From bee01f6c3ea676bcb16a465392e1ade04c60f091 Mon Sep 17 00:00:00 2001 From: yumoqing Date: Mon, 6 Jul 2026 17:23:57 +0800 Subject: [PATCH] =?UTF-8?q?fix:=20wan2.6=E2=86=92wan2.7=20=E4=BD=9C?= =?UTF-8?q?=E4=B8=BA=E6=8E=A8=E8=8D=90=E9=BB=98=E8=AE=A4=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- app/cost_estimator.py | 8 ++++---- app/ktv_adapter.py | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/app/cost_estimator.py b/app/cost_estimator.py index 73b153f..64b465e 100644 --- a/app/cost_estimator.py +++ b/app/cost_estimator.py @@ -21,13 +21,13 @@ logger = logging.getLogger("pipeline.cost_estimator") # Model pricing configuration — llmage v1 video models MODEL_PRICING = { - "wan2.6-t2v": { - "name": "通义万象 WAN 2.6 (T2V)", + "wan2.7-t2v": { + "name": "通义万象 WAN 2.7 (T2V) ⭐推荐", "price_per_second": 0.05, "quality_score": 8.5, "generation_speed": "medium", - "description": "高质量文生视频，支持5-15秒", - "features": ["T2V"], + "description": "最新版文生视频，质量更高", + "features": ["T2V", "I2V", "Ref2V"], "recommended_for": ["quality", "professional"], }, "happyhorse-1.0-t2v": { diff --git a/app/ktv_adapter.py b/app/ktv_adapter.py index 1de0807..1182666 100644 --- a/app/ktv_adapter.py +++ b/app/ktv_adapter.py @@ -604,7 +604,7 @@ async def handle_scene_video_generating(tenant_id, task_id, step_name, input_dat """通过 /v1/video/generations 生成场景视频，模型由客户选择。""" work_dir = _task_dir(task_id) storyboard = None - selected_model = "wan2.6-t2v" # 默认 + selected_model = "wan2.7-t2v" # 默认 for dep_output in input_data.values(): if isinstance(dep_output, dict): if dep_output.get("storyboard"): storyboard = dep_output["storyboard"]