Text-to-Video
MLX
Safetensors
candle
apple-silicon
cuda
ltx-2
ltx-video
image-to-video
audio-video-generation
Instructions to use SceneWorks/ltx-2.5-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/ltx-2.5-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ltx-2.5-mlx SceneWorks/ltx-2.5-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 7f1440ce402331787fb2d1458ef2d3b681cfcd78929bf4dbf04f7cc90af99b2d
- Size of remote file:
- 834 MB
- SHA256:
- 56f3fbc1a91e8296869b86c9fe8cf04f6d5fe08054811f8f2b67278546dc9ea6
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