modelscope / modelscope/DiffSynth-Studio
support for wan2.1 mini-batch finetune
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- Python
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Description
Hi,
When finetune wan2.1 on my own dataset, I noted that the current finetuning script doesn't support batch training. It seems that the code only support 1sample/GPU. Like the flow matching schedule, noise generation, etc.
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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 with the current Wan2.1 finetuning script and trace how batch size, the flow-matching schedule, and noise generation are handled. Done means the script can finetune with more than one sample per GPU, including correct batch behavior for these steps.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100