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] hf download SceneWorks/ltx-2.5-mlx --local-dir ltx-2.5-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download dev/q4/diffusion_vae_encoder.safetensors from SceneWorks/ltx-2.5-mlx: direct link, hf CLI and curl.
- Browser
- Download file 638 MB
-
https://huggingface.co/SceneWorks/ltx-2.5-mlx/resolve/main/dev/q4/diffusion_vae_encoder.safetensors
- Command line
-
hf download hf://SceneWorks/ltx-2.5-mlx/dev/q4/diffusion_vae_encoder.safetensors
-
curl -L -o diffusion_vae_encoder.safetensors https://huggingface.co/SceneWorks/ltx-2.5-mlx/resolve/main/dev/q4/diffusion_vae_encoder.safetensors
638 MB
- Xet hash:
- cb0bee456888672e3d71000bf335e16a1e54a49d8da49cbefbe810b215d4de5e
- Size of remote file:
- 638 MB
- SHA256:
- 20221757af68bcc7ec5913b9cd25dea664ec97f9314d1fe218d3a785045092f4
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