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
| { | |
| "format": "split", | |
| "model_version": "2.5.0", | |
| "variant": "dev", | |
| "tier": "bf16", | |
| "quantized": false, | |
| "quantization_bits": 4, | |
| "quantization_group_size": 64, | |
| "components": [ | |
| "transformer", | |
| "text_encoder", | |
| "connector", | |
| "vae_decoder", | |
| "vae_encoder", | |
| "diffusion_vae_encoder", | |
| "vae_diffusion_decoder", | |
| "audio_vae", | |
| "vocoder", | |
| "spatial_upsampler", | |
| "temporal_upsampler", | |
| "duration_head" | |
| ], | |
| "component_detail": [ | |
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| "dense_reason": "dense-tier", | |
| "dense_reason_detail": "the bf16 tier is dense by definition" | |
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| "name": "text_encoder", | |
| "file": "text_encoder.safetensors", | |
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| "file": "audio_vae.safetensors", | |
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