thu-ml / thu-ml/TurboDiffusion

wan2.1-vace

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Dominant language
Python
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Description

请问支持wan2.1的vace模型加速吗

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue does not name a file, test, or entry point; it only asks whether Wan2.1 VACE acceleration is supported. First clarify the expected model, acceleration path, and acceptance criteria with the maintainers, then locate the relevant video-diffusion and inference-acceleration entry points. Done would mean documented or tested support for the requested model.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning, performance
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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