diff --git a/app/api/submit/index.dspy b/app/api/submit/index.dspy
index 756f3c8..dee03fa 100644
--- a/app/api/submit/index.dspy
+++ b/app/api/submit/index.dspy
@@ -20,7 +20,7 @@ if method == 'POST':
     sample_guide_scale = params_kw.get('sample_guide_scale', None)
     base_seed = params_kw.get('base_seed', None)
 
-    valid_sizes = ['704*1280', '1280*704']
+    valid_sizes = ['480*832', '832*480', '704*1024', '1024*704', '704*1280', '1280*704']
     if size not in valid_sizes:
         return json.dumps({'error': f'invalid size, must be one of: {valid_sizes}'}, ensure_ascii=False)
 
@@ -67,5 +67,5 @@ else:
             'base_seed': 'int (optional)',
             'task_id': 'string (optional, auto-generated)',
         },
-        'valid_sizes': ['704*1280', '1280*704']
+        'valid_sizes': valid_sizes
     }, ensure_ascii=False)
diff --git a/nohup.out b/nohup.out
new file mode 100644
index 0000000..0774de5
--- /dev/null
+++ b/nohup.out
@@ -0,0 +1,22 @@
+2026-06-13 19:47:13.896[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/configuredServer.py:40]client_max_size=1024000000
+reuse_port= True
+<bound method LongTasks.run of <__main__.Wan22Tasks object at 0x7fc25c0eae60>> is a coroutine
+2026-06-13 19:47:13.898[webapp][debug][/data/ymq/wan22-service/ah.py:32]longtasks worker started, GPU: 2
+======== Running on http://0.0.0.0:8079 ========
+(Press CTRL+C to quit)
+2026-06-13 19:47:13.998[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 19:47:14.001[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:131][worker 0] start
+2026-06-13 19:47:26.171[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=Z_nN_4cWgxJQCP2QhgnAs
+2026-06-13 19:47:26.172[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': '439fcdcf2e08', 'prompt': 'A cat walking on a rainbow bridge in a sunny park, cartoon style, cinematic', 'image': None, 'size': '1280*704', 'frame_num': 33, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781351246.1700892, 'task_id': 'Z_nN_4cWgxJQCP2QhgnAs'}
+2026-06-13 19:47:26.172[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 19:47:26.175[webapp][debug][/data/ymq/wan22-service/workers/generate.py:29]Loading Wan22 engine (first call, may take 30-60s)...
+
Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|██████████| 3/3 [00:00<00:00, 52.13it/s]
+2026-06-13 19:48:38.172[webapp][debug][/data/ymq/wan22-service/workers/generate.py:49]Wan22 engine loaded, GPU: 2
+
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+/data/ymq/wan22-service/repo/wan/modules/vae2_2.py:1042: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast(dtype=self.dtype):
+2026-06-13 19:50:30.939[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/439fcdcf2e08.mp4 (1343833 bytes)
+2026-06-13 19:50:30.941[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished Z_nN_4cWgxJQCP2QhgnAs
+2026-06-13 19:52:14.001[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 19:57:14.005[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+sys:1: RuntimeWarning: coroutine 'Connection.disconnect' was never awaited
diff --git a/nohup_gpu1.out b/nohup_gpu1.out
new file mode 100644
index 0000000..eb55c8e
--- /dev/null
+++ b/nohup_gpu1.out
@@ -0,0 +1,564 @@
+2026-06-13 19:58:05.640[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/configuredServer.py:40]client_max_size=1024000000
+reuse_port= True
+<bound method LongTasks.run of <__main__.Wan22Tasks object at 0x7fc60d9bad40>> is a coroutine
+2026-06-13 19:58:05.642[webapp][debug][/data/ymq/wan22-service/ah.py:32]longtasks worker started, GPU: 1
+======== Running on http://0.0.0.0:8079 ========
+(Press CTRL+C to quit)
+2026-06-13 19:58:05.742[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 19:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:131][worker 0] start
+2026-06-13 20:02:40.958[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=WWI20LOCUyF0ZtFQb97Fr
+2026-06-13 20:02:40.959[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'c0be4524e760', 'prompt': 'Concurrent test task 2 - mountain landscape with flowing river', 'image': None, 'size': '832*480', 'frame_num': 33, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781352160.9567037, 'task_id': 'WWI20LOCUyF0ZtFQb97Fr'}
+2026-06-13 20:02:40.959[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 20:02:40.963[webapp][debug][/data/ymq/wan22-service/workers/generate.py:29]Loading Wan22 engine (first call, may take 30-60s)...
+
Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|██████████| 3/3 [00:00<00:00, 50.35it/s]
+2026-06-13 20:03:56.662[webapp][debug][/data/ymq/wan22-service/workers/generate.py:49]Wan22 engine loaded, GPU: 1
+
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+
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+/data/ymq/wan22-service/repo/wan/modules/vae2_2.py:1042: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast(dtype=self.dtype):
+2026-06-13 20:05:03.726[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/c0be4524e760.mp4 (2261757 bytes)
+2026-06-13 20:05:03.728[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished WWI20LOCUyF0ZtFQb97Fr
+2026-06-13 20:09:21.477[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:14:01.026[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=zAY2QdsIa-vq0CN9k0rVK
+2026-06-13 20:14:01.027[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'scene_02', 'prompt': "A colossal neon-lit music awards hall transforming into a museum. Giant LED billboards displaying '#1 FOREVER' explode with golden confetti. Music chart leaderboards literally turn into stone monuments with the song's title carved in marble. Competing artists' entries crumble to dust. A massive holographic crown descends from the ceiling. The camera sweeps upward in a dramatic crane shot revealing an endless hall of trophies. Cyberpunk cityscape visible through floor-to-ceiling windows, bathed in electric pink and gold. Overwhelming visual excess and triumphalist imagery.", 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781352841.0250335, 'task_id': 'zAY2QdsIa-vq0CN9k0rVK'}
+2026-06-13 20:14:01.028[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 20:14:21.481[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-13 20:17:01.841[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/scene_02.mp4 (9356196 bytes)
+2026-06-13 20:17:01.842[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished zAY2QdsIa-vq0CN9k0rVK
+2026-06-13 20:17:01.843[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=JH4R5v_kywNjP0y5_f4XW
+2026-06-13 20:17:01.843[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'scene_05', 'prompt': "A futuristic music academy where students in uniform sit in a grand lecture hall studying 'The Intro' on holographic music sheets. A professor points at a massive blackboard covered in analysis of a single 4-bar melody. Historical music textbooks are shown being shredded and replaced with new editions. Musical notation literally trembles and bows on animated sheet music. The camera pulls back to reveal the entire campus reshaped into the song's waveform. Academic green and cyberpunk purple tones. Institutional satire meets sci-fi academia.", 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781352841.0480733, 'task_id': 'JH4R5v_kywNjP0y5_f4XW'}
+2026-06-13 20:17:01.843[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+2026-06-13 20:19:21.490[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:19:53.058[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/scene_05.mp4 (9010461 bytes)
+2026-06-13 20:19:53.060[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished JH4R5v_kywNjP0y5_f4XW
+2026-06-13 20:20:44.352[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=y5fINH-nyrgFa93P2ydB1
+2026-06-13 20:20:44.353[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s03', 'prompt': 'An absurdly long assembly line where glowing musical notes travel through hundreds of scanning stations. Robotic arms with magnifying glasses inspect each note. Sterile white mixed with neon green.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.351516, 'task_id': 'y5fINH-nyrgFa93P2ydB1'}
+2026-06-13 20:20:44.354[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:23:39.237[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s03.mp4 (5381841 bytes)
+2026-06-13 20:23:39.239[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished y5fINH-nyrgFa93P2ydB1
+2026-06-13 20:23:39.239[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=nJjiS77mYrk-w0sw4ZHnl
+2026-06-13 20:23:39.240[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s26', 'prompt': 'A cosmic shot of the entire galaxy pulsing to the songs rhythm. Stars rearrange into Chinese characters across the Milky Way. Earth surrounded by billions of glowing screens.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.5364954, 'task_id': 'nJjiS77mYrk-w0sw4ZHnl'}
+2026-06-13 20:23:39.240[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:26:29.462[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s26.mp4 (11488131 bytes)
+2026-06-13 20:26:29.463[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished nJjiS77mYrk-w0sw4ZHnl
+2026-06-13 20:26:29.464[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s26
+2026-06-13 20:26:29.465[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s26', 'prompt': 'A cosmic shot of the entire galaxy pulsing to the songs rhythm. Stars rearrange into Chinese characters across the Milky Way. Earth surrounded by billions of glowing screens.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6092656, 'task_id': 'mtv_s26'}
+2026-06-13 20:26:29.466[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:29:19.195[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s26.mp4 (11488131 bytes)
+2026-06-13 20:29:19.197[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s26
+2026-06-13 20:29:19.197[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s22
+2026-06-13 20:29:19.198[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s22', 'prompt': 'A propaganda ministry control room. Officials manipulate giant screens showing statistics being optimized. Bars growing impossibly tall, pie charts distorting. Workers adjust narrative dials.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.608437, 'task_id': 'mtv_s22'}
+2026-06-13 20:29:19.198[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 20:29:21.497[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-13 20:32:08.815[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s22.mp4 (6026137 bytes)
+2026-06-13 20:32:08.817[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s22
+2026-06-13 20:32:08.818[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s18
+2026-06-13 20:32:08.818[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s18', 'prompt': 'A futuristic music academy lecture hall. Students in uniform study a single four bar melody on holographic music sheets. Professor points at massive blackboard analysis of the intro.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6076639, 'task_id': 'mtv_s18'}
+2026-06-13 20:32:08.819[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+
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+2026-06-13 20:34:59.038[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s18.mp4 (5014341 bytes)
+2026-06-13 20:34:59.039[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s18
+2026-06-13 20:34:59.040[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s14
+2026-06-13 20:34:59.041[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s14', 'prompt': 'A dystopian surveillance command center. Giant screens categorize social media comments as positive or needs legal attention. Red alert sirens flash when doubt is detected. Dark blue atmosphere.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6068547, 'task_id': 'mtv_s14'}
+2026-06-13 20:34:59.041[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:37:49.670[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s14.mp4 (8044800 bytes)
+2026-06-13 20:37:49.672[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s14
+2026-06-13 20:37:49.673[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s10
+2026-06-13 20:37:49.673[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s10', 'prompt': 'A chaotic war room where music critics sit around an enormous circular table covered in holographic analysis charts. News tickers scroll breaking news about the song changing the world.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.606054, 'task_id': 'mtv_s10'}
+2026-06-13 20:37:49.674[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:40:39.370[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s10.mp4 (6320449 bytes)
+2026-06-13 20:40:39.372[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s10
+2026-06-13 20:40:39.372[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s06
+2026-06-13 20:40:39.373[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s06', 'prompt': 'A colossal neon-lit awards hall. Giant LED billboards displaying number one forever explode with golden confetti. Music charts literally turn into marble monuments. Triumphant excess.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6052098, 'task_id': 'mtv_s06'}
+2026-06-13 20:40:39.374[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:43:29.292[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s06.mp4 (14808947 bytes)
+2026-06-13 20:43:29.293[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s06
+2026-06-13 20:43:29.293[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s02
+2026-06-13 20:43:29.294[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s02', 'prompt': 'A golden stamp reading TOP SECRET slams onto a futuristic document. Camera pulls back to reveal an enormous vault filled with classified projects. Volumetric fog, dramatic rim lighting.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.604418, 'task_id': 'mtv_s02'}
+2026-06-13 20:43:29.294[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:46:19.744[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s02.mp4 (3976470 bytes)
+2026-06-13 20:46:19.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s02
+2026-06-13 20:46:19.749[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=6DIV929OnvfgnJf7WaQHE
+2026-06-13 20:46:19.750[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s24', 'prompt': 'Close-up of data being manually adjusted on holographic displays. Numbers being dragged upward with gloved hands. Reality distortion field made visible through glitching digital artifacts.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.517502, 'task_id': '6DIV929OnvfgnJf7WaQHE'}
+2026-06-13 20:46:19.750[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:49:08.721[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s24.mp4 (10568550 bytes)
+2026-06-13 20:49:08.723[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished 6DIV929OnvfgnJf7WaQHE
+2026-06-13 20:49:08.724[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=vs1xIHt1Y2cW32a0eujon
+2026-06-13 20:49:08.724[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s20', 'prompt': 'Musical notation literally trembling and bowing on animated sheet music displayed on giant screens. Notes rearrange themselves into the song melody pattern. Academic absurdity.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.4885075, 'task_id': 'vs1xIHt1Y2cW32a0eujon'}
+2026-06-13 20:49:08.725[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 20:49:21.527[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-13 20:51:57.650[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s20.mp4 (2902906 bytes)
+2026-06-13 20:51:57.652[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished vs1xIHt1Y2cW32a0eujon
+2026-06-13 20:51:57.652[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=83Swi1wBZ4qk1dQRB54Js
+2026-06-13 20:51:57.653[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s16', 'prompt': 'Automated response bots on screens explaining away negative comments. A sentiment analysis dashboard shows sentiment being forcibly corrected to positive. Orwellian PR aesthetic.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.4563832, 'task_id': '83Swi1wBZ4qk1dQRB54Js'}
+2026-06-13 20:51:57.653[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:54:21.628[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:54:46.134[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s16.mp4 (3827155 bytes)
+2026-06-13 20:54:46.135[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished 83Swi1wBZ4qk1dQRB54Js
+2026-06-13 20:54:46.136[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=jek-wKKwB5oQE_QkW0sgn
+2026-06-13 20:54:46.137[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s13', 'prompt': 'A professor at a whiteboard desperately trying to prove simplicity equals genius using absurd mathematical equations. Students taking notes on holographic tablets. Academic satire.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.4312797, 'task_id': 'jek-wKKwB5oQE_QkW0sgn'}
+2026-06-13 20:54:46.137[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:57:36.326[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s13.mp4 (2853336 bytes)
+2026-06-13 20:57:36.328[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished jek-wKKwB5oQE_QkW0sgn
+2026-06-13 20:57:36.329[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=Fkq2yeZH_7rJUk1vWwsm2
+2026-06-13 20:57:36.329[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s09', 'prompt': 'A massive countdown timer hits zero. An explosion of golden light transforms the entire city skyline. Buildings reshape into musical notes. Aerial crane shot over neon metropolis.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.4001312, 'task_id': 'Fkq2yeZH_7rJUk1vWwsm2'}
+2026-06-13 20:57:36.330[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+
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+2026-06-13 21:00:26.375[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s09.mp4 (8789269 bytes)
+2026-06-13 21:00:26.376[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished Fkq2yeZH_7rJUk1vWwsm2
+2026-06-13 21:00:26.377[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=IAVfLxGCTVcf2pVT1PQbx
+2026-06-13 21:00:26.378[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s06', 'prompt': 'A colossal neon-lit awards hall. Giant LED billboards displaying number one forever explode with golden confetti. Music charts literally turn into marble monuments. Triumphant excess.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.3722432, 'task_id': 'IAVfLxGCTVcf2pVT1PQbx'}
+2026-06-13 21:00:26.378[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 21:03:16.881[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s06.mp4 (14808947 bytes)
+2026-06-13 21:03:16.883[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished IAVfLxGCTVcf2pVT1PQbx
+2026-06-13 21:04:21.708[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:09:21.711[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:14:21.712[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:19:21.716[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:24:21.719[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:29:21.721[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:34:21.726[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:39:21.730[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:44:21.733[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:49:21.734[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:54:21.739[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 21:59:21.742[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:04:21.744[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:09:21.744[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:14:21.749[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:19:21.750[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:24:21.751[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:29:21.753[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:34:21.756[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:39:21.757[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:44:21.757[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:49:21.761[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:54:21.763[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 22:59:21.764[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:04:21.769[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:09:21.772[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:14:21.774[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:19:21.774[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:24:21.778[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:29:21.781[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:34:21.782[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:39:21.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:44:21.789[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:49:21.791[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:52:12.200[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s01
+2026-06-13 23:52:12.201[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s01', 'prompt': 'Close-up of ocean waves crashing on shore, seashells scattered on wet sand, summer afternoon, peaceful atmosphere', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781365932.1992104, 'task_id': 'dielv_s01'}
+2026-06-13 23:52:12.202[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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 93%|█████████▎| 28/30 [01:47<00:07,  3.86s/it]2026-06-13 23:54:21.893[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+
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+2026-06-13 23:55:01.046[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s01.mp4 (6060675 bytes)
+2026-06-13 23:55:01.048[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s01
+2026-06-13 23:55:01.049[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s22
+2026-06-13 23:55:01.049[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s22', 'prompt': 'Final shot: sunset beach with guitar leaning against driftwood, waves gently washing, musical legacy, peaceful ending, warm tones fading', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6873186, 'task_id': 'dielv_s22'}
+2026-06-13 23:55:01.050[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 23:57:51.138[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s22.mp4 (4991745 bytes)
+2026-06-13 23:57:51.140[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s22
+2026-06-13 23:57:51.141[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s18
+2026-06-13 23:57:51.142[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s18', 'prompt': 'A lighthouse beam sweeping across dark ocean waters, rhythmic rotation, beacon in the night, metaphor for persistence', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.686545, 'task_id': 'dielv_s18'}
+2026-06-13 23:57:51.142[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 23:58:05.746[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
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+
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+2026-06-14 00:00:42.303[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s18.mp4 (3594139 bytes)
+2026-06-14 00:00:42.305[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s18
+2026-06-14 00:00:42.305[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s13
+2026-06-14 00:00:42.305[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s13', 'prompt': 'A middle-aged musician performing in a park, surrounded by trees, children listening, warm afternoon sunlight, simple joy', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6855578, 'task_id': 'dielv_s13'}
+2026-06-14 00:00:42.306[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:03:32.714[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s13.mp4 (8107530 bytes)
+2026-06-14 00:03:32.716[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s13
+2026-06-14 00:03:32.716[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s08
+2026-06-14 00:03:32.717[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s08', 'prompt': 'Beautiful sunset over the ocean, silhouette of a person standing on a pier, contemplative mood, orange and purple sky', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6845872, 'task_id': 'dielv_s08'}
+2026-06-14 00:03:32.718[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+
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+2026-06-14 00:06:23.100[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s08.mp4 (1566713 bytes)
+2026-06-14 00:06:23.103[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s08
+2026-06-14 00:06:23.103[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s04
+2026-06-14 00:06:23.104[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s04', 'prompt': 'A young musician performing on a small street stage, strumming guitar, people walking by, urban evening golden hour', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6836863, 'task_id': 'dielv_s04'}
+2026-06-14 00:06:23.105[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:09:12.749[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s04.mp4 (7525309 bytes)
+2026-06-14 00:09:12.751[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s04
+2026-06-14 00:09:12.751[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s01
+2026-06-14 00:09:12.752[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s01', 'prompt': 'Close-up of ocean waves crashing on shore, seashells scattered on wet sand, summer afternoon, peaceful atmosphere', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6828666, 'finished_at': 1781366101.046948, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s01', 'status': 'completed', 'video_url': '/idfile?path=dielv_s01.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s01.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 6060675, 'prompt': 'Close-up of ocean waves crashing on shore, seashells scattered on wet sand, summer afternoon, peacef', 'seed': 1789236950}, 'task_id': 'dielv_s01', 'started_at': 1781365932.201129}
+2026-06-14 00:09:12.752[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:09:22.031[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-14 00:12:03.448[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s01.mp4 (6060675 bytes)
+2026-06-14 00:12:03.450[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s01
+2026-06-14 00:12:03.451[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s20
+2026-06-14 00:12:03.451[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s20', 'prompt': 'A young child sitting next to the elderly musician on the beach, learning to play, generational passing of music, heartwarming', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6869352, 'finished_at': 1781366273.2605314, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s20', 'status': 'completed', 'video_url': '/idfile?path=dielv_s20.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s20.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 4294198, 'prompt': 'A young child sitting next to the elderly musician on the beach, learning to play, generational pass', 'seed': 2087212057}, 'task_id': 'dielv_s20', 'started_at': 1781366102.829839}
+2026-06-14 00:12:03.452[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:14:22.132[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:14:53.186[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s20.mp4 (2668228 bytes)
+2026-06-14 00:14:53.187[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s20
+2026-06-14 00:14:53.188[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s16
+2026-06-14 00:14:53.189[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s16', 'prompt': 'Moonlight reflecting on calm ocean surface, gentle ripples creating patterns, serene night scene, silver blue tones, meditative', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6861644, 'finished_at': 1781366442.559764, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s16', 'status': 'completed', 'video_url': '/idfile?path=dielv_s16.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s16.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 6756423, 'prompt': 'Moonlight reflecting on calm ocean surface, gentle ripples creating patterns, serene night scene, si', 'seed': 2087212057}, 'task_id': 'dielv_s16', 'started_at': 1781366273.2628243}
+2026-06-14 00:14:53.189[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:17:44.398[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s16.mp4 (4597770 bytes)
+2026-06-14 00:17:44.399[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s16
+2026-06-14 00:17:44.400[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s12
+2026-06-14 00:17:44.401[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s12', 'prompt': 'Waves continuously hitting rocky shores, time-lapse style showing the repetitive rhythm of nature, powerful yet calming', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6853685, 'finished_at': 1781366611.4932868, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s12', 'status': 'completed', 'video_url': '/idfile?path=dielv_s12.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s12.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 7191313, 'prompt': 'Waves continuously hitting rocky shores, time-lapse style showing the repetitive rhythm of nature, p', 'seed': 2087212057}, 'task_id': 'dielv_s12', 'started_at': 1781366442.562628}
+2026-06-14 00:17:44.401[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:20:34.835[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s12.mp4 (7052668 bytes)
+2026-06-14 00:20:34.836[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s12
+2026-06-14 00:20:34.837[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s07
+2026-06-14 00:20:34.838[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s07', 'prompt': 'Musical notes and sound waves visualized as colorful light trails flowing through a concert hall, abstract artistic visualization', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6843948, 'finished_at': 1781366787.132953, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s07', 'status': 'completed', 'video_url': '/idfile?path=dielv_s07.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s07.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 6819770, 'prompt': 'Musical notes and sound waves visualized as colorful light trails flowing through a concert hall, ab', 'seed': 1574215179}, 'task_id': 'dielv_s07', 'started_at': 1781366616.495498}
+2026-06-14 00:20:34.839[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:23:24.748[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s07.mp4 (8004551 bytes)
+2026-06-14 00:23:24.751[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s07
+2026-06-14 00:23:24.751[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s03
+2026-06-14 00:23:24.752[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s03', 'prompt': 'A teenage boy learning to play acoustic guitar on a wooden porch, warm indoor lighting, focused expression, coming of age', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6832242, 'finished_at': 1781366956.6890435, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s03', 'status': 'completed', 'video_url': '/idfile?path=dielv_s03.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s03.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 3872680, 'prompt': 'A teenage boy learning to play acoustic guitar on a wooden porch, warm indoor lighting, focused expr', 'seed': 1574215179}, 'task_id': 'dielv_s03', 'started_at': 1781366787.1368527}
+2026-06-14 00:23:24.753[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:26:15.261[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s03.mp4 (4532696 bytes)
+2026-06-14 00:26:15.262[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s03
+2026-06-14 00:26:15.263[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s22
+2026-06-14 00:26:15.264[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s22', 'prompt': 'Final shot: sunset beach with guitar leaning against driftwood, waves gently washing, musical legacy, peaceful ending, warm tones fading', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6873186, 'finished_at': 1781367128.6373181, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s22', 'status': 'completed', 'video_url': '/idfile?path=dielv_s22.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s22.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 4641915, 'prompt': 'Final shot: sunset beach with guitar leaning against driftwood, waves gently washing, musical legacy', 'seed': 1574215179}, 'task_id': 'dielv_s22', 'started_at': 1781366956.69278}
+2026-06-14 00:26:15.265[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:29:05.763[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s22.mp4 (4991745 bytes)
+2026-06-14 00:29:05.765[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s22
+2026-06-14 00:29:05.765[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s18
+2026-06-14 00:29:05.766[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s18', 'prompt': 'A lighthouse beam sweeping across dark ocean waters, rhythmic rotation, beacon in the night, metaphor for persistence', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.686545, 'finished_at': 1781367298.3950171, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s18', 'status': 'completed', 'video_url': '/idfile?path=dielv_s18.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s18.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 3465578, 'prompt': 'A lighthouse beam sweeping across dark ocean waters, rhythmic rotation, beacon in the night, metapho', 'seed': 1574215179}, 'task_id': 'dielv_s18', 'started_at': 1781367128.640474}
+2026-06-14 00:29:05.766[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:29:22.307[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-14 00:31:53.768[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s18.mp4 (3594139 bytes)
+2026-06-14 00:31:53.770[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s18
+2026-06-14 00:31:53.771[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s15
+2026-06-14 00:31:53.772[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s15', 'prompt': 'A crowd of people singing together at an outdoor concert, everyone swaying to the same melody, unity in music, golden hour', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.685966, 'finished_at': 1781367464.4287035, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s15', 'status': 'completed', 'video_url': '/idfile?path=dielv_s15.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s15.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 7294323, 'prompt': 'A crowd of people singing together at an outdoor concert, everyone swaying to the same melody, unity', 'seed': 2087212057}, 'task_id': 'dielv_s15', 'started_at': 1781367294.5780652}
+2026-06-14 00:31:53.772[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:34:22.408[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:34:41.326[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s15.mp4 (7683800 bytes)
+2026-06-14 00:34:41.327[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s15
+2026-06-14 00:34:41.328[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s11
+2026-06-14 00:34:41.329[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s11', 'prompt': 'The same musician sitting quietly by a window with an acoustic guitar, simple and peaceful, natural daylight, returning to roots', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6851797, 'finished_at': 1781367633.700497, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s11', 'status': 'completed', 'video_url': '/idfile?path=dielv_s11.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s11.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 1699966, 'prompt': 'The same musician sitting quietly by a window with an acoustic guitar, simple and peaceful, natural ', 'seed': 2087212057}, 'task_id': 'dielv_s11', 'started_at': 1781367464.431645}
+2026-06-14 00:34:41.329[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:37:30.994[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s11.mp4 (1687544 bytes)
+2026-06-14 00:37:30.996[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s11
+2026-06-14 00:37:30.996[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s07
+2026-06-14 00:37:30.997[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s07', 'prompt': 'Musical notes and sound waves visualized as colorful light trails flowing through a concert hall, abstract artistic visualization', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6843948, 'finished_at': 1781367804.74926, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s07', 'status': 'completed', 'video_url': '/idfile?path=dielv_s07.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s07.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 8004551, 'prompt': 'Musical notes and sound waves visualized as colorful light trails flowing through a concert hall, ab', 'seed': 1789236950}, 'task_id': 'dielv_s07', 'started_at': 1781367634.8388765}
+2026-06-14 00:37:30.998[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+
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+2026-06-14 00:40:19.382[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s07.mp4 (8004551 bytes)
+2026-06-14 00:40:19.384[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s07
+2026-06-14 00:40:19.384[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s03
+2026-06-14 00:40:19.385[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s03', 'prompt': 'A teenage boy learning to play acoustic guitar on a wooden porch, warm indoor lighting, focused expression, coming of age', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6832242, 'finished_at': 1781367975.2612078, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s03', 'status': 'completed', 'video_url': '/idfile?path=dielv_s03.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s03.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 4532696, 'prompt': 'A teenage boy learning to play acoustic guitar on a wooden porch, warm indoor lighting, focused expr', 'seed': 1789236950}, 'task_id': 'dielv_s03', 'started_at': 1781367804.7528274}
+2026-06-14 00:40:19.385[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:43:08.784[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s03.mp4 (4532696 bytes)
+2026-06-14 00:43:08.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s03
+2026-06-14 00:43:08.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s20
+2026-06-14 00:43:08.787[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s20', 'prompt': 'A young child sitting next to the elderly musician on the beach, learning to play, generational passing of music, heartwarming', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8580103, 'task_id': 'dielv_hd_s20'}
+2026-06-14 00:43:08.787[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+2026-06-14 00:43:26.790[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 1.99 GiB. GPU 0 has a total capacity of 23.52 GiB of which 1.69 GiB is free. Including non-PyTorch memory, this process has 21.82 GiB memory in use. Of the allocated memory 21.21 GiB is allocated by PyTorch, and 74.81 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 384, in t2v
+    noise_pred_cond = self.model(
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/data/ymq/wan22-service/repo/wan/modules/model.py", line 490, in forward
+    x = block(x, **kwargs)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/data/ymq/wan22-service/repo/wan/modules/model.py", line 239, in forward
+    e = (self.modulation.unsqueeze(0) + e).chunk(6, dim=2)
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.99 GiB. GPU 0 has a total capacity of 23.52 GiB of which 1.69 GiB is free. Including non-PyTorch memory, this process has 21.82 GiB memory in use. Of the allocated memory 21.21 GiB is allocated by PyTorch, and 74.81 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:26.791[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s20
+2026-06-14 00:44:22.513[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:49:22.516[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:54:22.518[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 00:59:22.518[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:04:22.523[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:09:22.525[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:14:22.527[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:19:22.532[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:24:22.536[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:29:22.538[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:34:22.539[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:39:22.544[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:44:22.548[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:49:22.550[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:54:22.550[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:58:05.746[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 01:59:22.554[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:04:22.557[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:09:22.558[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:14:22.563[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:19:22.567[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:24:22.569[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:29:22.570[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:34:22.574[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:39:22.577[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:44:22.578[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:49:22.583[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:54:22.586[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 02:59:22.587[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:04:22.588[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:09:22.592[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:14:22.595[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:19:22.597[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:24:22.602[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:29:22.606[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:34:22.609[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:39:22.609[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:44:22.613[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:49:22.616[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:54:22.618[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 03:59:22.619[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:04:22.622[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:09:22.625[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:14:22.626[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:19:22.631[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:24:22.634[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:29:22.635[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:34:22.636[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:39:22.640[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:44:22.643[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:49:22.644[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:54:22.649[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 04:59:22.653[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:04:22.654[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:09:22.656[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:14:22.661[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:19:22.663[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:24:22.665[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:29:22.671[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:34:22.674[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:39:22.676[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:44:22.676[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:49:22.681[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:54:22.684[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 05:59:22.686[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:04:22.686[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:09:22.690[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:14:22.692[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:19:22.694[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:24:22.699[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:29:22.703[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:34:22.705[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:39:22.705[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:44:22.709[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:49:22.712[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:54:22.713[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 06:59:22.718[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:04:22.721[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:09:22.724[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:14:22.724[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:19:22.728[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:24:22.731[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:29:22.731[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:34:22.734[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:39:22.738[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:44:22.741[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:49:22.741[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:54:22.746[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 07:59:22.749[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:04:22.751[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:09:22.751[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:14:22.755[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:19:22.758[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:24:22.758[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:29:22.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:34:22.765[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:39:22.767[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:44:22.767[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:49:22.771[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:54:22.774[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 08:59:22.775[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:04:22.780[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:09:22.783[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:14:22.785[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:19:22.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:24:22.790[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:29:22.793[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:34:22.795[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:39:22.800[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:44:22.803[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:49:22.806[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:54:22.807[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 09:59:22.811[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:04:22.815[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:09:22.815[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:14:22.820[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:19:22.822[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:24:22.824[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:29:22.825[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:34:22.830[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:39:22.833[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:44:22.835[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:49:22.840[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:54:22.843[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 10:59:22.845[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:04:22.846[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:09:22.851[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:14:22.854[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:19:22.856[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:24:22.861[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:29:22.865[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:34:22.868[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:39:22.868[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:44:22.872[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:49:22.874[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:54:22.876[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:58:05.746[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 11:59:22.881[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:04:22.884[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:09:22.887[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:14:22.887[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:19:22.890[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:24:22.893[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:29:22.894[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:34:22.899[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:39:22.903[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:44:22.905[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:49:22.906[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:54:22.910[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:58:05.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 12:59:22.913[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:04:22.914[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:09:22.920[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:14:22.922[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:19:22.924[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:24:22.924[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:29:22.926[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:34:22.929[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:39:22.931[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:44:22.936[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:49:22.940[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:54:22.942[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:58:05.746[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 13:59:22.943[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:04:22.947[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:09:22.950[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:14:22.951[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:19:22.956[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:24:22.959[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:29:22.962[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:34:22.962[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:39:22.967[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:44:22.970[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:49:22.972[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:54:22.972[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:58:05.746[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 14:59:22.976[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:04:22.979[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:09:22.980[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:14:22.985[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:19:22.989[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:24:22.990[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:29:22.991[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:33:38.135[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/processorResource.py:436]fpath is None ..., url='http://127.0.0.1:8079/status', url1='http://127.0.0.1:8079/status'
+2026-06-14 15:33:38.136[webapp][exception][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py:189]Exception=client(127.0.0.1) None access /status cost 0.002578258514404297, (0.00041294097900390625), except=str(request.url)='http://127.0.0.1:8079/status' invalid path
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py", line 175, in checkAuth
+    ret = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/processorResource.py", line 377, in _handle
+    raise Exception(f'{str(request.url)=} invalid path')
+Exception: str(request.url)='http://127.0.0.1:8079/status' invalid path
+
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py", line 175, in checkAuth
+    ret = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/processorResource.py", line 377, in _handle
+    raise Exception(f'{str(request.url)=} invalid path')
+Exception: str(request.url)='http://127.0.0.1:8079/status' invalid path
+
+ERROR:aiohttp.server:Error handling request
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp/web_protocol.py", line 477, in _handle_request
+    resp = await request_handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp/web_app.py", line 559, in _handle
+    return await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp/web_middlewares.py", line 117, in impl
+    return await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/real_ip.py", line 22, in middleware
+    return await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp_session/__init__.py", line 191, in factory
+    response = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp_auth/auth/auth.py", line 29, in _middleware_handler
+    response = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py", line 190, in checkAuth
+    raise e
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py", line 175, in checkAuth
+    ret = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/processorResource.py", line 377, in _handle
+    raise Exception(f'{str(request.url)=} invalid path')
+Exception: str(request.url)='http://127.0.0.1:8079/status' invalid path
+2026-06-14 15:34:22.995[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:39:22.998[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:44:22.999[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:49:23.004[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:54:23.008[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:58:05.746[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 15:59:23.010[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:04:23.011[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:09:23.015[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:14:23.018[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:19:23.019[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:24:23.024[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
diff --git a/nohup_gpu2.out b/nohup_gpu2.out
new file mode 100644
index 0000000..3e6a3aa
--- /dev/null
+++ b/nohup_gpu2.out
@@ -0,0 +1,574 @@
+2026-06-13 19:58:06.653[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/configuredServer.py:40]client_max_size=1024000000
+reuse_port= True
+<bound method LongTasks.run of <__main__.Wan22Tasks object at 0x7f1830ce2d40>> is a coroutine
+2026-06-13 19:58:06.654[webapp][debug][/data/ymq/wan22-service/ah.py:32]longtasks worker started, GPU: 2
+======== Running on http://0.0.0.0:8079 ========
+(Press CTRL+C to quit)
+2026-06-13 19:58:06.755[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 19:58:06.757[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:131][worker 0] start
+2026-06-13 19:58:31.880[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=OwOonR1G4U7fEsy1mBodZ
+2026-06-13 19:58:31.881[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': '681b096112c5', 'prompt': 'A beautiful sunset over the ocean, waves gently lapping on the shore', 'image': None, 'size': '1280*704', 'frame_num': 33, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781351911.878588, 'task_id': 'OwOonR1G4U7fEsy1mBodZ'}
+2026-06-13 19:58:31.881[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 19:58:31.886[webapp][debug][/data/ymq/wan22-service/workers/generate.py:29]Loading Wan22 engine (first call, may take 30-60s)...
+
Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|██████████| 3/3 [00:00<00:00, 51.89it/s]
+2026-06-13 19:59:43.164[webapp][debug][/data/ymq/wan22-service/workers/generate.py:49]Wan22 engine loaded, GPU: 2
+
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+/data/ymq/wan22-service/repo/wan/modules/vae2_2.py:1042: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast(dtype=self.dtype):
+2026-06-13 20:01:35.086[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/681b096112c5.mp4 (5507132 bytes)
+2026-06-13 20:01:35.087[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished OwOonR1G4U7fEsy1mBodZ
+2026-06-13 20:02:40.922[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=szFTFRXVCa1ThcWmIv-Rj
+2026-06-13 20:02:40.923[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'fc03c292fde3', 'prompt': 'Concurrent test task 1 - mountain landscape with flowing river', 'image': None, 'size': '832*480', 'frame_num': 33, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781352160.9210994, 'task_id': 'szFTFRXVCa1ThcWmIv-Rj'}
+2026-06-13 20:02:40.924[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+
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+2026-06-13 20:03:48.318[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/fc03c292fde3.mp4 (1793125 bytes)
+2026-06-13 20:03:48.320[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished szFTFRXVCa1ThcWmIv-Rj
+2026-06-13 20:08:06.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:13:06.788[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:14:00.997[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=m501sRj8mXDuQySG2M6_4
+2026-06-13 20:14:00.999[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'scene_00', 'prompt': "A massive underground cyberpunk laboratory filled with holographic displays showing AI neural networks generating music. Rows of glowing server racks pulse with neon blue and purple light. Giant screens display waveform visualizations and the text 'TOP SECRET PROJECT'. Scientists in futuristic lab coats monitor hundreds of floating data panels. The camera slowly pushes forward through the lab, revealing an enormous central AI core shaped like a golden trophy, radiating light. Dark industrial environment with volumetric fog, dramatic rim lighting, cyan and magenta neon accents. Cinematic dolly-in shot.", 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781352840.9966664, 'task_id': 'm501sRj8mXDuQySG2M6_4'}
+2026-06-13 20:14:01.000[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+2026-06-13 20:17:07.145[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/scene_00.mp4 (10186962 bytes)
+2026-06-13 20:17:07.147[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished m501sRj8mXDuQySG2M6_4
+2026-06-13 20:17:07.148[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=Grg5bSPm4IGXZkQe_FBAG
+2026-06-13 20:17:07.149[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'scene_04', 'prompt': "A dystopian surveillance command center monitoring public opinion. Giant screens show social media comments being categorized as 'positive' or 'NEEDS LEGAL ATTENTION'. Lawyers in cyberpunk suits with glowing briefcases deploy from pods. A massive sentiment analysis dashboard shows negative comments being 'explained away' by automated response bots. Red alert sirens flash when doubt is detected. The camera slowly rotates 360 degrees around the central monitoring hub. Dark blue and red color scheme with authoritarian undertones. Orwellian meets corporate PR aesthetic.", 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781352841.0417051, 'task_id': 'Grg5bSPm4IGXZkQe_FBAG'}
+2026-06-13 20:17:07.149[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+
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+2026-06-13 20:19:55.376[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/scene_04.mp4 (7832935 bytes)
+2026-06-13 20:19:55.378[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished Grg5bSPm4IGXZkQe_FBAG
+2026-06-13 20:20:44.336[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=LfUr0rQ6qOm5xInpnsPhI
+2026-06-13 20:20:44.337[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s01', 'prompt': 'Close-up of neural network visualizations on giant screens, musical waveforms forming from data streams. The figure watches in silence as AI generates music. Neon purple and cyan reflections on their face.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.335333, 'task_id': 'LfUr0rQ6qOm5xInpnsPhI'}
+2026-06-13 20:20:44.337[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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 37%|███▋      | 11/30 [00:42<01:13,  3.86s/it]2026-06-13 20:21:47.221[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/processorResource.py:436]fpath is None ..., url='http://127.0.0.1:8079/api/health', url1='http://127.0.0.1:8079/api/health'
+2026-06-13 20:21:47.221[webapp][exception][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py:189]Exception=client(127.0.0.1) None access /api/health cost 0.0010652542114257812, (6.008148193359375e-05), except=str(request.url)='http://127.0.0.1:8079/api/health' invalid path
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py", line 175, in checkAuth
+    ret = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/processorResource.py", line 377, in _handle
+    raise Exception(f'{str(request.url)=} invalid path')
+Exception: str(request.url)='http://127.0.0.1:8079/api/health' invalid path
+
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py", line 175, in checkAuth
+    ret = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/processorResource.py", line 377, in _handle
+    raise Exception(f'{str(request.url)=} invalid path')
+Exception: str(request.url)='http://127.0.0.1:8079/api/health' invalid path
+
+ERROR:aiohttp.server:Error handling request
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp/web_protocol.py", line 477, in _handle_request
+    resp = await request_handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp/web_app.py", line 559, in _handle
+    return await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp/web_middlewares.py", line 117, in impl
+    return await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/real_ip.py", line 22, in middleware
+    return await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp_session/__init__.py", line 191, in factory
+    response = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp_auth/auth/auth.py", line 29, in _middleware_handler
+    response = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py", line 190, in checkAuth
+    raise e
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py", line 175, in checkAuth
+    ret = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/processorResource.py", line 377, in _handle
+    raise Exception(f'{str(request.url)=} invalid path')
+Exception: str(request.url)='http://127.0.0.1:8079/api/health' invalid path
+
 40%|████      | 12/30 [00:46<01:09,  3.86s/it]
 43%|████▎     | 13/30 [00:49<01:05,  3.86s/it]2026-06-13 20:21:55.148[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/processorResource.py:436]fpath is None ..., url='http://127.0.0.1:8079/', url1='http://127.0.0.1:8079/'
+2026-06-13 20:21:55.149[webapp][exception][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py:189]Exception=client(127.0.0.1) None access / cost 0.0018961429595947266, (0.0002465248107910156), except=str(request.url)='http://127.0.0.1:8079/' invalid path
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py", line 175, in checkAuth
+    ret = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/processorResource.py", line 377, in _handle
+    raise Exception(f'{str(request.url)=} invalid path')
+Exception: str(request.url)='http://127.0.0.1:8079/' invalid path
+
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py", line 175, in checkAuth
+    ret = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/processorResource.py", line 377, in _handle
+    raise Exception(f'{str(request.url)=} invalid path')
+Exception: str(request.url)='http://127.0.0.1:8079/' invalid path
+
+ERROR:aiohttp.server:Error handling request
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp/web_protocol.py", line 477, in _handle_request
+    resp = await request_handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp/web_app.py", line 559, in _handle
+    return await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp/web_middlewares.py", line 117, in impl
+    return await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/real_ip.py", line 22, in middleware
+    return await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp_session/__init__.py", line 191, in factory
+    response = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/aiohttp_auth/auth/auth.py", line 29, in _middleware_handler
+    response = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py", line 190, in checkAuth
+    raise e
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/auth_api.py", line 175, in checkAuth
+    ret = await handler(request)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/processorResource.py", line 377, in _handle
+    raise Exception(f'{str(request.url)=} invalid path')
+Exception: str(request.url)='http://127.0.0.1:8079/' invalid path
+
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+2026-06-13 20:23:06.800[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:23:32.719[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s01.mp4 (7905173 bytes)
+2026-06-13 20:23:32.721[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished LfUr0rQ6qOm5xInpnsPhI
+2026-06-13 20:23:32.721[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=P_-qe-eWzvab3A8vYLwYz
+2026-06-13 20:23:32.722[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s29', 'prompt': 'Final shot: chaos of opinions, believers, doubters, angry mobs, followers all feeding into a massive algorithmic engine that converts controversy into traffic. Engine hums. Fade to black.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.5596755, 'task_id': 'P_-qe-eWzvab3A8vYLwYz'}
+2026-06-13 20:23:32.723[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+2026-06-13 20:26:22.723[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s29.mp4 (10203420 bytes)
+2026-06-13 20:26:22.724[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished P_-qe-eWzvab3A8vYLwYz
+2026-06-13 20:26:22.724[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s29
+2026-06-13 20:26:22.725[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s29', 'prompt': 'Final shot: chaos of opinions, believers, doubters, angry mobs, followers all feeding into a massive algorithmic engine that converts controversy into traffic. Engine hums. Fade to black.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.609854, 'task_id': 'mtv_s29'}
+2026-06-13 20:26:22.726[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+
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+2026-06-13 20:29:13.397[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s29.mp4 (10203420 bytes)
+2026-06-13 20:29:13.399[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s29
+2026-06-13 20:29:13.400[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s25
+2026-06-13 20:29:13.401[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s25', 'prompt': 'The propaganda officials celebrating around a cake shaped like the song album cover. Confetti cannons fire. Totalitarian kitsch meets cyberpunk absurdity. Gold and crimson.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6090753, 'task_id': 'mtv_s25'}
+2026-06-13 20:29:13.401[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:32:04.449[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s25.mp4 (9499715 bytes)
+2026-06-13 20:32:04.451[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s25
+2026-06-13 20:32:04.451[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s20
+2026-06-13 20:32:04.452[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s20', 'prompt': 'Musical notation literally trembling and bowing on animated sheet music displayed on giant screens. Notes rearrange themselves into the song melody pattern. Academic absurdity.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6080523, 'task_id': 'mtv_s20'}
+2026-06-13 20:32:04.452[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:34:53.248[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s20.mp4 (3787804 bytes)
+2026-06-13 20:34:53.249[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s20
+2026-06-13 20:34:53.250[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s17
+2026-06-13 20:34:53.250[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s17', 'prompt': 'The original lone figure watching from a glass tower above the chaos, sipping coffee. Below, the entire city is in an uproar. Calm satisfaction contrasted with chaos below.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.607441, 'task_id': 'mtv_s17'}
+2026-06-13 20:34:53.251[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:37:43.370[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s17.mp4 (3666828 bytes)
+2026-06-13 20:37:43.372[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s17
+2026-06-13 20:37:43.373[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s13
+2026-06-13 20:37:43.374[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s13', 'prompt': 'A professor at a whiteboard desperately trying to prove simplicity equals genius using absurd mathematical equations. Students taking notes on holographic tablets. Academic satire.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.606649, 'task_id': 'mtv_s13'}
+2026-06-13 20:37:43.374[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+2026-06-13 20:40:32.229[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s13.mp4 (2307888 bytes)
+2026-06-13 20:40:32.231[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s13
+2026-06-13 20:40:32.232[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s09
+2026-06-13 20:40:32.232[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s09', 'prompt': 'A massive countdown timer hits zero. An explosion of golden light transforms the entire city skyline. Buildings reshape into musical notes. Aerial crane shot over neon metropolis.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6058004, 'task_id': 'mtv_s09'}
+2026-06-13 20:40:32.233[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:43:06.813[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:43:23.428[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s09.mp4 (12223288 bytes)
+2026-06-13 20:43:23.429[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s09
+2026-06-13 20:43:23.430[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s05
+2026-06-13 20:43:23.431[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s05', 'prompt': 'A giant conveyor belt carrying frequency spectrums through a tunnel of lasers. Red rejection warnings and green acceptance lights flash alternately. Industrial cyberpunk aesthetic.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6050174, 'task_id': 'mtv_s05'}
+2026-06-13 20:43:23.431[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:46:12.095[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s05.mp4 (11506057 bytes)
+2026-06-13 20:46:12.097[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s05
+2026-06-13 20:46:12.098[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s01
+2026-06-13 20:46:12.099[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s01', 'prompt': 'Close-up of neural network visualizations on giant screens, musical waveforms forming from data streams. The figure watches in silence as AI generates music. Neon purple and cyan reflections on their face.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6042397, 'task_id': 'mtv_s01'}
+2026-06-13 20:46:12.099[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+
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+2026-06-13 20:49:02.729[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s01.mp4 (7905173 bytes)
+2026-06-13 20:49:02.730[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s01
+2026-06-13 20:49:02.731[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=fuzALnUf7oTAsyh0V58qh
+2026-06-13 20:49:02.732[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s22', 'prompt': 'A propaganda ministry control room. Officials manipulate giant screens showing statistics being optimized. Bars growing impossibly tall, pie charts distorting. Workers adjust narrative dials.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.5013728, 'task_id': 'fuzALnUf7oTAsyh0V58qh'}
+2026-06-13 20:49:02.732[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:51:52.627[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s22.mp4 (4583466 bytes)
+2026-06-13 20:51:52.628[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished fuzALnUf7oTAsyh0V58qh
+2026-06-13 20:51:52.628[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=Q3pqgXMsYzzJ7_Hptf10F
+2026-06-13 20:51:52.628[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s18', 'prompt': 'A futuristic music academy lecture hall. Students in uniform study a single four bar melody on holographic music sheets. Professor points at massive blackboard analysis of the intro.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.4722435, 'task_id': 'Q3pqgXMsYzzJ7_Hptf10F'}
+2026-06-13 20:51:52.629[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:54:43.660[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s18.mp4 (4259352 bytes)
+2026-06-13 20:54:43.663[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished Q3pqgXMsYzzJ7_Hptf10F
+2026-06-13 20:54:43.664[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=IBknIRzdPBiXQdl4hfN-6
+2026-06-13 20:54:43.664[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s14', 'prompt': 'A dystopian surveillance command center. Giant screens categorize social media comments as positive or needs legal attention. Red alert sirens flash when doubt is detected. Dark blue atmosphere.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.4395947, 'task_id': 'IBknIRzdPBiXQdl4hfN-6'}
+2026-06-13 20:54:43.665[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:57:34.976[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s14.mp4 (6336259 bytes)
+2026-06-13 20:57:34.977[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished IBknIRzdPBiXQdl4hfN-6
+2026-06-13 20:57:34.978[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=AXU5ZfzH-wD0GLOo_U3TF
+2026-06-13 20:57:34.978[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s10', 'prompt': 'A chaotic war room where music critics sit around an enormous circular table covered in holographic analysis charts. News tickers scroll breaking news about the song changing the world.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.4076762, 'task_id': 'AXU5ZfzH-wD0GLOo_U3TF'}
+2026-06-13 20:57:34.979[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:58:06.894[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-13 21:00:26.654[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s10.mp4 (5898209 bytes)
+2026-06-13 21:00:26.656[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished AXU5ZfzH-wD0GLOo_U3TF
+2026-06-13 21:00:26.657[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=aaGYU5Qq71er0ISG9a5jT
+2026-06-13 21:00:26.657[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s05', 'prompt': 'A giant conveyor belt carrying frequency spectrums through a tunnel of lasers. Red rejection warnings and green acceptance lights flash alternately. Industrial cyberpunk aesthetic.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.3647897, 'task_id': 'aaGYU5Qq71er0ISG9a5jT'}
+2026-06-13 21:00:26.658[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 21:03:06.995[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:03:18.072[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s05.mp4 (11506057 bytes)
+2026-06-13 21:03:18.073[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished aaGYU5Qq71er0ISG9a5jT
+2026-06-13 21:08:06.998[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:13:07.000[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:18:07.005[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:23:07.009[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:28:07.012[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:33:07.011[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:38:07.015[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:43:07.018[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:48:07.020[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:53:07.025[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:58:06.758[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 21:58:07.026[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:03:07.029[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:08:07.029[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:13:07.034[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:18:07.037[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:23:07.039[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:28:07.039[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:33:07.043[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:38:07.045[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:43:07.046[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:48:07.051[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:53:07.054[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:58:06.758[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 22:58:07.055[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:03:07.056[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:08:07.059[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:13:07.061[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:18:07.063[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:23:07.068[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:28:07.071[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:33:07.073[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:38:07.073[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:43:07.077[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:48:07.079[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:52:12.200[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s02
+2026-06-13 23:52:12.201[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s02', 'prompt': 'An old tree on a hilltop under moonlight, cicadas singing in the night, peaceful rural summer evening, soft blue tones', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781365932.1997426, 'task_id': 'dielv_s02'}
+2026-06-13 23:52:12.202[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 23:55:02.850[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s02.mp4 (4427050 bytes)
+2026-06-13 23:55:02.852[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s02
+2026-06-13 23:55:02.852[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s19
+2026-06-13 23:55:02.853[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s19', 'prompt': 'An elderly musician sitting on a beach chair playing guitar at sunrise, peaceful expression, lifetime of music, warm golden light', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6867406, 'task_id': 'dielv_s19'}
+2026-06-13 23:55:02.854[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 23:57:53.813[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s19.mp4 (2896789 bytes)
+2026-06-13 23:57:53.815[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s19
+2026-06-13 23:57:53.815[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s15
+2026-06-13 23:57:53.816[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s15', 'prompt': 'A crowd of people singing together at an outdoor concert, everyone swaying to the same melody, unity in music, golden hour', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.685966, 'task_id': 'dielv_s15'}
+2026-06-13 23:57:53.817[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 23:58:06.759[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 23:58:07.137[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-14 00:00:45.239[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s15.mp4 (5922847 bytes)
+2026-06-14 00:00:45.241[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s15
+2026-06-14 00:00:45.241[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s11
+2026-06-14 00:00:45.242[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s11', 'prompt': 'The same musician sitting quietly by a window with an acoustic guitar, simple and peaceful, natural daylight, returning to roots', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6851797, 'task_id': 'dielv_s11'}
+2026-06-14 00:00:45.243[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:03:07.238[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:03:36.493[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s11.mp4 (2563551 bytes)
+2026-06-14 00:03:36.494[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s11
+2026-06-14 00:03:36.495[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s07
+2026-06-14 00:03:36.495[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s07', 'prompt': 'Musical notes and sound waves visualized as colorful light trails flowing through a concert hall, abstract artistic visualization', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6843948, 'task_id': 'dielv_s07'}
+2026-06-14 00:03:36.495[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:06:27.132[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s07.mp4 (6819770 bytes)
+2026-06-14 00:06:27.134[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s07
+2026-06-14 00:06:27.135[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s03
+2026-06-14 00:06:27.136[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s03', 'prompt': 'A teenage boy learning to play acoustic guitar on a wooden porch, warm indoor lighting, focused expression, coming of age', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6832242, 'finished_at': 1781366102.4238803, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s03', 'status': 'completed', 'video_url': '/idfile?path=dielv_s03.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s03.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 4230230, 'prompt': 'A teenage boy learning to play acoustic guitar on a wooden porch, warm indoor lighting, focused expr', 'seed': 56748582}, 'task_id': 'dielv_s03', 'started_at': 1781365932.2021058}
+2026-06-14 00:06:27.137[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+
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+2026-06-14 00:09:16.688[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s03.mp4 (3872680 bytes)
+2026-06-14 00:09:16.690[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s03
+2026-06-14 00:09:16.691[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s22
+2026-06-14 00:09:16.692[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s22', 'prompt': 'Final shot: sunset beach with guitar leaning against driftwood, waves gently washing, musical legacy, peaceful ending, warm tones fading', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6873186, 'finished_at': 1781366271.13903, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s22', 'status': 'completed', 'video_url': '/idfile?path=dielv_s22.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s22.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 4991745, 'prompt': 'Final shot: sunset beach with guitar leaning against driftwood, waves gently washing, musical legacy', 'seed': 1789236950}, 'task_id': 'dielv_s22', 'started_at': 1781366101.049733}
+2026-06-14 00:09:16.693[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:12:08.637[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s22.mp4 (4641915 bytes)
+2026-06-14 00:12:08.639[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s22
+2026-06-14 00:12:08.639[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s18
+2026-06-14 00:12:08.640[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s18', 'prompt': 'A lighthouse beam sweeping across dark ocean waters, rhythmic rotation, beacon in the night, metaphor for persistence', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.686545, 'finished_at': 1781366442.3037517, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s18', 'status': 'completed', 'video_url': '/idfile?path=dielv_s18.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s18.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 3594139, 'prompt': 'A lighthouse beam sweeping across dark ocean waters, rhythmic rotation, beacon in the night, metapho', 'seed': 1789236950}, 'task_id': 'dielv_s18', 'started_at': 1781366271.1421335}
+2026-06-14 00:12:08.640[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:14:58.394[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s18.mp4 (3465578 bytes)
+2026-06-14 00:14:58.396[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s18
+2026-06-14 00:14:58.397[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s14
+2026-06-14 00:14:58.397[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s14', 'prompt': 'Close-up of hands writing music notes on paper, pen moving steadily, warm desk lamp, creative flow, vintage paper texture', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6857574, 'finished_at': 1781366611.495634, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s14', 'status': 'completed', 'video_url': '/idfile?path=dielv_s14.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s14.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 3088185, 'prompt': 'Close-up of hands writing music notes on paper, pen moving steadily, warm desk lamp, creative flow, ', 'seed': 56748582}, 'task_id': 'dielv_s14', 'started_at': 1781366441.2586496}
+2026-06-14 00:14:58.398[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:17:49.603[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s14.mp4 (2095876 bytes)
+2026-06-14 00:17:49.605[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s14
+2026-06-14 00:17:49.605[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s10
+2026-06-14 00:17:49.606[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s10', 'prompt': 'A modern music studio with synthesizers and screens, a musician experimenting with new sounds, blue LED lighting, creative exploration', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.684984, 'finished_at': 1781366782.0907538, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s10', 'status': 'completed', 'video_url': '/idfile?path=dielv_s10.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s10.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 5248297, 'prompt': 'A modern music studio with synthesizers and screens, a musician experimenting with new sounds, blue ', 'seed': 2087212057}, 'task_id': 'dielv_s10', 'started_at': 1781366611.4962368}
+2026-06-14 00:17:49.607[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:18:07.418[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-14 00:20:39.615[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s10.mp4 (4428235 bytes)
+2026-06-14 00:20:39.617[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s10
+2026-06-14 00:20:39.617[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s06
+2026-06-14 00:20:39.619[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s06', 'prompt': 'Close-up of guitar strings being played, fingers moving gracefully, warm stage lighting, musical passion, shallow depth of field', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6841996, 'finished_at': 1781366948.976176, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s06', 'status': 'completed', 'video_url': '/idfile?path=dielv_s06.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s06.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 5484613, 'prompt': 'Close-up of guitar strings being played, fingers moving gracefully, warm stage lighting, musical pas', 'seed': 56748582}, 'task_id': 'dielv_s06', 'started_at': 1781366779.728964}
+2026-06-14 00:20:39.619[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:23:07.519[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:23:31.712[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s06.mp4 (4123872 bytes)
+2026-06-14 00:23:31.714[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s06
+2026-06-14 00:23:31.715[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s02
+2026-06-14 00:23:31.716[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s02', 'prompt': 'An old tree on a hilltop under moonlight, cicadas singing in the night, peaceful rural summer evening, soft blue tones', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6830482, 'finished_at': 1781367118.2063048, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s02', 'status': 'completed', 'video_url': '/idfile?path=dielv_s02.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s02.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 3780188, 'prompt': 'An old tree on a hilltop under moonlight, cicadas singing in the night, peaceful rural summer evenin', 'seed': 56748582}, 'task_id': 'dielv_s02', 'started_at': 1781366948.9798791}
+2026-06-14 00:23:31.716[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:26:22.334[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s02.mp4 (4427050 bytes)
+2026-06-14 00:26:22.335[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s02
+2026-06-14 00:26:22.336[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s21
+2026-06-14 00:26:22.337[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s21', 'prompt': 'Ocean waves forming perfect spiraling patterns when viewed from above, nature mathematical beauty, aerial drone shot, blue green water', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6871283, 'finished_at': 1781367286.370003, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s21', 'status': 'completed', 'video_url': '/idfile?path=dielv_s21.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s21.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 11259881, 'prompt': 'Ocean waves forming perfect spiraling patterns when viewed from above, nature mathematical beauty, a', 'seed': 56748582}, 'task_id': 'dielv_s21', 'started_at': 1781367118.2091925}
+2026-06-14 00:26:22.337[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+
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+2026-06-14 00:29:13.274[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s21.mp4 (8247910 bytes)
+2026-06-14 00:29:13.276[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s21
+2026-06-14 00:29:13.276[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s17
+2026-06-14 00:29:13.277[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s17', 'prompt': 'Wind blowing through tall grass and trees on a coastal cliff, clouds moving across the sky, nature symphony, epic wide shot', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6863546, 'finished_at': 1781367456.6436777, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s17', 'status': 'completed', 'video_url': '/idfile?path=dielv_s17.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s17.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 9814141, 'prompt': 'Wind blowing through tall grass and trees on a coastal cliff, clouds moving across the sky, nature s', 'seed': 56748582}, 'task_id': 'dielv_s17', 'started_at': 1781367286.3727841}
+2026-06-14 00:29:13.277[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:32:03.642[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s17.mp4 (6598791 bytes)
+2026-06-14 00:32:03.644[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s17
+2026-06-14 00:32:03.644[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s13
+2026-06-14 00:32:03.645[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s13', 'prompt': 'A middle-aged musician performing in a park, surrounded by trees, children listening, warm afternoon sunlight, simple joy', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6855578, 'finished_at': 1781367625.349164, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s13', 'status': 'completed', 'video_url': '/idfile?path=dielv_s13.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s13.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 11200309, 'prompt': 'A middle-aged musician performing in a park, surrounded by trees, children listening, warm afternoon', 'seed': 56748582}, 'task_id': 'dielv_s13', 'started_at': 1781367456.6466372}
+2026-06-14 00:32:03.645[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:34:54.803[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s13.mp4 (7526481 bytes)
+2026-06-14 00:34:54.804[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s13
+2026-06-14 00:34:54.805[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s09
+2026-06-14 00:34:54.806[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s09', 'prompt': 'An adult musician walking through a busy city street with neon signs, searching for inspiration, reflective mood, night scene', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6847923, 'finished_at': 1781367793.5745637, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s09', 'status': 'completed', 'video_url': '/idfile?path=dielv_s09.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s09.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 6427469, 'prompt': 'An adult musician walking through a busy city street with neon signs, searching for inspiration, ref', 'seed': 56748582}, 'task_id': 'dielv_s09', 'started_at': 1781367625.3527362}
+2026-06-14 00:34:54.807[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:37:45.592[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s09.mp4 (5499070 bytes)
+2026-06-14 00:37:45.594[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s09
+2026-06-14 00:37:45.594[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s05
+2026-06-14 00:37:45.595[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s05', 'prompt': 'A cozy bar with warm lighting, a young singer performing on a small stage, audience clapping along, intimate concert atmosphere', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6840105, 'finished_at': 1781367961.4473364, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s05', 'status': 'completed', 'video_url': '/idfile?path=dielv_s05.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s05.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 5437821, 'prompt': 'A cozy bar with warm lighting, a young singer performing on a small stage, audience clapping along, ', 'seed': 56748582}, 'task_id': 'dielv_s05', 'started_at': 1781367793.5782297}
+2026-06-14 00:37:45.596[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:40:36.791[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s05.mp4 (5180729 bytes)
+2026-06-14 00:40:36.793[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s05
+2026-06-14 00:40:36.794[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s01
+2026-06-14 00:40:36.795[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s01', 'prompt': 'Close-up of ocean waves crashing on shore, seashells scattered on wet sand, summer afternoon, peaceful atmosphere', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6828666, 'finished_at': 1781368130.4544375, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s01', 'status': 'completed', 'video_url': '/idfile?path=dielv_s01.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s01.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 9118882, 'prompt': 'Close-up of ocean waves crashing on shore, seashells scattered on wet sand, summer afternoon, peacef', 'seed': 56748582}, 'task_id': 'dielv_s01', 'started_at': 1781367961.4508884}
+2026-06-14 00:40:36.796[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:43:07.811[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:43:27.060[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s01.mp4 (5601582 bytes)
+2026-06-14 00:43:27.061[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s01
+2026-06-14 00:48:07.815[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:53:07.819[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:58:06.758[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 00:58:07.820[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:03:07.821[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:08:07.825[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:13:07.828[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:18:07.830[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:23:07.830[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:28:07.834[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:33:07.837[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:38:07.838[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:43:07.843[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:48:07.847[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:53:07.849[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:58:06.758[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 01:58:07.849[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:03:07.853[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:08:07.856[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:13:07.858[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:18:07.863[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:23:07.867[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:28:07.869[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:33:07.870[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:38:07.875[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:43:07.879[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:48:07.880[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:53:07.880[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:58:06.759[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 02:58:07.882[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:03:07.884[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:08:07.885[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:13:07.890[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:18:07.893[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:23:07.895[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:28:07.895[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:33:07.899[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:38:07.901[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:43:07.903[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:48:07.908[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:53:07.911[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:58:06.759[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 03:58:07.912[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:03:07.913[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:08:07.917[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:13:07.919[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:18:07.920[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:23:07.925[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:28:07.929[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:33:07.931[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:38:07.932[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:43:07.937[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:48:07.940[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:53:07.942[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:58:06.759[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 04:58:07.943[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:03:07.947[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:08:07.949[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:13:07.950[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:18:07.955[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:23:07.958[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:28:07.960[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:33:07.960[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:38:07.964[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:43:07.967[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:48:07.968[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:53:07.973[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:58:06.759[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 05:58:07.974[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:03:07.976[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:08:07.977[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:13:07.980[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:18:07.983[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:23:07.984[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:28:07.989[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:33:07.993[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:38:07.995[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:43:07.996[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:48:08.001[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:53:08.003[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:58:06.759[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 06:58:08.004[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:03:08.010[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:08:08.014[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:13:08.017[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:18:08.018[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:23:08.023[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:28:08.026[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:33:08.028[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:38:08.028[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:43:08.032[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:48:08.035[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:53:08.036[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:58:06.760[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 07:58:08.038[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:03:08.041[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:08:08.043[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:13:08.044[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:18:08.049[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:23:08.052[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:28:08.053[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:33:08.058[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:38:08.061[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:43:08.063[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:48:08.063[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:53:08.068[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:58:06.760[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 08:58:08.069[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:03:08.071[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:08:08.076[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:13:08.080[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:18:08.081[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:23:08.081[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:28:08.085[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:33:08.088[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:38:08.088[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:43:08.089[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:48:08.093[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:53:08.096[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:58:06.760[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 09:58:08.097[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:03:08.102[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:08:08.105[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:13:08.107[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:18:08.107[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:23:08.110[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:28:08.112[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:33:08.113[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:38:08.118[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:43:08.121[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:48:08.122[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:53:08.123[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:58:06.760[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 10:58:08.125[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:03:08.128[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:08:08.129[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:13:08.134[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:18:08.137[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:23:08.139[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:28:08.140[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:33:08.144[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:38:08.146[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:43:08.147[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:48:08.151[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:53:08.154[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:58:06.761[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 11:58:08.155[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:03:08.155[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:08:08.159[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:13:08.161[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:18:08.162[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:23:08.167[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:28:08.170[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:33:08.172[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:38:08.173[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:43:08.176[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:48:08.178[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:53:08.179[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:58:06.760[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 12:58:08.181[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:03:08.184[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:08:08.186[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:13:08.185[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:18:08.186[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:23:08.188[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:28:08.189[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:33:08.194[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:38:08.197[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:43:08.199[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:48:08.199[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:53:08.203[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:58:06.760[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 13:58:08.205[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:03:08.206[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:08:08.211[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:13:08.214[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:18:08.216[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:23:08.216[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:28:08.220[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:33:08.223[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:38:08.223[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:43:08.227[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:48:08.230[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:53:08.232[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:58:06.760[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 14:58:08.231[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:03:08.235[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:08:08.238[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:13:08.239[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:18:08.244[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:23:08.248[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:28:08.250[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:33:08.250[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:38:08.254[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:43:08.257[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:48:08.258[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:53:08.263[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:58:06.760[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 15:58:08.263[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:03:08.265[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:08:08.265[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:13:08.269[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:18:08.272[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:23:08.273[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
diff --git a/nohup_gpu3.out b/nohup_gpu3.out
new file mode 100644
index 0000000..ed59482
--- /dev/null
+++ b/nohup_gpu3.out
@@ -0,0 +1,1880 @@
+2026-06-13 19:58:07.678[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/configuredServer.py:40]client_max_size=1024000000
+reuse_port= True
+<bound method LongTasks.run of <__main__.Wan22Tasks object at 0x7fd10e1e6e00>> is a coroutine
+2026-06-13 19:58:07.680[webapp][debug][/data/ymq/wan22-service/ah.py:32]longtasks worker started, GPU: 3
+======== Running on http://0.0.0.0:8079 ========
+(Press CTRL+C to quit)
+2026-06-13 19:58:07.781[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 19:58:07.782[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:131][worker 0] start
+2026-06-13 20:02:40.997[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=0g-viJnViW4v5AVaqQFCZ
+2026-06-13 20:02:40.998[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': '949ddbbf0fa5', 'prompt': 'Concurrent test task 3 - mountain landscape with flowing river', 'image': None, 'size': '832*480', 'frame_num': 33, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781352160.9958723, 'task_id': '0g-viJnViW4v5AVaqQFCZ'}
+2026-06-13 20:02:40.998[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 20:02:41.002[webapp][debug][/data/ymq/wan22-service/workers/generate.py:29]Loading Wan22 engine (first call, may take 30-60s)...
+
Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]
Loading checkpoint shards:  33%|███▎      | 1/3 [00:00<00:00,  4.35it/s]
Loading checkpoint shards: 100%|██████████| 3/3 [00:00<00:00, 11.59it/s]
+2026-06-13 20:03:58.617[webapp][debug][/data/ymq/wan22-service/workers/generate.py:49]Wan22 engine loaded, GPU: 3
+
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+
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+/data/ymq/wan22-service/repo/wan/modules/vae2_2.py:1042: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast(dtype=self.dtype):
+2026-06-13 20:05:06.011[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/949ddbbf0fa5.mp4 (2482335 bytes)
+2026-06-13 20:05:06.013[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished 0g-viJnViW4v5AVaqQFCZ
+2026-06-13 20:09:25.432[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:14:01.008[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=Vp_8yhI9S23n7aDAIjfvw
+2026-06-13 20:14:01.009[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'scene_01', 'prompt': "An absurdly over-engineered quality control center where every musical note is inspected by robotic arms with magnifying glasses. A giant assembly line conveyor belt carries glowing musical notes through 700 scanning stations. Holographic stamps reading 'APPROVED' flash repeatedly. Workers in hazmat suits carefully examine each syllable under microscopes. The camera tracks sideways along the infinite assembly line. Color palette: sterile white mixed with neon green verification lights and red rejection warnings. Satirical industrial aesthetic with exaggerated bureaucratic imagery.", 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781352841.0077553, 'task_id': 'Vp_8yhI9S23n7aDAIjfvw'}
+2026-06-13 20:14:01.009[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 20:14:25.437[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-13 20:16:55.800[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/scene_01.mp4 (6944068 bytes)
+2026-06-13 20:16:55.805[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished Vp_8yhI9S23n7aDAIjfvw
+2026-06-13 20:16:55.805[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=xYgL-foX5FzQXpHbqTk-_
+2026-06-13 20:16:55.806[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'scene_06', 'prompt': "A propaganda ministry control room where officials manipulate reality displays. Giant screens show statistics being 'optimized' - bars growing impossibly tall, pie charts distorting. Workers adjust 'narrative dials' on a massive control panel labeled 'PROMOTION CALIBRATION'. A conveyor belt feeds revised press releases. When data looks insufficient, a button labeled 'UPGRADE NARRATIVE' is pressed and everything glows brighter. The camera dollies through layers of increasingly absurd propaganda machinery. Deep red and gold authoritarian color palette with glitching digital artifacts. Totalitarian kitsch meets cyberpunk.", 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781352841.0551424, 'task_id': 'xYgL-foX5FzQXpHbqTk-_'}
+2026-06-13 20:16:55.806[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+2026-06-13 20:19:25.440[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:19:51.192[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/scene_06.mp4 (10036698 bytes)
+2026-06-13 20:19:51.194[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished xYgL-foX5FzQXpHbqTk-_
+2026-06-13 20:20:44.344[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=y2XIm99stQu4hazA3N9Sr
+2026-06-13 20:20:44.344[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s02', 'prompt': 'A golden stamp reading TOP SECRET slams onto a futuristic document. Camera pulls back to reveal an enormous vault filled with classified projects. Volumetric fog, dramatic rim lighting.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.3430252, 'task_id': 'y2XIm99stQu4hazA3N9Sr'}
+2026-06-13 20:20:44.345[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:23:37.483[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s02.mp4 (5902251 bytes)
+2026-06-13 20:23:37.483[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished y2XIm99stQu4hazA3N9Sr
+2026-06-13 20:23:37.484[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=NS7Me0mSueAZeeuA-ORsQ
+2026-06-13 20:23:37.484[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s27', 'prompt': 'People on streets worldwide staring at screens with glazed hypnotized eyes while a giant holographic face smiles benevolently above the city. Purple neon and cosmic gold palette.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.544177, 'task_id': 'NS7Me0mSueAZeeuA-ORsQ'}
+2026-06-13 20:23:37.485[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:26:27.188[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s27.mp4 (9818124 bytes)
+2026-06-13 20:26:27.190[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished NS7Me0mSueAZeeuA-ORsQ
+2026-06-13 20:26:27.190[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s27
+2026-06-13 20:26:27.191[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s27', 'prompt': 'People on streets worldwide staring at screens with glazed hypnotized eyes while a giant holographic face smiles benevolently above the city. Purple neon and cosmic gold palette.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6094542, 'task_id': 'mtv_s27'}
+2026-06-13 20:26:27.191[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:29:16.802[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s27.mp4 (9818124 bytes)
+2026-06-13 20:29:16.803[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s27
+2026-06-13 20:29:16.804[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s23
+2026-06-13 20:29:16.804[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s23', 'prompt': 'A massive red button labeled upgrade narrative being pressed. Everything in the room glows brighter. Conveyor belt feeds revised press releases. Deep red and gold authoritarian palette.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6086533, 'task_id': 'mtv_s23'}
+2026-06-13 20:29:16.805[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 20:29:25.450[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-13 20:32:07.013[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s23.mp4 (6108860 bytes)
+2026-06-13 20:32:07.014[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s23
+2026-06-13 20:32:07.015[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s19
+2026-06-13 20:32:07.015[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s19', 'prompt': 'Historical music textbooks being shredded by machines and replaced with shiny new editions bearing the song title. Institutional green and cyberpunk purple tones.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6078622, 'task_id': 'mtv_s19'}
+2026-06-13 20:32:07.016[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:34:25.458[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:34:55.164[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s19.mp4 (6753208 bytes)
+2026-06-13 20:34:55.167[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s19
+2026-06-13 20:34:55.167[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s15
+2026-06-13 20:34:55.168[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s15', 'prompt': 'Cyberpunk lawyers in glowing suits deploy from pods, marching in formation with briefcases emitting laser beams. Authoritarian corporate aesthetic, dark satire.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.607049, 'task_id': 'mtv_s15'}
+2026-06-13 20:34:55.168[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:37:43.987[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s15.mp4 (5756094 bytes)
+2026-06-13 20:37:43.988[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s15
+2026-06-13 20:37:43.989[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s12
+2026-06-13 20:37:43.997[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s12', 'prompt': 'News anchors with shocked expressions reading teleprompters. Screens behind them showing charts going parabolic. Media frenzy, information overload, neon orange and red alert colors.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6064453, 'task_id': 'mtv_s12'}
+2026-06-13 20:37:43.998[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+
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+2026-06-13 20:40:33.557[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s12.mp4 (5715933 bytes)
+2026-06-13 20:40:33.559[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s12
+2026-06-13 20:40:33.559[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s08
+2026-06-13 20:40:33.560[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s08', 'prompt': 'A golden museum entrance where song titles are carved into stone tablets. Visitors bow reverently. Cyberpunk cityscape visible through glass ceiling, bathed in electric pink and gold.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6056054, 'task_id': 'mtv_s08'}
+2026-06-13 20:40:33.560[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:43:23.842[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s08.mp4 (4390558 bytes)
+2026-06-13 20:43:23.844[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s08
+2026-06-13 20:43:23.844[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s04
+2026-06-13 20:43:23.845[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s04', 'prompt': 'Workers in futuristic hazmat suits examining sound waves under holographic microscopes. Giant APPROVED stamps flash repeatedly. Exaggerated bureaucratic quality control center, satirical.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6048214, 'task_id': 'mtv_s04'}
+2026-06-13 20:43:23.845[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:46:13.056[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s04.mp4 (7081656 bytes)
+2026-06-13 20:46:13.058[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s04
+2026-06-13 20:46:13.058[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s00
+2026-06-13 20:46:13.059[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s00', 'prompt': 'A lone figure in a dark underground cyberpunk lab, typing on a holographic keyboard. Rows of server racks pulse with neon blue light behind them. Camera slowly dollies forward. Moody, mysterious atmosphere.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6039467, 'task_id': 'mtv_s00'}
+2026-06-13 20:46:13.060[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:49:00.518[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s00.mp4 (7694351 bytes)
+2026-06-13 20:49:00.519[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s00
+2026-06-13 20:49:00.520[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=XiTHUaiO3UfrzNhwBJEI7
+2026-06-13 20:49:00.520[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s23', 'prompt': 'A massive red button labeled upgrade narrative being pressed. Everything in the room glows brighter. Conveyor belt feeds revised press releases. Deep red and gold authoritarian palette.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.509087, 'task_id': 'XiTHUaiO3UfrzNhwBJEI7'}
+2026-06-13 20:49:00.521[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:51:51.147[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s23.mp4 (6108860 bytes)
+2026-06-13 20:51:51.149[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished XiTHUaiO3UfrzNhwBJEI7
+2026-06-13 20:51:51.150[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=ylPWc4qq9WkOYRNTKmPPB
+2026-06-13 20:51:51.209[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s19', 'prompt': 'Historical music textbooks being shredded by machines and replaced with shiny new editions bearing the song title. Institutional green and cyberpunk purple tones.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.4805446, 'task_id': 'ylPWc4qq9WkOYRNTKmPPB'}
+2026-06-13 20:51:51.209[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:54:25.586[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:54:38.381[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s19.mp4 (6753208 bytes)
+2026-06-13 20:54:38.383[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished ylPWc4qq9WkOYRNTKmPPB
+2026-06-13 20:54:38.383[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=DJ9kZnrHO8J4EKlyEzf_5
+2026-06-13 20:54:38.384[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s15', 'prompt': 'Cyberpunk lawyers in glowing suits deploy from pods, marching in formation with briefcases emitting laser beams. Authoritarian corporate aesthetic, dark satire.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.4481158, 'task_id': 'DJ9kZnrHO8J4EKlyEzf_5'}
+2026-06-13 20:54:38.385[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:57:26.611[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s15.mp4 (5756094 bytes)
+2026-06-13 20:57:26.613[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished DJ9kZnrHO8J4EKlyEzf_5
+2026-06-13 20:57:26.614[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=EJte6TJv-aViImIvVL1FG
+2026-06-13 20:57:26.615[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s11', 'prompt': 'Split screens showing social media trending topics exploding with fire emojis and comment floods. A panel of experts in oversized glasses pointing at whiteboards with complex formulas.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.4151943, 'task_id': 'EJte6TJv-aViImIvVL1FG'}
+2026-06-13 20:57:26.615[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 21:00:16.053[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s11.mp4 (3725835 bytes)
+2026-06-13 21:00:16.055[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished EJte6TJv-aViImIvVL1FG
+2026-06-13 21:00:16.055[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=IAllnEvLJg2sATsG_Nqz-
+2026-06-13 21:00:16.056[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s07', 'prompt': 'Competing artists entries crumble to dust on a massive stage. A holographic crown descends from the ceiling onto an empty throne. Camera sweeps upward revealing endless hall of trophies.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.3789103, 'task_id': 'IAllnEvLJg2sATsG_Nqz-'}
+2026-06-13 21:00:16.057[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 21:03:04.926[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s07.mp4 (11224785 bytes)
+2026-06-13 21:03:04.928[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished IAllnEvLJg2sATsG_Nqz-
+2026-06-13 21:04:25.669[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:09:25.672[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:14:25.673[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:19:25.678[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:24:25.681[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:29:25.683[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:34:25.683[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:39:25.687[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:44:25.690[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:49:25.692[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:54:25.697[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:58:07.783[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 21:59:25.701[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:04:25.702[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:09:25.703[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:14:25.708[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:19:25.711[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:24:25.713[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:29:25.714[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:34:25.718[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:39:25.720[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:44:25.720[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:49:25.725[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:54:25.729[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:58:07.784[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 22:59:25.731[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:04:25.731[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:09:25.735[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:14:25.737[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:19:25.738[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:24:25.743[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:29:25.745[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:34:25.746[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:39:25.747[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:44:25.751[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:49:25.754[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:52:12.200[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s03
+2026-06-13 23:52:12.202[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s03', 'prompt': 'A teenage boy learning to play acoustic guitar on a wooden porch, warm indoor lighting, focused expression, coming of age', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781365932.2001543, 'task_id': 'dielv_s03'}
+2026-06-13 23:52:12.202[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+
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+2026-06-13 23:55:02.423[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s03.mp4 (4230230 bytes)
+2026-06-13 23:55:02.425[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s03
+2026-06-13 23:55:02.425[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s21
+2026-06-13 23:55:02.426[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s21', 'prompt': 'Ocean waves forming perfect spiraling patterns when viewed from above, nature mathematical beauty, aerial drone shot, blue green water', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6871283, 'task_id': 'dielv_s21'}
+2026-06-13 23:55:02.426[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 23:57:52.462[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s21.mp4 (11259881 bytes)
+2026-06-13 23:57:52.464[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s21
+2026-06-13 23:57:52.464[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s17
+2026-06-13 23:57:52.465[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s17', 'prompt': 'Wind blowing through tall grass and trees on a coastal cliff, clouds moving across the sky, nature symphony, epic wide shot', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6863546, 'task_id': 'dielv_s17'}
+2026-06-13 23:57:52.465[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 23:58:07.785[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
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+2026-06-14 00:00:41.254[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s17.mp4 (9814141 bytes)
+2026-06-14 00:00:41.257[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s17
+2026-06-14 00:00:41.257[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s14
+2026-06-14 00:00:41.258[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s14', 'prompt': 'Close-up of hands writing music notes on paper, pen moving steadily, warm desk lamp, creative flow, vintage paper texture', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6857574, 'task_id': 'dielv_s14'}
+2026-06-14 00:00:41.259[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:03:31.495[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s14.mp4 (3088185 bytes)
+2026-06-14 00:03:31.497[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s14
+2026-06-14 00:03:31.497[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s09
+2026-06-14 00:03:31.498[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s09', 'prompt': 'An adult musician walking through a busy city street with neon signs, searching for inspiration, reflective mood, night scene', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6847923, 'task_id': 'dielv_s09'}
+2026-06-14 00:03:31.498[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:06:19.726[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s09.mp4 (6427469 bytes)
+2026-06-14 00:06:19.727[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s09
+2026-06-14 00:06:19.728[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s06
+2026-06-14 00:06:19.728[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s06', 'prompt': 'Close-up of guitar strings being played, fingers moving gracefully, warm stage lighting, musical passion, shallow depth of field', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6841996, 'task_id': 'dielv_s06'}
+2026-06-14 00:06:19.729[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:09:08.976[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s06.mp4 (5484613 bytes)
+2026-06-14 00:09:08.977[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s06
+2026-06-14 00:09:08.978[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s02
+2026-06-14 00:09:08.979[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s02', 'prompt': 'An old tree on a hilltop under moonlight, cicadas singing in the night, peaceful rural summer evening, soft blue tones', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6830482, 'finished_at': 1781366102.8508167, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s02', 'status': 'completed', 'video_url': '/idfile?path=dielv_s02.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s02.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 4427050, 'prompt': 'An old tree on a hilltop under moonlight, cicadas singing in the night, peaceful rural summer evenin', 'seed': 1574215179}, 'task_id': 'dielv_s02', 'started_at': 1781365932.201593}
+2026-06-14 00:09:08.980[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:09:25.999[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-14 00:11:58.206[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s02.mp4 (3780188 bytes)
+2026-06-14 00:11:58.207[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s02
+2026-06-14 00:11:58.208[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s21
+2026-06-14 00:11:58.209[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s21', 'prompt': 'Ocean waves forming perfect spiraling patterns when viewed from above, nature mathematical beauty, aerial drone shot, blue green water', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6871283, 'finished_at': 1781366272.4627793, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s21', 'status': 'completed', 'video_url': '/idfile?path=dielv_s21.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s21.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 11259881, 'prompt': 'Ocean waves forming perfect spiraling patterns when viewed from above, nature mathematical beauty, a', 'seed': 56748582}, 'task_id': 'dielv_s21', 'started_at': 1781366102.4260478}
+2026-06-14 00:11:58.209[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:14:26.100[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:14:46.369[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s21.mp4 (11259881 bytes)
+2026-06-14 00:14:46.371[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s21
+2026-06-14 00:14:46.371[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s17
+2026-06-14 00:14:46.372[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s17', 'prompt': 'Wind blowing through tall grass and trees on a coastal cliff, clouds moving across the sky, nature symphony, epic wide shot', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6863546, 'finished_at': 1781366441.2550292, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s17', 'status': 'completed', 'video_url': '/idfile?path=dielv_s17.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s17.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 9814141, 'prompt': 'Wind blowing through tall grass and trees on a coastal cliff, clouds moving across the sky, nature s', 'seed': 56748582}, 'task_id': 'dielv_s17', 'started_at': 1781366272.465407}
+2026-06-14 00:14:46.373[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:17:36.643[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s17.mp4 (9814141 bytes)
+2026-06-14 00:17:36.645[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s17
+2026-06-14 00:17:36.645[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s13
+2026-06-14 00:17:36.646[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s13', 'prompt': 'A middle-aged musician performing in a park, surrounded by trees, children listening, warm afternoon sunlight, simple joy', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6855578, 'finished_at': 1781366612.7144716, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s13', 'status': 'completed', 'video_url': '/idfile?path=dielv_s13.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s13.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 8107530, 'prompt': 'A middle-aged musician performing in a park, surrounded by trees, children listening, warm afternoon', 'seed': 1789236950}, 'task_id': 'dielv_s13', 'started_at': 1781366442.3059115}
+2026-06-14 00:17:36.647[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+
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+2026-06-14 00:20:25.349[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s13.mp4 (11200309 bytes)
+2026-06-14 00:20:25.351[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s13
+2026-06-14 00:20:25.351[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s09
+2026-06-14 00:20:25.352[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s09', 'prompt': 'An adult musician walking through a busy city street with neon signs, searching for inspiration, reflective mood, night scene', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6847923, 'finished_at': 1781366779.7262733, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s09', 'status': 'completed', 'video_url': '/idfile?path=dielv_s09.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s09.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 6427469, 'prompt': 'An adult musician walking through a busy city street with neon signs, searching for inspiration, ref', 'seed': 56748582}, 'task_id': 'dielv_s09', 'started_at': 1781366611.4982686}
+2026-06-14 00:20:25.353[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:23:13.574[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s09.mp4 (6427469 bytes)
+2026-06-14 00:23:13.576[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s09
+2026-06-14 00:23:13.577[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s05
+2026-06-14 00:23:13.578[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s05', 'prompt': 'A cozy bar with warm lighting, a young singer performing on a small stage, audience clapping along, intimate concert atmosphere', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6840105, 'finished_at': 1781366953.6976562, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s05', 'status': 'completed', 'video_url': '/idfile?path=dielv_s05.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s05.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 5507655, 'prompt': 'A cozy bar with warm lighting, a young singer performing on a small stage, audience clapping along, ', 'seed': 2087212057}, 'task_id': 'dielv_s05', 'started_at': 1781366782.0936668}
+2026-06-14 00:23:13.578[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:26:01.447[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s05.mp4 (5437821 bytes)
+2026-06-14 00:26:01.448[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s05
+2026-06-14 00:26:01.449[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s01
+2026-06-14 00:26:01.450[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s01', 'prompt': 'Close-up of ocean waves crashing on shore, seashells scattered on wet sand, summer afternoon, peaceful atmosphere', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6828666, 'finished_at': 1781367123.449019, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s01', 'status': 'completed', 'video_url': '/idfile?path=dielv_s01.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s01.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 6060675, 'prompt': 'Close-up of ocean waves crashing on shore, seashells scattered on wet sand, summer afternoon, peacef', 'seed': 1789236950}, 'task_id': 'dielv_s01', 'started_at': 1781366952.7524881}
+2026-06-14 00:26:01.451[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:28:50.454[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s01.mp4 (9118882 bytes)
+2026-06-14 00:28:50.456[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s01
+2026-06-14 00:28:50.457[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s20
+2026-06-14 00:28:50.458[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s20', 'prompt': 'A young child sitting next to the elderly musician on the beach, learning to play, generational passing of music, heartwarming', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6869352, 'finished_at': 1781367293.1864796, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s20', 'status': 'completed', 'video_url': '/idfile?path=dielv_s20.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s20.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 2668228, 'prompt': 'A young child sitting next to the elderly musician on the beach, learning to play, generational pass', 'seed': 1789236950}, 'task_id': 'dielv_s20', 'started_at': 1781367123.4519937}
+2026-06-14 00:28:50.458[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:31:37.792[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s20.mp4 (2948397 bytes)
+2026-06-14 00:31:37.794[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s20
+2026-06-14 00:31:37.794[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s16
+2026-06-14 00:31:37.795[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s16', 'prompt': 'Moonlight reflecting on calm ocean surface, gentle ripples creating patterns, serene night scene, silver blue tones, meditative', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6861644, 'finished_at': 1781367464.3984025, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s16', 'status': 'completed', 'video_url': '/idfile?path=dielv_s16.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s16.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 4597770, 'prompt': 'Moonlight reflecting on calm ocean surface, gentle ripples creating patterns, serene night scene, si', 'seed': 1789236950}, 'task_id': 'dielv_s16', 'started_at': 1781367293.18933}
+2026-06-14 00:31:37.796[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:34:24.115[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s16.mp4 (4959999 bytes)
+2026-06-14 00:34:24.116[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s16
+2026-06-14 00:34:24.116[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s12
+2026-06-14 00:34:24.117[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s12', 'prompt': 'Waves continuously hitting rocky shores, time-lapse style showing the repetitive rhythm of nature, powerful yet calming', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6853685, 'finished_at': 1781367634.8353448, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s12', 'status': 'completed', 'video_url': '/idfile?path=dielv_s12.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s12.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 7052668, 'prompt': 'Waves continuously hitting rocky shores, time-lapse style showing the repetitive rhythm of nature, p', 'seed': 1789236950}, 'task_id': 'dielv_s12', 'started_at': 1781367464.401356}
+2026-06-14 00:34:24.118[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:34:26.263[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-14 00:37:10.323[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s12.mp4 (7594820 bytes)
+2026-06-14 00:37:10.325[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s12
+2026-06-14 00:37:10.326[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s08
+2026-06-14 00:37:10.327[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s08', 'prompt': 'Beautiful sunset over the ocean, silhouette of a person standing on a pier, contemplative mood, orange and purple sky', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6845872, 'finished_at': 1781367803.4878805, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s08', 'status': 'completed', 'video_url': '/idfile?path=dielv_s08.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s08.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 1374010, 'prompt': 'Beautiful sunset over the ocean, silhouette of a person standing on a pier, contemplative mood, oran', 'seed': 2087212057}, 'task_id': 'dielv_s08', 'started_at': 1781367633.7020593}
+2026-06-14 00:37:10.327[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:39:26.362[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:39:58.115[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s08.mp4 (1730393 bytes)
+2026-06-14 00:39:58.118[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s08
+2026-06-14 00:39:58.118[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s04
+2026-06-14 00:39:58.119[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s04', 'prompt': 'A young musician performing on a small street stage, strumming guitar, people walking by, urban evening golden hour', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6836863, 'finished_at': 1781367974.7463224, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s04', 'status': 'completed', 'video_url': '/idfile?path=dielv_s04.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s04.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 9898755, 'prompt': 'A young musician performing on a small street stage, strumming guitar, people walking by, urban even', 'seed': 2087212057}, 'task_id': 'dielv_s04', 'started_at': 1781367803.490727}
+2026-06-14 00:39:58.120[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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100%|██████████| 30/30 [01:54<00:00,  3.83s/it]
+2026-06-14 00:42:47.797[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s04.mp4 (9618652 bytes)
+2026-06-14 00:42:47.799[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s04
+2026-06-14 00:42:47.799[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s22
+2026-06-14 00:42:47.800[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s22', 'prompt': 'Final shot: sunset beach with guitar leaning against driftwood, waves gently washing, musical legacy, peaceful ending, warm tones fading', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8583353, 'task_id': 'dielv_hd_s22'}
+2026-06-14 00:42:47.800[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
  0%|          | 0/30 [00:00<?, ?it/s]
  0%|          | 0/30 [00:00<?, ?it/s]
+2026-06-14 00:43:08.141[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 1.99 GiB. GPU 0 has a total capacity of 23.52 GiB of which 1.69 GiB is free. Including non-PyTorch memory, this process has 21.82 GiB memory in use. Of the allocated memory 21.21 GiB is allocated by PyTorch, and 74.81 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 384, in t2v
+    noise_pred_cond = self.model(
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/data/ymq/wan22-service/repo/wan/modules/model.py", line 490, in forward
+    x = block(x, **kwargs)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/data/ymq/wan22-service/repo/wan/modules/model.py", line 239, in forward
+    e = (self.modulation.unsqueeze(0) + e).chunk(6, dim=2)
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.99 GiB. GPU 0 has a total capacity of 23.52 GiB of which 1.69 GiB is free. Including non-PyTorch memory, this process has 21.82 GiB memory in use. Of the allocated memory 21.21 GiB is allocated by PyTorch, and 74.81 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:08.143[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s22
+2026-06-14 00:43:08.143[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s21
+2026-06-14 00:43:08.144[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s21', 'prompt': 'Ocean waves forming perfect spiraling patterns when viewed from above, nature mathematical beauty, aerial drone shot, blue green water', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8581762, 'task_id': 'dielv_hd_s21'}
+2026-06-14 00:43:08.145[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.041[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.043[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s21
+2026-06-14 00:43:10.043[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s19
+2026-06-14 00:43:10.044[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s19', 'prompt': 'An elderly musician sitting on a beach chair playing guitar at sunrise, peaceful expression, lifetime of music, warm golden light', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8578477, 'task_id': 'dielv_hd_s19'}
+2026-06-14 00:43:10.044[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.055[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.056[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s19
+2026-06-14 00:43:10.056[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s18
+2026-06-14 00:43:10.057[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s18', 'prompt': 'A lighthouse beam sweeping across dark ocean waters, rhythmic rotation, beacon in the night, metaphor for persistence', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8576858, 'task_id': 'dielv_hd_s18'}
+2026-06-14 00:43:10.057[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.067[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.068[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s18
+2026-06-14 00:43:10.068[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s17
+2026-06-14 00:43:10.068[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s17', 'prompt': 'Wind blowing through tall grass and trees on a coastal cliff, clouds moving across the sky, nature symphony, epic wide shot', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.857527, 'task_id': 'dielv_hd_s17'}
+2026-06-14 00:43:10.069[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.080[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.080[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s17
+2026-06-14 00:43:10.081[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s16
+2026-06-14 00:43:10.081[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s16', 'prompt': 'Moonlight reflecting on calm ocean surface, gentle ripples creating patterns, serene night scene, silver blue tones, meditative', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8573673, 'task_id': 'dielv_hd_s16'}
+2026-06-14 00:43:10.082[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.091[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.092[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s16
+2026-06-14 00:43:10.092[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s15
+2026-06-14 00:43:10.093[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s15', 'prompt': 'A crowd of people singing together at an outdoor concert, everyone swaying to the same melody, unity in music, golden hour', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8572009, 'task_id': 'dielv_hd_s15'}
+2026-06-14 00:43:10.093[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.103[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.104[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s15
+2026-06-14 00:43:10.104[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s14
+2026-06-14 00:43:10.105[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s14', 'prompt': 'Close-up of hands writing music notes on paper, pen moving steadily, warm desk lamp, creative flow, vintage paper texture', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8570404, 'task_id': 'dielv_hd_s14'}
+2026-06-14 00:43:10.105[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.116[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.116[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s14
+2026-06-14 00:43:10.117[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s13
+2026-06-14 00:43:10.117[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s13', 'prompt': 'A middle-aged musician performing in a park, surrounded by trees, children listening, warm afternoon sunlight, simple joy', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8568761, 'task_id': 'dielv_hd_s13'}
+2026-06-14 00:43:10.118[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.127[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.128[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s13
+2026-06-14 00:43:10.128[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s12
+2026-06-14 00:43:10.129[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s12', 'prompt': 'Waves continuously hitting rocky shores, time-lapse style showing the repetitive rhythm of nature, powerful yet calming', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8567135, 'task_id': 'dielv_hd_s12'}
+2026-06-14 00:43:10.129[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.139[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.140[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s12
+2026-06-14 00:43:10.140[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s11
+2026-06-14 00:43:10.140[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s11', 'prompt': 'The same musician sitting quietly by a window with an acoustic guitar, simple and peaceful, natural daylight, returning to roots', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8565538, 'task_id': 'dielv_hd_s11'}
+2026-06-14 00:43:10.141[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.151[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.152[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s11
+2026-06-14 00:43:10.153[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s10
+2026-06-14 00:43:10.153[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s10', 'prompt': 'A modern music studio with synthesizers and screens, a musician experimenting with new sounds, blue LED lighting, creative exploration', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8563745, 'task_id': 'dielv_hd_s10'}
+2026-06-14 00:43:10.153[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.163[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.164[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s10
+2026-06-14 00:43:10.164[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s09
+2026-06-14 00:43:10.165[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s09', 'prompt': 'An adult musician walking through a busy city street with neon signs, searching for inspiration, reflective mood, night scene', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8562067, 'task_id': 'dielv_hd_s09'}
+2026-06-14 00:43:10.165[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.175[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.176[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s09
+2026-06-14 00:43:10.176[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s08
+2026-06-14 00:43:10.177[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s08', 'prompt': 'Beautiful sunset over the ocean, silhouette of a person standing on a pier, contemplative mood, orange and purple sky', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8560233, 'task_id': 'dielv_hd_s08'}
+2026-06-14 00:43:10.177[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.187[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.188[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s08
+2026-06-14 00:43:10.188[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s07
+2026-06-14 00:43:10.189[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s07', 'prompt': 'Musical notes and sound waves visualized as colorful light trails flowing through a concert hall, abstract artistic visualization', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.855862, 'task_id': 'dielv_hd_s07'}
+2026-06-14 00:43:10.189[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.199[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.200[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s07
+2026-06-14 00:43:10.200[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s06
+2026-06-14 00:43:10.201[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s06', 'prompt': 'Close-up of guitar strings being played, fingers moving gracefully, warm stage lighting, musical passion, shallow depth of field', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8557, 'task_id': 'dielv_hd_s06'}
+2026-06-14 00:43:10.201[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.211[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.212[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s06
+2026-06-14 00:43:10.212[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s05
+2026-06-14 00:43:10.213[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s05', 'prompt': 'A cozy bar with warm lighting, a young singer performing on a small stage, audience clapping along, intimate concert atmosphere', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8555326, 'task_id': 'dielv_hd_s05'}
+2026-06-14 00:43:10.213[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.223[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.224[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s05
+2026-06-14 00:43:10.224[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s04
+2026-06-14 00:43:10.225[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s04', 'prompt': 'A young musician performing on a small street stage, strumming guitar, people walking by, urban evening golden hour', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.855363, 'task_id': 'dielv_hd_s04'}
+2026-06-14 00:43:10.225[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.235[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.236[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s04
+2026-06-14 00:43:10.236[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s03
+2026-06-14 00:43:10.237[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s03', 'prompt': 'A teenage boy learning to play acoustic guitar on a wooden porch, warm indoor lighting, focused expression, coming of age', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8551948, 'task_id': 'dielv_hd_s03'}
+2026-06-14 00:43:10.237[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.247[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.248[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s03
+2026-06-14 00:43:10.248[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s02
+2026-06-14 00:43:10.248[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s02', 'prompt': 'An old tree on a hilltop under moonlight, cicadas singing in the night, peaceful rural summer evening, soft blue tones', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.8550203, 'task_id': 'dielv_hd_s02'}
+2026-06-14 00:43:10.249[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.259[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.260[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s02
+2026-06-14 00:43:10.260[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s01
+2026-06-14 00:43:10.260[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s01', 'prompt': 'Close-up of ocean waves crashing on shore, seashells scattered on wet sand, summer afternoon, peaceful atmosphere', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.85481, 'task_id': 'dielv_hd_s01'}
+2026-06-14 00:43:10.261[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.271[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.272[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s01
+2026-06-14 00:43:10.272[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_s00
+2026-06-14 00:43:10.273[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_s00', 'prompt': 'A young child standing on a sandy beach at sunset, listening to ocean waves, warm golden light, cinematic wide shot', 'size': '1280*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781368938.84919, 'task_id': 'dielv_hd_s00'}
+2026-06-14 00:43:10.273[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.283[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.284[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_s00
+2026-06-14 00:43:10.284[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s00
+2026-06-14 00:43:10.285[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s00', 'prompt': 'A young child standing on a sandy beach at sunset, listening to ocean waves, warm golden light, cinematic wide shot', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.677895, 'finished_at': 1781368145.7620416, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s00', 'status': 'completed', 'video_url': '/idfile?path=dielv_s00.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s00.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 5043407, 'prompt': 'A young child standing on a sandy beach at sunset, listening to ocean waves, warm golden light, cine', 'seed': 2087212057}, 'task_id': 'dielv_s00', 'started_at': 1781367974.7489202}
+2026-06-14 00:43:10.285[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.295[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.296[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s00
+2026-06-14 00:43:10.296[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s22
+2026-06-14 00:43:10.297[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s22', 'prompt': 'Final shot: sunset beach with guitar leaning against driftwood, waves gently washing, musical legacy, peaceful ending, warm tones fading', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6873186, 'finished_at': 1781368145.763598, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s22', 'status': 'completed', 'video_url': '/idfile?path=dielv_s22.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s22.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 4991745, 'prompt': 'Final shot: sunset beach with guitar leaning against driftwood, waves gently washing, musical legacy', 'seed': 1789236950}, 'task_id': 'dielv_s22', 'started_at': 1781367975.2647176}
+2026-06-14 00:43:10.297[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.307[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.308[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s22
+2026-06-14 00:43:10.308[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s21
+2026-06-14 00:43:10.309[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s21', 'prompt': 'Ocean waves forming perfect spiraling patterns when viewed from above, nature mathematical beauty, aerial drone shot, blue green water', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6871283, 'finished_at': 1781368153.2746918, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s21', 'status': 'completed', 'video_url': '/idfile?path=dielv_s21.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s21.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 8247910, 'prompt': 'Ocean waves forming perfect spiraling patterns when viewed from above, nature mathematical beauty, a', 'seed': 1574215179}, 'task_id': 'dielv_s21', 'started_at': 1781367982.3373256}
+2026-06-14 00:43:10.309[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.319[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.320[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s21
+2026-06-14 00:43:10.320[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s20
+2026-06-14 00:43:10.321[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s20', 'prompt': 'A young child sitting next to the elderly musician on the beach, learning to play, generational passing of music, heartwarming', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6869352, 'finished_at': 1781368297.7926195, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s20', 'status': 'completed', 'video_url': '/idfile?path=dielv_s20.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s20.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 2948397, 'prompt': 'A young child sitting next to the elderly musician on the beach, learning to play, generational pass', 'seed': 56748582}, 'task_id': 'dielv_s20', 'started_at': 1781368130.458442}
+2026-06-14 00:43:10.321[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.331[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.332[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s20
+2026-06-14 00:43:10.332[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s19
+2026-06-14 00:43:10.333[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s19', 'prompt': 'An elderly musician sitting on a beach chair playing guitar at sunrise, peaceful expression, lifetime of music, warm golden light', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6867406, 'finished_at': 1781368317.0752552, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s19', 'status': 'completed', 'video_url': '/idfile?path=dielv_s19.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s19.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 3253145, 'prompt': 'An elderly musician sitting on a beach chair playing guitar at sunrise, peaceful expression, lifetim', 'seed': 2087212057}, 'task_id': 'dielv_s19', 'started_at': 1781368145.7649589}
+2026-06-14 00:43:10.333[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.343[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.344[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s19
+2026-06-14 00:43:10.344[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s18
+2026-06-14 00:43:10.345[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s18', 'prompt': 'A lighthouse beam sweeping across dark ocean waters, rhythmic rotation, beacon in the night, metaphor for persistence', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.686545, 'finished_at': 1781368313.7690911, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s18', 'status': 'completed', 'video_url': '/idfile?path=dielv_s18.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s18.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 3594139, 'prompt': 'A lighthouse beam sweeping across dark ocean waters, rhythmic rotation, beacon in the night, metapho', 'seed': 1789236950}, 'task_id': 'dielv_s18', 'started_at': 1781368145.7664058}
+2026-06-14 00:43:10.345[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.355[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.356[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s18
+2026-06-14 00:43:10.356[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s17
+2026-06-14 00:43:10.357[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s17', 'prompt': 'Wind blowing through tall grass and trees on a coastal cliff, clouds moving across the sky, nature symphony, epic wide shot', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6863546, 'finished_at': 1781368323.642458, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s17', 'status': 'completed', 'video_url': '/idfile?path=dielv_s17.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s17.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 6598791, 'prompt': 'Wind blowing through tall grass and trees on a coastal cliff, clouds moving across the sky, nature s', 'seed': 1574215179}, 'task_id': 'dielv_s17', 'started_at': 1781368153.277429}
+2026-06-14 00:43:10.357[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.367[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.368[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s17
+2026-06-14 00:43:10.368[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s16
+2026-06-14 00:43:10.369[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s16', 'prompt': 'Moonlight reflecting on calm ocean surface, gentle ripples creating patterns, serene night scene, silver blue tones, meditative', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6861644, 'finished_at': 1781368464.1157703, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s16', 'status': 'completed', 'video_url': '/idfile?path=dielv_s16.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s16.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 4959999, 'prompt': 'Moonlight reflecting on calm ocean surface, gentle ripples creating patterns, serene night scene, si', 'seed': 56748582}, 'task_id': 'dielv_s16', 'started_at': 1781368297.7955174}
+2026-06-14 00:43:10.369[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.379[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.380[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s16
+2026-06-14 00:43:10.380[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s15
+2026-06-14 00:43:10.381[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s15', 'prompt': 'A crowd of people singing together at an outdoor concert, everyone swaying to the same melody, unity in music, golden hour', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.685966, 'finished_at': 1781368481.3264537, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s15', 'status': 'completed', 'video_url': '/idfile?path=dielv_s15.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s15.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 7683800, 'prompt': 'A crowd of people singing together at an outdoor concert, everyone swaying to the same melody, unity', 'seed': 1789236950}, 'task_id': 'dielv_s15', 'started_at': 1781368313.7721217}
+2026-06-14 00:43:10.381[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.391[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.392[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s15
+2026-06-14 00:43:10.392[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s14
+2026-06-14 00:43:10.393[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s14', 'prompt': 'Close-up of hands writing music notes on paper, pen moving steadily, warm desk lamp, creative flow, vintage paper texture', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6857574, 'finished_at': 1781368488.1934762, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s14', 'status': 'completed', 'video_url': '/idfile?path=dielv_s14.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s14.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 2348892, 'prompt': 'Close-up of hands writing music notes on paper, pen moving steadily, warm desk lamp, creative flow, ', 'seed': 2087212057}, 'task_id': 'dielv_s14', 'started_at': 1781368317.0779226}
+2026-06-14 00:43:10.394[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.403[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.404[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s14
+2026-06-14 00:43:10.404[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s13
+2026-06-14 00:43:10.405[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s13', 'prompt': 'A middle-aged musician performing in a park, surrounded by trees, children listening, warm afternoon sunlight, simple joy', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6855578, 'finished_at': 1781368494.8031945, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s13', 'status': 'completed', 'video_url': '/idfile?path=dielv_s13.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s13.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 7526481, 'prompt': 'A middle-aged musician performing in a park, surrounded by trees, children listening, warm afternoon', 'seed': 1574215179}, 'task_id': 'dielv_s13', 'started_at': 1781368323.6455007}
+2026-06-14 00:43:10.405[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.415[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.416[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s13
+2026-06-14 00:43:10.416[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s12
+2026-06-14 00:43:10.417[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s12', 'prompt': 'Waves continuously hitting rocky shores, time-lapse style showing the repetitive rhythm of nature, powerful yet calming', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6853685, 'finished_at': 1781368630.3239963, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s12', 'status': 'completed', 'video_url': '/idfile?path=dielv_s12.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s12.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 7594820, 'prompt': 'Waves continuously hitting rocky shores, time-lapse style showing the repetitive rhythm of nature, p', 'seed': 56748582}, 'task_id': 'dielv_s12', 'started_at': 1781368464.1177084}
+2026-06-14 00:43:10.417[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.427[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.428[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s12
+2026-06-14 00:43:10.428[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s11
+2026-06-14 00:43:10.429[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s11', 'prompt': 'The same musician sitting quietly by a window with an acoustic guitar, simple and peaceful, natural daylight, returning to roots', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6851797, 'finished_at': 1781368650.994856, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s11', 'status': 'completed', 'video_url': '/idfile?path=dielv_s11.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s11.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 1687544, 'prompt': 'The same musician sitting quietly by a window with an acoustic guitar, simple and peaceful, natural ', 'seed': 1789236950}, 'task_id': 'dielv_s11', 'started_at': 1781368481.3292315}
+2026-06-14 00:43:10.429[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.439[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.440[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s11
+2026-06-14 00:43:10.440[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s10
+2026-06-14 00:43:10.441[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s10', 'prompt': 'A modern music studio with synthesizers and screens, a musician experimenting with new sounds, blue LED lighting, creative exploration', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.684984, 'finished_at': 1781368659.4676297, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s10', 'status': 'completed', 'video_url': '/idfile?path=dielv_s10.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s10.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 5248297, 'prompt': 'A modern music studio with synthesizers and screens, a musician experimenting with new sounds, blue ', 'seed': 2087212057}, 'task_id': 'dielv_s10', 'started_at': 1781368488.1960354}
+2026-06-14 00:43:10.441[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.451[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.452[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s10
+2026-06-14 00:43:10.452[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s09
+2026-06-14 00:43:10.453[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s09', 'prompt': 'An adult musician walking through a busy city street with neon signs, searching for inspiration, reflective mood, night scene', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6847923, 'finished_at': 1781368665.592558, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s09', 'status': 'completed', 'video_url': '/idfile?path=dielv_s09.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s09.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 5499070, 'prompt': 'An adult musician walking through a busy city street with neon signs, searching for inspiration, ref', 'seed': 1574215179}, 'task_id': 'dielv_s09', 'started_at': 1781368494.8068867}
+2026-06-14 00:43:10.453[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.463[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.464[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s09
+2026-06-14 00:43:10.464[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s08
+2026-06-14 00:43:10.465[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s08', 'prompt': 'Beautiful sunset over the ocean, silhouette of a person standing on a pier, contemplative mood, orange and purple sky', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6845872, 'finished_at': 1781368798.115873, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s08', 'status': 'completed', 'video_url': '/idfile?path=dielv_s08.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s08.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 1730393, 'prompt': 'Beautiful sunset over the ocean, silhouette of a person standing on a pier, contemplative mood, oran', 'seed': 56748582}, 'task_id': 'dielv_s08', 'started_at': 1781368630.327041}
+2026-06-14 00:43:10.465[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.475[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.476[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s08
+2026-06-14 00:43:10.476[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s07
+2026-06-14 00:43:10.477[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s07', 'prompt': 'Musical notes and sound waves visualized as colorful light trails flowing through a concert hall, abstract artistic visualization', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6843948, 'finished_at': 1781368819.3826573, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s07', 'status': 'completed', 'video_url': '/idfile?path=dielv_s07.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s07.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 8004551, 'prompt': 'Musical notes and sound waves visualized as colorful light trails flowing through a concert hall, ab', 'seed': 1789236950}, 'task_id': 'dielv_s07', 'started_at': 1781368650.9977145}
+2026-06-14 00:43:10.477[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.487[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.488[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s07
+2026-06-14 00:43:10.488[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s06
+2026-06-14 00:43:10.489[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s06', 'prompt': 'Close-up of guitar strings being played, fingers moving gracefully, warm stage lighting, musical passion, shallow depth of field', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6841996, 'finished_at': 1781368830.647741, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s06', 'status': 'completed', 'video_url': '/idfile?path=dielv_s06.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s06.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 4551493, 'prompt': 'Close-up of guitar strings being played, fingers moving gracefully, warm stage lighting, musical pas', 'seed': 2087212057}, 'task_id': 'dielv_s06', 'started_at': 1781368659.470447}
+2026-06-14 00:43:10.489[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.499[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.500[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s06
+2026-06-14 00:43:10.500[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s05
+2026-06-14 00:43:10.501[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s05', 'prompt': 'A cozy bar with warm lighting, a young singer performing on a small stage, audience clapping along, intimate concert atmosphere', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6840105, 'finished_at': 1781368836.7919676, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s05', 'status': 'completed', 'video_url': '/idfile?path=dielv_s05.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s05.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 5180729, 'prompt': 'A cozy bar with warm lighting, a young singer performing on a small stage, audience clapping along, ', 'seed': 1574215179}, 'task_id': 'dielv_s05', 'started_at': 1781368665.59576}
+2026-06-14 00:43:10.501[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.511[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.512[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s05
+2026-06-14 00:43:10.512[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s04
+2026-06-14 00:43:10.513[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s04', 'prompt': 'A young musician performing on a small street stage, strumming guitar, people walking by, urban evening golden hour', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6836863, 'finished_at': 1781368967.7975943, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s04', 'status': 'completed', 'video_url': '/idfile?path=dielv_s04.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s04.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 9618652, 'prompt': 'A young musician performing on a small street stage, strumming guitar, people walking by, urban even', 'seed': 56748582}, 'task_id': 'dielv_s04', 'started_at': 1781368798.1197057}
+2026-06-14 00:43:10.513[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:43:10.523[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 2 more times]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.62 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.88 GiB is allocated by PyTorch, and 42.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:43:10.524[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s04
+2026-06-14 00:44:26.366[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:49:26.369[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:54:26.370[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:58:07.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 00:59:26.371[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:04:26.375[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:09:26.377[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:14:26.378[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:19:26.383[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:24:26.387[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:29:26.390[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:34:26.390[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:39:26.394[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:44:26.397[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:49:26.398[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:54:26.403[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:58:07.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 01:59:26.407[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:04:26.409[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:09:26.410[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:14:26.414[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:19:26.417[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:24:26.418[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:29:26.418[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:34:26.422[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:39:26.424[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:44:26.425[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:49:26.429[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:54:26.432[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:58:07.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 02:59:26.434[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:04:26.435[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:09:26.440[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:14:26.443[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:19:26.444[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:24:26.449[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:29:26.453[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:34:26.455[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:39:26.455[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:44:26.459[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:49:26.462[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:54:26.463[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:58:07.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 03:59:26.468[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:04:26.470[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:09:26.473[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:14:26.473[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:19:26.477[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:24:26.480[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:29:26.481[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:34:26.486[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:39:26.490[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:44:26.492[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:49:26.493[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:54:26.497[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:58:07.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 04:59:26.501[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:04:26.502[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:09:26.502[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:14:26.507[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:19:26.509[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:24:26.510[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:29:26.515[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:34:26.518[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:39:26.520[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:44:26.521[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:49:26.525[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:54:26.528[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:58:07.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 05:59:26.529[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:04:26.534[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:09:26.538[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:14:26.541[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:19:26.542[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:24:26.546[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:29:26.549[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:34:26.551[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:39:26.555[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:44:26.559[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:49:26.561[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:54:26.562[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:58:07.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 06:59:26.566[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:04:26.569[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:09:26.571[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:14:26.571[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:19:26.575[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:24:26.577[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:29:26.578[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:34:26.583[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:39:26.586[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:44:26.588[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:49:26.589[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:54:26.593[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:58:07.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 07:59:26.596[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:04:26.598[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:09:26.598[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:14:26.599[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:19:26.601[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:24:26.602[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:29:26.606[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:34:26.608[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:39:26.609[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:44:26.614[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:49:26.617[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:54:26.619[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:58:07.786[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 08:59:26.619[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:04:26.623[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:09:26.626[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:14:26.627[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:19:26.633[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:24:26.637[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:29:26.639[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:34:26.640[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:39:26.645[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:44:26.648[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:49:26.649[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:54:26.649[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:58:07.787[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 09:59:26.653[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:04:26.656[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:09:26.656[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:14:26.661[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:19:26.664[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:24:26.666[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:29:26.665[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:34:26.666[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:39:26.668[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:44:26.669[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:49:26.673[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:54:26.676[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:58:07.788[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 10:59:26.677[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:04:26.677[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:09:26.681[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:14:26.684[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:19:26.685[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:24:26.690[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:29:26.693[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:34:26.696[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:39:26.695[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:44:26.698[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:49:26.700[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:54:26.701[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:58:07.787[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 11:59:26.706[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:04:26.709[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:09:26.710[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:14:26.711[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:19:26.715[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:24:26.718[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:29:26.719[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:34:26.724[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:39:26.726[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:44:26.727[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:49:26.728[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:54:26.731[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:58:07.787[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 12:59:26.733[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:04:26.734[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:09:26.738[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:14:26.741[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:19:26.743[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:24:26.743[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:29:26.747[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:34:26.750[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:39:26.751[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:44:26.756[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:49:26.758[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:54:26.760[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:58:07.788[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 13:59:26.760[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:04:26.763[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:09:26.766[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:14:26.766[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:19:26.771[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:24:26.774[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:29:26.776[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:34:26.776[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:39:26.780[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:44:26.782[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:49:26.783[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:54:26.788[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:58:07.787[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 14:59:26.790[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:04:26.792[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:09:26.792[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:14:26.797[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:19:26.799[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:24:26.800[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:29:26.805[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:34:26.809[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:39:26.811[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:44:26.811[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:49:26.815[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:54:26.818[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:58:07.787[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 15:59:26.819[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:04:26.824[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:09:26.828[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:14:26.830[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:19:26.830[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:24:26.834[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
diff --git a/nohup_gpu4.out b/nohup_gpu4.out
new file mode 100644
index 0000000..15ab1f1
--- /dev/null
+++ b/nohup_gpu4.out
@@ -0,0 +1,560 @@
+2026-06-13 19:58:08.658[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/ahserver/configuredServer.py:40]client_max_size=1024000000
+reuse_port= True
+<bound method LongTasks.run of <__main__.Wan22Tasks object at 0x7f79a6bb2d40>> is a coroutine
+2026-06-13 19:58:08.659[webapp][debug][/data/ymq/wan22-service/ah.py:32]longtasks worker started, GPU: 4
+======== Running on http://0.0.0.0:8079 ========
+(Press CTRL+C to quit)
+2026-06-13 19:58:08.759[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 19:58:08.761[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:131][worker 0] start
+2026-06-13 20:02:41.031[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=i7UsLyuV3Iu7C-QC96jr0
+2026-06-13 20:02:41.031[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': '2458c41944db', 'prompt': 'Concurrent test task 4 - mountain landscape with flowing river', 'image': None, 'size': '832*480', 'frame_num': 33, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781352161.0304644, 'task_id': 'i7UsLyuV3Iu7C-QC96jr0'}
+2026-06-13 20:02:41.032[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 20:02:41.033[webapp][debug][/data/ymq/wan22-service/workers/generate.py:29]Loading Wan22 engine (first call, may take 30-60s)...
+
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+2026-06-13 20:03:58.697[webapp][debug][/data/ymq/wan22-service/workers/generate.py:49]Wan22 engine loaded, GPU: 4
+
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+
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+/data/ymq/wan22-service/repo/wan/modules/vae2_2.py:1042: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast(dtype=self.dtype):
+2026-06-13 20:05:08.857[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/2458c41944db.mp4 (3607073 bytes)
+2026-06-13 20:05:08.859[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished i7UsLyuV3Iu7C-QC96jr0
+2026-06-13 20:09:26.456[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:14:01.034[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=YoceRAffWLyQ_4ouxBsUk
+2026-06-13 20:14:01.036[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'scene_03', 'prompt': "A chaotic war room where music critics sit around an enormous circular table covered in holographic analysis charts, frantically studying the song. News tickers scroll 'BREAKING: SONG CHANGES WORLD'. Split screens show social media trending topics exploding with fire emojis. A panel of 'experts' in absurdly oversized glasses point at whiteboards proving 'simplicity equals genius' with complex mathematical formulas. The camera rapidly cuts between multiple screens and panicked faces. Neon orange and red alert colors dominate. Media saturation aesthetic with information overload visuals.", 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781352841.0337565, 'task_id': 'YoceRAffWLyQ_4ouxBsUk'}
+2026-06-13 20:14:01.036[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+
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+2026-06-13 20:16:50.533[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/scene_03.mp4 (11218054 bytes)
+2026-06-13 20:16:50.535[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished YoceRAffWLyQ_4ouxBsUk
+2026-06-13 20:16:50.535[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=FQ-jpGO-X5ut3zxNVJZux
+2026-06-13 20:16:50.536[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'scene_07', 'prompt': "A cosmic finale where the entire galaxy pulses to the song's rhythm. Stars rearrange into the song title in Chinese characters across the Milky Way. Earth is surrounded by billions of phones all playing the same song. People on streets worldwide stare at screens with glazed eyes while a giant holographic face smiles benevolently above the city. The camera pulls back from a single person scrolling their phone to reveal the entire planet, then the solar system, all synchronized. As the song ends, the galaxy fades to show a single troll face emoji glowing in neon. Final shot: chaos of opinions - believers, doubters, angry mobs, followers - all feeding a massive algorithmic engine that converts controversy into traffic. Cyberpunk neon purple, electric blue, and cosmic gold.", 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781352841.0630753, 'task_id': 'FQ-jpGO-X5ut3zxNVJZux'}
+2026-06-13 20:16:50.537[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+2026-06-13 20:19:26.465[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:19:39.777[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/scene_07.mp4 (12562277 bytes)
+2026-06-13 20:19:39.779[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished FQ-jpGO-X5ut3zxNVJZux
+2026-06-13 20:20:44.326[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=sVstuUrAmOvheZItoe7Yh
+2026-06-13 20:20:44.327[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s00', 'prompt': 'A lone figure in a dark underground cyberpunk lab, typing on a holographic keyboard. Rows of server racks pulse with neon blue light behind them. Camera slowly dollies forward. Moody, mysterious atmosphere.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.325201, 'task_id': 'sVstuUrAmOvheZItoe7Yh'}
+2026-06-13 20:20:44.328[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:23:34.842[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s00.mp4 (6973862 bytes)
+2026-06-13 20:23:34.844[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished sVstuUrAmOvheZItoe7Yh
+2026-06-13 20:23:34.845[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=zq6h3a_6WfyeNiKA8jBKq
+2026-06-13 20:23:34.845[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s28', 'prompt': 'The original figure walking alone through empty neon streets. Behind them, screens still flash the song everywhere. A bittersweet quiet after the storm. Lonely protagonist in cyberpunk city.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.5504618, 'task_id': 'zq6h3a_6WfyeNiKA8jBKq'}
+2026-06-13 20:23:34.846[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:26:24.843[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s28.mp4 (5331481 bytes)
+2026-06-13 20:26:24.844[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished zq6h3a_6WfyeNiKA8jBKq
+2026-06-13 20:26:24.844[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s28
+2026-06-13 20:26:24.844[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s28', 'prompt': 'The original figure walking alone through empty neon streets. Behind them, screens still flash the song everywhere. A bittersweet quiet after the storm. Lonely protagonist in cyberpunk city.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6096492, 'task_id': 'mtv_s28'}
+2026-06-13 20:26:24.844[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:29:14.233[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s28.mp4 (5331481 bytes)
+2026-06-13 20:29:14.234[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s28
+2026-06-13 20:29:14.235[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s24
+2026-06-13 20:29:14.235[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s24', 'prompt': 'Close-up of data being manually adjusted on holographic displays. Numbers being dragged upward with gloved hands. Reality distortion field made visible through glitching digital artifacts.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6088817, 'task_id': 'mtv_s24'}
+2026-06-13 20:29:14.236[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 20:29:26.473[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-13 20:32:02.990[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s24.mp4 (8907615 bytes)
+2026-06-13 20:32:02.991[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s24
+2026-06-13 20:32:02.992[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s21
+2026-06-13 20:32:02.993[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s21', 'prompt': 'An entire university campus being physically reshaped into the waveform pattern of the song. Buildings twist and morph. Aerial shot showing the transformation. Reverent satire.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6082423, 'task_id': 'mtv_s21'}
+2026-06-13 20:32:02.993[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:34:26.483[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:34:54.371[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s21.mp4 (17114233 bytes)
+2026-06-13 20:34:54.373[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s21
+2026-06-13 20:34:54.373[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s16
+2026-06-13 20:34:54.374[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s16', 'prompt': 'Automated response bots on screens explaining away negative comments. A sentiment analysis dashboard shows sentiment being forcibly corrected to positive. Orwellian PR aesthetic.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6072485, 'task_id': 'mtv_s16'}
+2026-06-13 20:34:54.374[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:37:44.220[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s16.mp4 (2960232 bytes)
+2026-06-13 20:37:44.222[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s16
+2026-06-13 20:37:44.222[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s11
+2026-06-13 20:37:44.223[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s11', 'prompt': 'Split screens showing social media trending topics exploding with fire emojis and comment floods. A panel of experts in oversized glasses pointing at whiteboards with complex formulas.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6062517, 'task_id': 'mtv_s11'}
+2026-06-13 20:37:44.224[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+
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+2026-06-13 20:40:34.677[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s11.mp4 (4718739 bytes)
+2026-06-13 20:40:34.679[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s11
+2026-06-13 20:40:34.679[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s07
+2026-06-13 20:40:34.680[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s07', 'prompt': 'Competing artists entries crumble to dust on a massive stage. A holographic crown descends from the ceiling onto an empty throne. Camera sweeps upward revealing endless hall of trophies.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6054134, 'task_id': 'mtv_s07'}
+2026-06-13 20:40:34.680[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:43:25.198[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s07.mp4 (8780166 bytes)
+2026-06-13 20:43:25.199[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s07
+2026-06-13 20:43:25.200[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mtv_s03
+2026-06-13 20:43:25.201[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s03', 'prompt': 'An absurdly long assembly line where glowing musical notes travel through hundreds of scanning stations. Robotic arms with magnifying glasses inspect each note. Sterile white mixed with neon green.', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781353496.6046042, 'task_id': 'mtv_s03'}
+2026-06-13 20:43:25.201[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:46:14.456[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s03.mp4 (4482028 bytes)
+2026-06-13 20:46:14.458[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mtv_s03
+2026-06-13 20:46:14.458[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=JmRRNmdGCWiLjfuUI2cgO
+2026-06-13 20:46:14.459[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s25', 'prompt': 'The propaganda officials celebrating around a cake shaped like the song album cover. Confetti cannons fire. Totalitarian kitsch meets cyberpunk absurdity. Gold and crimson.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.5263588, 'task_id': 'JmRRNmdGCWiLjfuUI2cgO'}
+2026-06-13 20:46:14.460[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:49:05.532[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s25.mp4 (11533629 bytes)
+2026-06-13 20:49:05.534[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished JmRRNmdGCWiLjfuUI2cgO
+2026-06-13 20:49:05.534[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=mDUSbcxb2MPw7h-3_t2Cl
+2026-06-13 20:49:05.535[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s21', 'prompt': 'An entire university campus being physically reshaped into the waveform pattern of the song. Buildings twist and morph. Aerial shot showing the transformation. Reverent satire.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.4956968, 'task_id': 'mDUSbcxb2MPw7h-3_t2Cl'}
+2026-06-13 20:49:05.535[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+2026-06-13 20:51:55.986[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s21.mp4 (17114233 bytes)
+2026-06-13 20:51:55.988[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished mDUSbcxb2MPw7h-3_t2Cl
+2026-06-13 20:51:55.989[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=1VmavmwL8lzlho1Afv85m
+2026-06-13 20:51:55.990[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s17', 'prompt': 'The original lone figure watching from a glass tower above the chaos, sipping coffee. Below, the entire city is in an uproar. Calm satisfaction contrasted with chaos below.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.4642024, 'task_id': '1VmavmwL8lzlho1Afv85m'}
+2026-06-13 20:51:55.990[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:54:26.522[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 20:54:46.952[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s17.mp4 (3245739 bytes)
+2026-06-13 20:54:46.953[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished 1VmavmwL8lzlho1Afv85m
+2026-06-13 20:54:46.953[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=AVpxC86NP9Rvao0FIKXWT
+2026-06-13 20:54:46.953[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s12', 'prompt': 'News anchors with shocked expressions reading teleprompters. Screens behind them showing charts going parabolic. Media frenzy, information overload, neon orange and red alert colors.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.4226356, 'task_id': 'AVpxC86NP9Rvao0FIKXWT'}
+2026-06-13 20:54:46.954[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 20:57:38.732[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s12.mp4 (4902251 bytes)
+2026-06-13 20:57:38.734[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished AVpxC86NP9Rvao0FIKXWT
+2026-06-13 20:57:38.734[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=DDeKAMi0VevK1zSMHTxcs
+2026-06-13 20:57:38.735[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s08', 'prompt': 'A golden museum entrance where song titles are carved into stone tablets. Visitors bow reverently. Cyberpunk cityscape visible through glass ceiling, bathed in electric pink and gold.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.3849103, 'task_id': 'DDeKAMi0VevK1zSMHTxcs'}
+2026-06-13 20:57:38.736[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+
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+2026-06-13 21:00:28.028[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s08.mp4 (4203653 bytes)
+2026-06-13 21:00:28.030[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished DDeKAMi0VevK1zSMHTxcs
+2026-06-13 21:00:28.031[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=17h3mcF_S1fhXHJ_H1SJH
+2026-06-13 21:00:28.031[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'mtv_s04', 'prompt': 'Workers in futuristic hazmat suits examining sound waves under holographic microscopes. Giant APPROVED stamps flash repeatedly. Exaggerated bureaucratic quality control center, satirical.', 'image': None, 'size': '832*480', 'frame_num': 129, 'sample_steps': None, 'sample_guide_scale': None, 'base_seed': None}, 'status': 'PENDING', 'created_at': 1781353244.3580325, 'task_id': '17h3mcF_S1fhXHJ_H1SJH'}
+2026-06-13 21:00:28.032[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 21:03:15.945[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/mtv_s04.mp4 (9441497 bytes)
+2026-06-13 21:03:15.947[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished 17h3mcF_S1fhXHJ_H1SJH
+2026-06-13 21:04:26.570[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:09:26.573[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:14:26.575[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:19:26.580[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:24:26.584[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:29:26.586[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:34:26.587[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:39:26.592[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:44:26.595[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:49:26.597[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:54:26.602[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 21:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 21:59:26.606[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:04:26.609[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:09:26.610[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:14:26.615[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:19:26.619[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:24:26.621[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:29:26.621[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:34:26.625[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:39:26.627[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:44:26.628[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:49:26.633[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:54:26.637[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 22:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-13 22:59:26.639[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:04:26.640[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:09:26.644[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:14:26.647[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:19:26.648[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:24:26.653[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:29:26.656[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:34:26.658[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:39:26.659[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:44:26.663[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:49:26.666[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-13 23:52:12.199[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s00
+2026-06-13 23:52:12.200[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s00', 'prompt': 'A young child standing on a sandy beach at sunset, listening to ocean waves, warm golden light, cinematic wide shot', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781365932.1932976, 'task_id': 'dielv_s00'}
+2026-06-13 23:52:12.201[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+
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+2026-06-13 23:55:02.827[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s00.mp4 (5043407 bytes)
+2026-06-13 23:55:02.828[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s00
+2026-06-13 23:55:02.829[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s20
+2026-06-13 23:55:02.829[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s20', 'prompt': 'A young child sitting next to the elderly musician on the beach, learning to play, generational passing of music, heartwarming', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6869352, 'task_id': 'dielv_s20'}
+2026-06-13 23:55:02.830[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-13 23:57:53.260[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s20.mp4 (4294198 bytes)
+2026-06-13 23:57:53.261[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s20
+2026-06-13 23:57:53.262[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s16
+2026-06-13 23:57:53.262[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s16', 'prompt': 'Moonlight reflecting on calm ocean surface, gentle ripples creating patterns, serene night scene, silver blue tones, meditative', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6861644, 'task_id': 'dielv_s16'}
+2026-06-13 23:57:53.263[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-13 23:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
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+
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+2026-06-14 00:00:42.559[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s16.mp4 (6756423 bytes)
+2026-06-14 00:00:42.561[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s16
+2026-06-14 00:00:42.561[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s12
+2026-06-14 00:00:42.562[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s12', 'prompt': 'Waves continuously hitting rocky shores, time-lapse style showing the repetitive rhythm of nature, powerful yet calming', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6853685, 'task_id': 'dielv_s12'}
+2026-06-14 00:00:42.563[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:03:31.493[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s12.mp4 (7191313 bytes)
+2026-06-14 00:03:31.494[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s12
+2026-06-14 00:03:31.495[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s10
+2026-06-14 00:03:31.496[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s10', 'prompt': 'A modern music studio with synthesizers and screens, a musician experimenting with new sounds, blue LED lighting, creative exploration', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.684984, 'task_id': 'dielv_s10'}
+2026-06-14 00:03:31.496[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:06:22.090[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s10.mp4 (5248297 bytes)
+2026-06-14 00:06:22.092[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s10
+2026-06-14 00:06:22.092[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s05
+2026-06-14 00:06:22.093[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s05', 'prompt': 'A cozy bar with warm lighting, a young singer performing on a small stage, audience clapping along, intimate concert atmosphere', 'size': '832*480', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781366061.6840105, 'task_id': 'dielv_s05'}
+2026-06-14 00:06:22.094[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:09:13.697[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s05.mp4 (5507655 bytes)
+2026-06-14 00:09:13.699[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s05
+2026-06-14 00:09:13.699[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s00
+2026-06-14 00:09:13.700[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s00', 'prompt': 'A young child standing on a sandy beach at sunset, listening to ocean waves, warm golden light, cinematic wide shot', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.677895, 'finished_at': 1781366102.8272994, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s00', 'status': 'completed', 'video_url': '/idfile?path=dielv_s00.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s00.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 5043407, 'prompt': 'A young child standing on a sandy beach at sunset, listening to ocean waves, warm golden light, cine', 'seed': 2087212057}, 'task_id': 'dielv_s00', 'started_at': 1781365932.2005424}
+2026-06-14 00:09:13.701[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:09:26.878[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-14 00:12:05.051[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s00.mp4 (5043407 bytes)
+2026-06-14 00:12:05.053[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s00
+2026-06-14 00:12:05.053[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s19
+2026-06-14 00:12:05.054[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s19', 'prompt': 'An elderly musician sitting on a beach chair playing guitar at sunrise, peaceful expression, lifetime of music, warm golden light', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6867406, 'finished_at': 1781366273.8137374, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s19', 'status': 'completed', 'video_url': '/idfile?path=dielv_s19.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s19.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 2896789, 'prompt': 'An elderly musician sitting on a beach chair playing guitar at sunrise, peaceful expression, lifetim', 'seed': 1574215179}, 'task_id': 'dielv_s19', 'started_at': 1781366102.8535323}
+2026-06-14 00:12:05.054[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:14:26.902[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:14:54.575[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s19.mp4 (3253145 bytes)
+2026-06-14 00:14:54.576[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s19
+2026-06-14 00:14:54.577[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s15
+2026-06-14 00:14:54.578[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s15', 'prompt': 'A crowd of people singing together at an outdoor concert, everyone swaying to the same melody, unity in music, golden hour', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.685966, 'finished_at': 1781366445.2396483, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s15', 'status': 'completed', 'video_url': '/idfile?path=dielv_s15.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s15.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 5922847, 'prompt': 'A crowd of people singing together at an outdoor concert, everyone swaying to the same melody, unity', 'seed': 1574215179}, 'task_id': 'dielv_s15', 'started_at': 1781366273.8168402}
+2026-06-14 00:14:54.578[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:17:44.428[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s15.mp4 (7294323 bytes)
+2026-06-14 00:17:44.430[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s15
+2026-06-14 00:17:44.430[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s11
+2026-06-14 00:17:44.431[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s11', 'prompt': 'The same musician sitting quietly by a window with an acoustic guitar, simple and peaceful, natural daylight, returning to roots', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6851797, 'finished_at': 1781366616.4938762, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s11', 'status': 'completed', 'video_url': '/idfile?path=dielv_s11.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s11.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 2563551, 'prompt': 'The same musician sitting quietly by a window with an acoustic guitar, simple and peaceful, natural ', 'seed': 1574215179}, 'task_id': 'dielv_s11', 'started_at': 1781366445.2425406}
+2026-06-14 00:17:44.432[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:20:33.700[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s11.mp4 (1699966 bytes)
+2026-06-14 00:20:33.701[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s11
+2026-06-14 00:20:33.701[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s08
+2026-06-14 00:20:33.702[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s08', 'prompt': 'Beautiful sunset over the ocean, silhouette of a person standing on a pier, contemplative mood, orange and purple sky', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6845872, 'finished_at': 1781366783.100829, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s08', 'status': 'completed', 'video_url': '/idfile?path=dielv_s08.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s08.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 1566713, 'prompt': 'Beautiful sunset over the ocean, silhouette of a person standing on a pier, contemplative mood, oran', 'seed': 1789236950}, 'task_id': 'dielv_s08', 'started_at': 1781366612.71765}
+2026-06-14 00:20:33.702[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:23:23.487[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s08.mp4 (1374010 bytes)
+2026-06-14 00:23:23.489[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s08
+2026-06-14 00:23:23.489[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s04
+2026-06-14 00:23:23.490[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s04', 'prompt': 'A young musician performing on a small street stage, strumming guitar, people walking by, urban evening golden hour', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6836863, 'finished_at': 1781366952.7494779, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s04', 'status': 'completed', 'video_url': '/idfile?path=dielv_s04.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s04.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 7525309, 'prompt': 'A young musician performing on a small street stage, strumming guitar, people walking by, urban even', 'seed': 1789236950}, 'task_id': 'dielv_s04', 'started_at': 1781366783.1046615}
+2026-06-14 00:23:23.491[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:26:14.746[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s04.mp4 (9898755 bytes)
+2026-06-14 00:26:14.747[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s04
+2026-06-14 00:26:14.748[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s00
+2026-06-14 00:26:14.748[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s00', 'prompt': 'A young child standing on a sandy beach at sunset, listening to ocean waves, warm golden light, cinematic wide shot', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.677895, 'finished_at': 1781367125.0513215, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s00', 'status': 'completed', 'video_url': '/idfile?path=dielv_s00.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s00.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 5043407, 'prompt': 'A young child standing on a sandy beach at sunset, listening to ocean waves, warm golden light, cine', 'seed': 2087212057}, 'task_id': 'dielv_s00', 'started_at': 1781366953.7005763}
+2026-06-14 00:26:14.749[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:29:05.761[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s00.mp4 (5043407 bytes)
+2026-06-14 00:29:05.763[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s00
+2026-06-14 00:29:05.764[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s19
+2026-06-14 00:29:05.764[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s19', 'prompt': 'An elderly musician sitting on a beach chair playing guitar at sunrise, peaceful expression, lifetime of music, warm golden light', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6867406, 'finished_at': 1781367294.5751789, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s19', 'status': 'completed', 'video_url': '/idfile?path=dielv_s19.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s19.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 3253145, 'prompt': 'An elderly musician sitting on a beach chair playing guitar at sunrise, peaceful expression, lifetim', 'seed': 2087212057}, 'task_id': 'dielv_s19', 'started_at': 1781367125.0544362}
+2026-06-14 00:29:05.765[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 00:29:27.090[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
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+2026-06-14 00:31:57.075[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s19.mp4 (3253145 bytes)
+2026-06-14 00:31:57.076[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s19
+2026-06-14 00:31:57.077[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s14
+2026-06-14 00:31:57.077[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s14', 'prompt': 'Close-up of hands writing music notes on paper, pen moving steadily, warm desk lamp, creative flow, vintage paper texture', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6857574, 'finished_at': 1781367469.603796, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s14', 'status': 'completed', 'video_url': '/idfile?path=dielv_s14.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s14.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 2095876, 'prompt': 'Close-up of hands writing music notes on paper, pen moving steadily, warm desk lamp, creative flow, ', 'seed': 1574215179}, 'task_id': 'dielv_s14', 'started_at': 1781367298.398004}
+2026-06-14 00:31:57.078[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:34:27.116[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:34:48.193[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s14.mp4 (2348892 bytes)
+2026-06-14 00:34:48.194[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s14
+2026-06-14 00:34:48.195[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s10
+2026-06-14 00:34:48.196[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s10', 'prompt': 'A modern music studio with synthesizers and screens, a musician experimenting with new sounds, blue LED lighting, creative exploration', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.684984, 'finished_at': 1781367639.6156864, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s10', 'status': 'completed', 'video_url': '/idfile?path=dielv_s10.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s10.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 4428235, 'prompt': 'A modern music studio with synthesizers and screens, a musician experimenting with new sounds, blue ', 'seed': 1574215179}, 'task_id': 'dielv_s10', 'started_at': 1781367469.6067245}
+2026-06-14 00:34:48.196[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:37:39.467[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s10.mp4 (5248297 bytes)
+2026-06-14 00:37:39.469[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s10
+2026-06-14 00:37:39.469[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s06
+2026-06-14 00:37:39.470[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s06', 'prompt': 'Close-up of guitar strings being played, fingers moving gracefully, warm stage lighting, musical passion, shallow depth of field', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6841996, 'finished_at': 1781367811.7129939, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s06', 'status': 'completed', 'video_url': '/idfile?path=dielv_s06.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s06.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 4123872, 'prompt': 'Close-up of guitar strings being played, fingers moving gracefully, warm stage lighting, musical pas', 'seed': 1574215179}, 'task_id': 'dielv_s06', 'started_at': 1781367639.6192877}
+2026-06-14 00:37:39.470[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+
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+2026-06-14 00:40:30.647[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s06.mp4 (4551493 bytes)
+2026-06-14 00:40:30.649[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s06
+2026-06-14 00:40:30.650[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_s02
+2026-06-14 00:40:30.651[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_s02', 'prompt': 'An old tree on a hilltop under moonlight, cicadas singing in the night, peaceful rural summer evening, soft blue tones', 'size': '832*480', 'frame_num': 129}, 'created_at': 1781366061.6830482, 'finished_at': 1781367982.3343992, 'status': 'SUCCEEDED', 'result': {'task_id': 'dielv_s02', 'status': 'completed', 'video_url': '/idfile?path=dielv_s02.mp4', 'video_path': '/data/ymq/wan22-outputs/dielv_s02.mp4', 'size': '832*480', 'frame_num': 129, 'file_size': 4427050, 'prompt': 'An old tree on a hilltop under moonlight, cicadas singing in the night, peaceful rural summer evenin', 'seed': 1574215179}, 'task_id': 'dielv_s02', 'started_at': 1781367811.7160444}
+2026-06-14 00:40:30.651[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
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+2026-06-14 00:43:19.827[webapp][debug][/data/ymq/wan22-service/workers/generate.py:114]Video generated: /data/ymq/wan22-outputs/dielv_s02.mp4 (4316632 bytes)
+2026-06-14 00:43:19.829[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_s02
+2026-06-14 00:44:27.218[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:45:12.181[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd_test
+2026-06-14 00:45:12.182[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd_test', 'prompt': 'A young child standing on a sandy beach at sunset, warm golden light, cinematic', 'size': '1024*704', 'frame_num': 129}, 'status': 'PENDING', 'created_at': 1781369112.176417, 'task_id': 'dielv_hd_test'}
+2026-06-14 00:45:12.183[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+
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+2026-06-14 00:45:33.010[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 274.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.69 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.83 GiB is allocated by PyTorch, and 100.06 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 384, in t2v
+    noise_pred_cond = self.model(
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/data/ymq/wan22-service/repo/wan/modules/model.py", line 490, in forward
+    x = block(x, **kwargs)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/data/ymq/wan22-service/repo/wan/modules/model.py", line 244, in forward
+    self.norm1(x).float() * (1 + e[1].squeeze(2)) + e[0].squeeze(2),
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 274.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 47.69 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.83 GiB is allocated by PyTorch, and 100.06 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 00:45:33.012[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd_test
+2026-06-14 00:49:27.223[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:54:27.225[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 00:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 00:59:27.226[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:04:27.226[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:09:27.230[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:14:27.233[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:19:27.234[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:24:27.239[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:29:27.243[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:34:27.245[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:39:27.246[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:44:27.251[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:49:27.254[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:54:27.256[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 01:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 01:59:27.261[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:04:27.265[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:09:27.267[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:14:27.268[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:19:27.272[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:24:27.275[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:29:27.277[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:34:27.278[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:39:27.282[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:44:27.284[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:49:27.285[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:54:27.290[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 02:58:08.763[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 02:59:27.294[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:04:27.295[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:09:27.296[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:14:27.300[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:19:27.303[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:24:27.304[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:29:27.309[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:34:27.313[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:39:27.315[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:44:27.316[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:49:27.321[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:54:27.324[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 03:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 03:59:27.325[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:04:27.330[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:09:27.334[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:14:27.337[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:19:27.338[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:24:27.343[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:29:27.346[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:34:27.348[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:39:27.353[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:44:27.356[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:49:27.358[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:54:27.359[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 04:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 04:59:27.364[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:04:27.367[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:09:27.369[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:14:27.370[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:19:27.373[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:24:27.376[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:29:27.377[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:34:27.382[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:39:27.386[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:44:27.389[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:49:27.390[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:54:27.394[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 05:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 05:59:27.397[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:04:27.399[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:09:27.405[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:14:27.408[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:19:27.410[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:24:27.411[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:29:27.414[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:34:27.417[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:39:27.419[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:44:27.419[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:49:27.422[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:54:27.425[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 06:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 06:59:27.427[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:04:27.431[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:09:27.435[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:14:27.437[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:19:27.438[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:24:27.443[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:29:27.446[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:34:27.448[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:39:27.452[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:44:27.455[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:49:27.457[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:54:27.458[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 07:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 07:59:27.462[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:04:27.465[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:09:27.467[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:14:27.471[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:19:27.475[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:24:27.478[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:29:27.478[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:34:27.482[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:39:27.485[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:44:27.487[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:49:27.492[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:54:27.496[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 08:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 08:59:27.498[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:04:27.499[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:09:27.503[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:14:27.506[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:19:27.508[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:24:27.508[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:29:27.512[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:32:10.427[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:144]get task_id=dielv_hd65_test
+2026-06-14 09:32:10.428[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:148]task={'payload': {'task_type': 'generate_video', 'task_id': 'dielv_hd65_test', 'prompt': 'A young child standing on a sandy beach at sunset, warm golden light, cinematic', 'size': '1024*704', 'frame_num': 65}, 'status': 'PENDING', 'created_at': 1781400730.4213612, 'task_id': 'dielv_hd65_test'}
+2026-06-14 09:32:10.428[webapp][debug][/data/ymq/wan22-service/ah.py:20]Wan22Tasks processing: type=generate_video
+2026-06-14 09:32:12.494[webapp][exception][/data/ymq/wan22-service/workers/generate.py:129]Generation error: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 7.69 MiB is free. Including non-PyTorch memory, this process has 23.50 GiB memory in use. Of the allocated memory 22.85 GiB is allocated by PyTorch, and 114.95 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+Traceback (most recent call last):
+  File "/data/ymq/wan22-service/workers/generate.py", line 104, in run_generate
+    result = await loop.run_in_executor(None, _infer)
+  File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
+    result = self.fn(*self.args, **self.kwargs)
+  File "/data/ymq/wan22-service/workers/generate.py", line 93, in _infer
+    return engine.generate(
+  File "/data/ymq/wan22-service/workers/wan22_wrapper.py", line 190, in generate
+    video = self.pipeline.generate(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 229, in generate
+    return self.t2v(
+  File "/data/ymq/wan22-service/repo/wan/textimage2video.py", line 302, in t2v
+    self.text_encoder.model.to(self.device)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+  [Previous line repeated 1 more time]
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/data/ymq/wan22-service/py3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 23.52 GiB of which 7.69 MiB is free. Including non-PyTorch memory, this process has 23.50 GiB memory in use. Of the allocated memory 22.85 GiB is allocated by PyTorch, and 114.95 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
+
+2026-06-14 09:32:12.496[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:187][worker 0] finished dielv_hd65_test
+2026-06-14 09:34:27.514[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:39:27.515[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:44:27.519[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:49:27.523[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:54:27.525[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 09:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 09:59:27.525[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:04:27.530[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:09:27.532[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:14:27.533[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:19:27.538[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:24:27.542[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:29:27.544[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:34:27.544[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:39:27.548[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:44:27.551[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:49:27.558[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:54:27.562[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 10:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 10:59:27.566[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:04:27.568[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:09:27.568[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:14:27.572[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:19:27.575[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:24:27.576[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:29:27.581[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:34:27.585[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:39:27.586[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:44:27.585[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:49:27.589[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:54:27.592[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 11:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 11:59:27.593[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:04:27.598[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:09:27.600[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:14:27.602[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:19:27.603[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:24:27.606[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:29:27.609[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:34:27.609[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:39:27.614[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:44:27.617[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:49:27.619[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:54:27.620[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 12:58:08.762[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 12:59:27.623[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:04:27.626[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:09:27.627[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:14:27.631[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:19:27.635[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:24:27.637[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:29:27.638[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:34:27.642[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:39:27.645[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:44:27.646[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:49:27.651[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:54:27.654[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 13:58:08.763[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 13:59:27.656[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:04:27.656[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:09:27.660[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:14:27.663[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:19:27.665[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:24:27.669[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:29:27.673[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:34:27.675[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:39:27.675[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:44:27.679[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:49:27.682[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:54:27.683[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 14:58:08.763[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 14:59:27.688[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:04:27.692[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:09:27.694[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:14:27.694[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:19:27.698[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:24:27.701[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:29:27.702[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:34:27.708[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:39:27.711[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:44:27.713[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:49:27.714[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:54:27.719[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 15:58:08.764[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:39]cleanup_expired_tasks() called ...
+2026-06-14 15:59:27.722[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:04:27.724[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:09:27.729[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:14:27.732[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:19:27.734[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
+2026-06-14 16:24:27.735[webapp][debug][/data/ymq/wan22-service/py3/lib/python3.10/site-packages/longtasks/longtasks.py:104]recover_stuck_tasks() called
diff --git a/start.sh b/start.sh
index 60c3ecd..d2aaf6a 100755
--- a/start.sh
+++ b/start.sh
@@ -1,5 +1,9 @@
 #!/bin/bash
 cd ~/wan22-service
-export WAN22_GPU_ID=${WAN22_GPU_ID:-2}
-nohup /share/vllm-0.8.5/bin/python ah.py > wan22-service.log 2>&1 &
+WAN22_GPU_ID=2
+export WAN22_GPU_ID
+export CUDA_VISIBLE_DEVICES=2
+export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
+export PYTHONPATH=/data/ymq/wan22-service/repo:~/Win2.2
+nohup py3/bin/python ah.py > nohup.out 2>&1 &
 echo "wan22-service started, PID: $!, GPU: $WAN22_GPU_ID"
diff --git a/start_multi.sh b/start_multi.sh
new file mode 100755
index 0000000..04135d7
--- /dev/null
+++ b/start_multi.sh
@@ -0,0 +1,20 @@
+#!/bin/bash
+cd ~/wan22-service
+
+# 先停止所有现有实例
+pkill -f 'python ah.py' 2>/dev/null
+sleep 2
+
+# 启动 4 个实例，分别用 GPU 1,2,3,4
+for GPU_ID in 1 2 3 4; do
+    export WAN22_GPU_ID=$GPU_ID
+    export CUDA_VISIBLE_DEVICES=$GPU_ID
+    export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
+    export PYTHONPATH=/data/ymq/wan22-service/repo:~/Win2.2
+
+    nohup py3/bin/python ah.py > nohup_gpu${GPU_ID}.out 2>&1 &
+    echo "Started wan22-service instance on GPU $GPU_ID, PID: $!"
+    sleep 1
+done
+
+echo "All instances started. Check status with: ps aux | grep 'python ah.py'"
diff --git a/workers/wan22_wrapper.py b/workers/wan22_wrapper.py
index 903d839..f6c15e5 100644
--- a/workers/wan22_wrapper.py
+++ b/workers/wan22_wrapper.py
@@ -77,7 +77,28 @@ class Wan22:
 
         self.pipeline = self._build_pipeline()
 
+    # =========================
+    # pipeline init
+    # 注意检查顺序：ti2v 必须在 t2v/i2v 之前检查
+    # 因为 "ti2v" 同时包含 "t2v" 和 "i2v" 子串
+    # =========================
     def _build_pipeline(self):
+        if "s2v" in self.task:
+            return wan.WanS2V(
+                config=self.cfg,
+                checkpoint_dir=self.ckpt_dir,
+                device_id=self.device_id,
+                rank=0,
+            )
+
+        if "ti2v" in self.task:
+            return wan.WanTI2V(
+                config=self.cfg,
+                checkpoint_dir=self.ckpt_dir,
+                device_id=self.device_id,
+                rank=0,
+            )
+
         if "t2v" in self.task:
             return wan.WanT2V(
                 config=self.cfg,
@@ -94,24 +115,11 @@ class Wan22:
                 rank=0,
             )
 
-        if "ti2v" in self.task:
-            return wan.WanTI2V(
-                config=self.cfg,
-                checkpoint_dir=self.ckpt_dir,
-                device_id=self.device_id,
-                rank=0,
-            )
-
-        if "s2v" in self.task:
-            return wan.WanS2V(
-                config=self.cfg,
-                checkpoint_dir=self.ckpt_dir,
-                device_id=self.device_id,
-                rank=0,
-            )
-
         raise ValueError(self.task)
 
+    # =========================
+    # prompt expand
+    # =========================
     def _expand(self, prompt, image=None):
         if not self.use_prompt_extend:
             return prompt
@@ -119,6 +127,9 @@ class Wan22:
         out = self.prompt_expander(prompt, image=image)
         return out.prompt if out.status else prompt
 
+    # =========================
+    # OpenAI response packer
+    # =========================
     def _pack(self, prompt, video_path, seed):
         return {
             "id": f"wan_{uuid.uuid4().hex}",
@@ -129,10 +140,13 @@ class Wan22:
             "seed": seed,
         }
 
+    # =========================
+    # 主入口（统一 + 串行锁）
+    # 注意 generate() 内的检查顺序必须与 _build_pipeline 一致
+    # =========================
     def generate(self, **kwargs):
         """
-        OpenAI-style unified entry.
-        全局串行锁保证GPU安全。
+        OpenAI-style unified entry
         """
         with _GLOBAL_INFER_LOCK:
 
@@ -149,52 +163,7 @@ class Wan22:
 
             seed = self.seed
 
-            if "t2v" in self.task:
-                video = self.pipeline.generate(
-                    prompt,
-                    size=size_cfg,
-                    frame_num=kwargs.get("frame_num"),
-                    shift=kwargs.get("shift"),
-                    sample_solver=kwargs.get("solver", "unipc"),
-                    sampling_steps=kwargs.get("steps"),
-                    guide_scale=kwargs.get("guide_scale"),
-                    seed=seed,
-                    offload_model=self.offload_model,
-                )
-
-            elif "i2v" in self.task:
-                img = Image.open(image_path).convert("RGB")
-                video = self.pipeline.generate(
-                    prompt,
-                    img,
-                    size=size_cfg,
-                    max_area=MAX_AREA_CONFIGS[size],
-                    frame_num=kwargs.get("frame_num"),
-                    shift=kwargs.get("shift"),
-                    sample_solver=kwargs.get("solver", "unipc"),
-                    sampling_steps=kwargs.get("steps"),
-                    guide_scale=kwargs.get("guide_scale"),
-                    seed=seed,
-                    offload_model=self.offload_model,
-                )
-
-            elif "ti2v" in self.task:
-                img = Image.open(image_path).convert("RGB")
-                video = self.pipeline.generate(
-                    prompt,
-                    img=img,
-                    size=size_cfg,
-                    max_area=MAX_AREA_CONFIGS[size],
-                    frame_num=kwargs.get("frame_num"),
-                    shift=kwargs.get("shift"),
-                    sample_solver=kwargs.get("solver", "unipc"),
-                    sampling_steps=kwargs.get("steps"),
-                    guide_scale=kwargs.get("guide_scale"),
-                    seed=seed,
-                    offload_model=self.offload_model,
-                )
-
-            elif "s2v" in self.task:
+            if "s2v" in self.task:
                 video = self.pipeline.generate(
                     input_prompt=prompt,
                     ref_image_path=image_path,
@@ -207,15 +176,60 @@ class Wan22:
                     pose_video=kwargs.get("pose_video"),
                     max_area=MAX_AREA_CONFIGS[size],
                     infer_frames=kwargs.get("infer_frames", 80),
-                    shift=kwargs.get("shift"),
+                    shift=kwargs.get("shift") or 5.0,
                     sample_solver=kwargs.get("solver", "unipc"),
-                    sampling_steps=kwargs.get("steps"),
-                    guide_scale=kwargs.get("guide_scale"),
+                    sampling_steps=kwargs.get("steps") or 30,
+                    guide_scale=kwargs.get("guide_scale") or 5.0,
                     seed=seed,
                     offload_model=self.offload_model,
                     init_first_frame=kwargs.get("start_from_ref", False),
                 )
 
+            elif "ti2v" in self.task:
+                img = Image.open(image_path).convert("RGB") if image_path else None
+                video = self.pipeline.generate(
+                    prompt,
+                    img=img,
+                    size=size_cfg,
+                    max_area=MAX_AREA_CONFIGS[size],
+                    frame_num=kwargs.get("frame_num") or 81,
+                    shift=kwargs.get("shift") or 5.0,
+                    sample_solver=kwargs.get("solver", "unipc"),
+                    sampling_steps=kwargs.get("steps") or 30,
+                    guide_scale=kwargs.get("guide_scale") or 5.0,
+                    seed=seed,
+                    offload_model=self.offload_model,
+                )
+
+            elif "t2v" in self.task:
+                video = self.pipeline.generate(
+                    prompt,
+                    size=size_cfg,
+                    frame_num=kwargs.get("frame_num") or 81,
+                    shift=kwargs.get("shift") or 5.0,
+                    sample_solver=kwargs.get("solver", "unipc"),
+                    sampling_steps=kwargs.get("steps") or 30,
+                    guide_scale=kwargs.get("guide_scale") or 5.0,
+                    seed=seed,
+                    offload_model=self.offload_model,
+                )
+
+            elif "i2v" in self.task:
+                img = Image.open(image_path).convert("RGB")
+                video = self.pipeline.generate(
+                    prompt,
+                    img,
+                    size=size_cfg,
+                    max_area=MAX_AREA_CONFIGS[size],
+                    frame_num=kwargs.get("frame_num") or 81,
+                    shift=kwargs.get("shift") or 5.0,
+                    sample_solver=kwargs.get("solver", "unipc"),
+                    sampling_steps=kwargs.get("steps") or 30,
+                    guide_scale=kwargs.get("guide_scale") or 5.0,
+                    seed=seed,
+                    offload_model=self.offload_model,
+                )
+
             else:
                 raise ValueError(self.task)