huggingface / huggingface/diffusers
Wan 2.1 CineScale - up to 4K
- Dominant language
- Python
- Stars
- 34.5k
- Forks
- 7.3k
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 91
Description
### Model/Pipeline/Scheduler description
Wan 2.1 up to 4k
https://eyeline-labs.github.io/CineScale/
### Open source status
- [x] The model implementation is available.
- [x] The model weights are available (Only relevant if addition is not a scheduler).
### Provide useful links for the implementation
https://github.com/Eyeline-Labs/CineScale
Contributor guide
Research direction
Start by reviewing the CineScale project at https://github.com/Eyeline-Labs/CineScale and its model description at https://eyeline-labs.github.io/CineScale/, then compare the implementation with diffusers' existing Wan 2.1 integration conventions. Done means the model is integrated into diffusers with the expected usage and validation coverage established by the project.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100