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/q8/vae_decoder.safetensors from SceneWorks/ltx-2.5-mlx: direct link, hf CLI and curl.
- Browser
- Download file 814 MB
-
https://huggingface.co/SceneWorks/ltx-2.5-mlx/resolve/main/dev/q8/vae_decoder.safetensors
- Command line
-
hf download hf://SceneWorks/ltx-2.5-mlx/dev/q8/vae_decoder.safetensors
-
curl -L -o vae_decoder.safetensors https://huggingface.co/SceneWorks/ltx-2.5-mlx/resolve/main/dev/q8/vae_decoder.safetensors
814 MB
- Xet hash:
- ada163795f1578b60be4ee6d1b5f41ac145eb45ba2b398d8bcb0bc81b3b03697
- Size of remote file:
- 814 MB
- SHA256:
- 2333a1e339b35c93872b8d25f3b3df5100212683ea8e94f3224cffa00fc354ab
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.