Instructions to use FrankDase/LTX-2.3-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FrankDase/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 FrankDase/LTX-2.3-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
| { | |
| "attn_resolutions": [], | |
| "attn_type": "vanilla", | |
| "causality_axis": "height", | |
| "ch": 128, | |
| "ch_mult": [ | |
| 1, | |
| 2, | |
| 4 | |
| ], | |
| "dropout": 0.0, | |
| "give_pre_end": false, | |
| "is_causal": true, | |
| "mel_bins": 64, | |
| "mel_hop_length": 160, | |
| "mid_block_add_attention": false, | |
| "norm_type": "pixel", | |
| "num_res_blocks": 2, | |
| "out_ch": 2, | |
| "resamp_with_conv": true, | |
| "resolution": 256, | |
| "sample_rate": 16000, | |
| "tanh_out": false, | |
| "z_channels": 8 | |
| } | |