modelscope / modelscope/DiffSynth-Studio
wan2.1 vae finetuning script
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- Python
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Description
Hi,
I finetuned wan2.1-1.3b-t2v on my own dataset. I use vae to encode/decode the original video and compare the original video with reconstructed video. I found that psnr is around 26, which is not very satisfying. I guess I need to finetune vae on my own datasets for few steps. But I can't find the finetuning script for wan2.1 vae.
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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 locating the Wan2.1 VAE implementation and any existing training or finetuning entry points in the repository. Determine the expected dataset, training objectives, configuration, and validation workflow before defining what a complete finetuning script should provide; the issue does not name files or tests.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100