modelscope / modelscope/DiffSynth-Studio
wan2.1如何进行多机训练
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- Dominant language
- Python
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Description
请问如果我要跑多机训练的话，应该怎么适配代码，大佬们可以给点指导吗
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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
The issue asks how to adapt Wan2.1 for multi-machine training but names no files, tests, entry points, or acceptance criteria. Start by locating the Wan2.1 training entry point and existing distributed-training support, then define the required configuration and a reproducible multi-machine validation path before making changes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100