Instructions to use dgrauet/ltx-2.3-mlx-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dgrauet/ltx-2.3-mlx-q8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ltx-2.3-mlx-q8 dgrauet/ltx-2.3-mlx-q8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 626 Bytes
59a8c2d e7d5d23 ebfcfb8 a5543ab ebfcfb8 59a8c2d b6ffbaf 59a8c2d aa3fc51 59a8c2d b6ffbaf 59a8c2d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"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"
],
"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."
},
"quantized": true,
"quantization_bits": 8
} |