modelscope / modelscope/DiffSynth-Studio
Wan2.2 T2V 14B， 训练vae 部分，cache_x 和 x 维度不匹配
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- Dominant language
- Python
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Description
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
No files, tests, entry points, traceback, or reproduction steps are named; the issue only provides screenshots of a Wan2.2 T2V 14B VAE-training dimension mismatch. Start by obtaining the full error and reproduction setup, then locate the VAE training path that produces cache_x and x. Done means the mismatch is explained and the training path works with appropriate regression coverage.
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
- 20/100