Instructions to use camenduru/VideoComposer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use camenduru/VideoComposer with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:camenduru/VideoComposer') tokenizer = open_clip.get_tokenizer('hf-hub:camenduru/VideoComposer') - Notebooks
- Google Colab
- Kaggle
Download table5_pidinet.pth from camenduru/VideoComposer: direct link, hf CLI and curl.
- Browser
- Download file 2.87 MB
-
https://huggingface.co/camenduru/VideoComposer/resolve/main/table5_pidinet.pth
- Command line
-
hf download hf://camenduru/VideoComposer/table5_pidinet.pth
-
curl -L -o table5_pidinet.pth https://huggingface.co/camenduru/VideoComposer/resolve/main/table5_pidinet.pth
2.87 MB
- Xet hash:
- 9a530ed2d9dde1c54b2f77c0749f94b0c9e5afde4ceaee8d2394499f6491092c
- Size of remote file:
- 2.87 MB
- SHA256:
- 80860ac267258b5f27486e0ef152a211d0b08120f62aeb185a050acc30da486c
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