modelscope / modelscope/DiffSynth-Studio
H20 96G显存 qwen-image-edit lora微调为什么还是报错
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- Dominant language
- Python
- Stars
- 13.1k
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- Merged PRs (30d)
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Description
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 18.00 MiB. GPU has a total capacity of 95.00 GiB of which 6.50 MiB is free. Process 3927658 has 73.02 GiB memory in use. Process 4105349 has 21.96 GiB memory in use. Of the allocated memory 21.65 GiB is allocated by PyTorch, and 1.51 MiB is reserved by PyTorch but unallocated.
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
The report contains only a CUDA out-of-memory traceback and does not identify a training file, command, configuration, or test. Start by reproducing the qwen-image-edit LoRA fine-tuning run while checking the two listed GPU processes and memory allocation; done means identifying the cause of the 96 GiB exhaustion and documenting or validating a reproducible fix.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100