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
| { | |
| "model_version": "2.3.0", | |
| "is_v2": true, | |
| "model_type": "AudioVideo", | |
| "num_attention_heads": 32, | |
| "attention_head_dim": 128, | |
| "in_channels": 128, | |
| "out_channels": 128, | |
| "num_layers": 48, | |
| "cross_attention_dim": 4096, | |
| "caption_channels": null, | |
| "apply_gated_attention": true, | |
| "audio_num_attention_heads": 32, | |
| "audio_attention_head_dim": 64, | |
| "audio_in_channels": 128, | |
| "audio_out_channels": 128, | |
| "audio_cross_attention_dim": 2048, | |
| "positional_embedding_theta": 10000.0, | |
| "positional_embedding_max_pos": [ | |
| 20, | |
| 2048, | |
| 2048 | |
| ], | |
| "audio_positional_embedding_max_pos": [ | |
| 20 | |
| ], | |
| "timestep_scale_multiplier": 1000, | |
| "av_ca_timestep_scale_multiplier": 1000, | |
| "norm_eps": 1e-06, | |
| "connector_positional_embedding_max_pos": [ | |
| 4096 | |
| ], | |
| "connector_rope_type": "SPLIT", | |
| "variants": { | |
| "distilled": { | |
| "cross_attention_adaln": true | |
| }, | |
| "dev": { | |
| "cross_attention_adaln": true | |
| } | |
| } | |
| } |