modelscope / modelscope/DiffSynth-Studio
kontext lora finetuning OOM
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- Dominant language
- Python
- Stars
- 13.1k
- Forks
- 1.3k
- Avg merge
- 13h 12m
- Merged PRs (30d)
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Description
在h20上，微调kontext lora出现oom，有方法可以解决吗
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 file, test, or entry point is named. Start by locating the Kontext LoRA fine-tuning workflow and reproducing the out-of-memory failure on an H20 with the reported configuration. Done means identifying a supported configuration or confirmed mitigation and documenting that training completes without OOM.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100