Instructions to use SceneWorks/ltx-2.3-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/ltx-2.3-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ltx-2.3-mlx SceneWorks/ltx-2.3-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- dc4e0566798981f708c2fd0564e202c48c13ee2f484644c1a0256babd082077f
- Size of remote file:
- 5.11 GB
- SHA256:
- 71666d602253574a56bb07719d5d8a958baa9a1373c2c4255ebbec1fc796bc45
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.