modelscope / modelscope/DiffSynth-Studio
Wan2.2 T2V 14b and I2V 14B train OOM 单机8 卡A100
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- Dominant language
- Python
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Description
在单机8卡的A100上，运行wan2.2 T2V 14b的full train脚本，爆显存，程序直接被自动kill
Contributor guide
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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
Start by reproducing the Wan2.2 T2V 14b full-training run on eight A100 GPUs and inspect the attached OOM evidence and termination behavior. The payload does not name a script, file, configuration, or expected memory target, so identify those before defining a fix. Done means the reported training run no longer runs out of memory or is automatically killed.
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