fix: wan2.6→wan2.7 作为推荐默认模型
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@ -21,13 +21,13 @@ logger = logging.getLogger("pipeline.cost_estimator")
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# Model pricing configuration — llmage v1 video models
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MODEL_PRICING = {
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"wan2.6-t2v": {
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"name": "通义万象 WAN 2.6 (T2V)",
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"wan2.7-t2v": {
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"name": "通义万象 WAN 2.7 (T2V) ⭐推荐",
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"price_per_second": 0.05,
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"quality_score": 8.5,
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"generation_speed": "medium",
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"description": "高质量文生视频,支持5-15秒",
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"features": ["T2V"],
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"description": "最新版文生视频,质量更高",
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"features": ["T2V", "I2V", "Ref2V"],
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"recommended_for": ["quality", "professional"],
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},
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"happyhorse-1.0-t2v": {
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@ -604,7 +604,7 @@ async def handle_scene_video_generating(tenant_id, task_id, step_name, input_dat
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"""通过 /v1/video/generations 生成场景视频,模型由客户选择。"""
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work_dir = _task_dir(task_id)
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storyboard = None
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selected_model = "wan2.6-t2v" # 默认
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selected_model = "wan2.7-t2v" # 默认
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for dep_output in input_data.values():
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if isinstance(dep_output, dict):
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if dep_output.get("storyboard"): storyboard = dep_output["storyboard"]
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