Instructions to use CallMeEich/ltx-2.3-mlx-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use CallMeEich/ltx-2.3-mlx-q4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ltx-2.3-mlx-q4 CallMeEich/ltx-2.3-mlx-q4
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
CallMeEich/ltx-2.3-mlx-q4
MLX format conversion of Lightricks/LTX-2.3.
Converted with mlx-forge.
- Transformer variants: distilled, dev
- Model version: 2.3.0
- Quantization: int4
Files
audio_vae.safetensors(101.57 MB)config.json(951.00 B)connector.safetensors(5.91 GB)embedded_config.json(7.06 KB)ltx-2.3-22b-distilled-lora-384-1.1.safetensors(7.08 GB)ltx-2.3-22b-distilled-lora-384.safetensors(7.08 GB)quantize_config.json(100.00 B)spatial_upscaler_x1_5_v1_0.safetensors(1.02 GB)spatial_upscaler_x1_5_v1_0_config.json(274.00 B)spatial_upscaler_x2_v1_1.safetensors(949.62 MB)spatial_upscaler_x2_v1_1_config.json(275.00 B)split_model.json(680.00 B)temporal_upscaler_x2_v1_0.safetensors(249.81 MB)temporal_upscaler_x2_v1_0_config.json(273.00 B)transformer-dev.safetensors(10.54 GB)transformer-distilled.safetensors(10.54 GB)vae_decoder.safetensors(776.62 MB)vae_encoder.safetensors(608.33 MB)vocoder.safetensors(246.35 MB)
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Model tree for CallMeEich/ltx-2.3-mlx-q4
Base model
Lightricks/LTX-2.3