Instructions to use audiohacking/ltx-2.3-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use audiohacking/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 audiohacking/ltx-2.3-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
File size: 1,159 Bytes
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library_name: mlx
license: other
base_model: Lightricks/LTX-2.3
tags:
- mlx
- mlx-forge
- apple-silicon
- safetensors
---
# audiohacking/ltx-2.3-mlx
MLX format conversion of [Lightricks/LTX-2.3 v1.1](https://huggingface.co/Lightricks/LTX-2.3).
Converted with [mlx-forge](https://github.com/dgrauet/mlx-forge).
- **Transformer variants:** distilled, dev
- **Model version:** 2.3.0
## 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.safetensors` (7.08 GB)
- `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` (579.00 B)
- `temporal_upscaler_x2_v1_0.safetensors` (249.81 MB)
- `temporal_upscaler_x2_v1_0_config.json` (273.00 B)
- `transformer-dev.safetensors` (35.38 GB)
- `transformer-distilled.safetensors` (35.38 GB)
- `vae_decoder.safetensors` (776.62 MB)
- `vae_encoder.safetensors` (608.33 MB)
- `vocoder.safetensors` (246.35 MB)
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