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
Download dev/q8/vae_diffusion_decoder.safetensors from SceneWorks/ltx-2.5-mlx: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/SceneWorks/ltx-2.5-mlx/resolve/main/dev/q8/vae_diffusion_decoder.safetensors
- Command line
-
hf download hf://SceneWorks/ltx-2.5-mlx/dev/q8/vae_diffusion_decoder.safetensors
-
curl -L -o vae_diffusion_decoder.safetensors https://huggingface.co/SceneWorks/ltx-2.5-mlx/resolve/main/dev/q8/vae_diffusion_decoder.safetensors
443 MB
- Xet hash:
- 8a56ab787a575769c623bfebd2861c3e1a47c97abab420fd22c76a57a95392ff
- Size of remote file:
- 443 MB
- SHA256:
- 1a43b0e54ae0ce0ddbcec33a4a21d476540d20fc776df6e0ab61d7eb2bcf35b4
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