thu-ml / thu-ml/TurboDiffusion
merge逻辑
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- Dominant language
- Python
- Stars
- 3.7k
- Forks
- 277
- Avg merge
- 2h 57m
- Merged PRs (30d)
- 2
Description
作者可以说一下merge的逻辑吗，怎么把wan2.1 T2V 的训练权重merge到 wan2.2 上去的
Contributor guide
No contributing guide indexed for this repository
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 files, tests, or entry points are named. Start by locating the implementation and training configuration for the Wan2.1 T2V and Wan2.2 weight merge, then trace how the conversion is performed. Done means documenting the merge logic and the required assumptions clearly enough for users to reproduce it.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100