Instructions to use CallMeEich/ltx-2.3-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use CallMeEich/ltx-2.3-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ltx-2.3-mlx CallMeEich/ltx-2.3-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| { | |
| "format": "split", | |
| "model_version": "2.3.0", | |
| "components": [ | |
| "connector", | |
| "vae_decoder", | |
| "vae_encoder", | |
| "audio_vae", | |
| "vocoder", | |
| "spatial_upscaler_x2_v1_1", | |
| "spatial_upscaler_x1_5_v1_0", | |
| "temporal_upscaler_x2_v1_0" | |
| ], | |
| "transformer_variants": [ | |
| "distilled", | |
| "dev" | |
| ], | |
| "lora": [ | |
| "ltx-2.3-22b-distilled-lora-384.safetensors", | |
| "ltx-2.3-22b-distilled-lora-384-1.1.safetensors" | |
| ], | |
| "source": "Lightricks/LTX-2.3", | |
| "notes": { | |
| "vocoder": "Also contains BWE (bandwidth extension) generator weights \u2014 upsample layers [6,5,2,2,2] (240x) and mel_stft parameters." | |
| } | |
| } |