Instructions to use yetter-ai/SCAIL-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SCAIL-2
How to use yetter-ai/SCAIL-2 with SCAIL-2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| license: other | |
| tags: | |
| - scail-2 | |
| - video-to-video | |
| - character-animation | |
| # SCAIL-2 | |
| Converted SCAIL-2 assets packaged for Yetter Executor. | |
| Expected layout for runtime loading: | |
| - `SCAIL-2.safetensors`: converted SCAIL-2 DiT checkpoint. | |
| - `configs/config-14b.json`: SCAIL-2 model config. | |
| - `checkpoints/SCAIL-2/`: Wan VAE, CLIP, and UMT5 text encoder assets. | |
| - `pretrained_weights/sam3.pt`: SAM3 weights for internal e2e preprocessing. | |
| Primary app ids: | |
| - `ytr-ai/zai/scail-2/v2v/move` | |
| - `ytr-ai/zai/scail-2/v2v/replace` | |