modelscope / modelscope/DiffSynth-Studio
Wan2.2-S2V-14B Tea Cache coefficients
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 13.1k
- Forks
- 1.3k
- Avg merge
- 13h 12m
- Merged PRs (30d)
- 45
Description
Hi developers,
thanks for working on such a nice platform!
I'm wondering if there's any plan to provide the Tea Cache support for the Wan2.2-S2V-14B model.
I believe this involves computing the 4 polynomial coefficients for the Tea Cache, right?
Best,
Weipeng
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
The issue names Wan2.2-S2V-14B and Tea Cache but provides no files, tests, or entry points. Start by locating the model integration and existing Tea Cache support, then determine the required coefficients and define tests that demonstrate support for this model.
Written by the indexing model from the issue text.
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
- 25/100