modelscope / modelscope/DiffSynth-Studio
wan-anmiante多卡分布式训练支持？
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- Dominant language
- Python
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- Merged PRs (30d)
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Description
L20等旧的架构的小显存<80GB的显卡似乎在fp8的情况下没办法做到多卡的分布式训练，不知道有什么方法？或者能不能使用int8？
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The issue names Wan-Animate, FP8, INT8, and multi-card distributed training but no files, tests, or entry points. Locate the Wan-Animate training entry point and its distributed configuration first, then determine the expected low-memory behavior and how support would be validated; the issue currently does not define a clear done condition.
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
- 25/100