modelscope / modelscope/DiffSynth-Studio
The full-parameter training H20 of Flux Konetxt shows OOM
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- Python
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Description
I trained with the default configuration of Flux Kontext full parameter training (2 H20), and the OOM occurred in less than a minute after the code was executed for training. Maybe I can ask why this is?
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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 default Flux Kontext full-parameter training configuration described in the issue on two H20 GPUs and inspect when memory is exhausted. Done means identifying the cause of the out-of-memory failure and documenting the required configuration or resources.
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