huggingface / huggingface/diffusers
Meituan Longcat Video
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 34.5k
- Forks
- 7.3k
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 91
Description
Model/Pipeline/Scheduler description
https://huggingface.co/meituan-longcat/LongCat-Video
https://github.com/meituan-longcat/LongCat-Video
https://meituan-longcat.github.io/LongCat-Video/
Video generation model. Supports T2V, I2V and video continuation
Open source status
- The model implementation is available.
- The model weights are available (Only relevant if addition is not a scheduler).
Provide useful links for the implementation
https://huggingface.co/meituan-longcat/LongCat-Video
https://github.com/meituan-longcat/LongCat-Video
Contributor guide
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 LongCat-Video implementation and model documentation linked in the issue, then compare its T2V, I2V, and video-continuation capabilities with existing diffusers integrations. Done means the model is integrated with the supported workflows and has corresponding coverage; the issue does not name specific repository files or tests.
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
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100