modelscope / modelscope/DiffSynth-Studio
Wan2.1文生视频 teacache加速，生成视频动态效果强试，会出现闪频
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- Dominant language
- Python
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Description
tea_cache_l1_thresh=0.2,
tea_cache_model_id="Wan2.1-T2V-14B",
prompt=”一艘小船正勇敢地乘风破浪前行。蔚蓝的大海波涛汹涌，白色的浪花拍打着船身，但小船毫不畏惧，坚定地驶向远方。阳光洒在水面上，闪烁着金色的光芒，为这壮丽的场景增添了一抹温暖。镜头拉近，可以看到船上的旗帜迎风飘扬，象征着不屈的精神与冒险的勇气。这段画面充满力量，激励人心，展现了面对挑战时的无畏与执着。“
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No source file, test, or entry point is named. Reproduce the Wan2.1 text-to-video case with tea_cache_l1_thresh=0.2 and model_id="Wan2.1-T2V-14B", using the supplied prompt and attachment; compare accelerated and non-accelerated output to identify the flashing behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100