Instructions to use dgrauet/ltx-2.5-mlx-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dgrauet/ltx-2.5-mlx-q8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ltx-2.5-mlx-q8 dgrauet/ltx-2.5-mlx-q8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
dgrauet/ltx-2.5-mlx-q8
Int8 quantization (group_size 64, transformer block and text-encoder Linear weights) of dgrauet/ltx-2.5-mlx, the MLX conversion of Lightricks/LTX-2.5.
Quantized with mlx-forge
(mlx-forge convert ltx-2.5 --quantize --bits 8).
- Transformer variants: dev, distilled
License
These weights are a derivative work and are distributed under the same terms as
the model they were converted from. A verbatim copy ships with them as
LICENSE, and the upstream text is at https://github.com/Lightricks/LTX-2/blob/main/LICENSE-2_x.
Use of these weights is subject to it, including any restrictions it attaches.
Related Projects
- bf16 variant: https://huggingface.co/dgrauet/ltx-2.5-mlx
- q4 variant: https://huggingface.co/dgrauet/ltx-2.5-mlx-q4
LoRAs
ltx-2.5-22b-distilled-lora-450-bf16.safetensors
Files
LICENSE(33.63 KB)audio_vae.safetensors(101.58 MB)chat_template.jinja(17.06 KB)connector.safetensors(3.76 GB)duration_head.safetensors(3.63 MB)embedded_config.json(2.50 KB)generation_config.json(255.00 B)ltx-2.5-22b-distilled-lora-450-bf16.safetensors(8.29 GB)processor_config.json(1.35 KB)quantize_config.json(213.00 B)spatial_upscaler_x2_v1_0.safetensors(949.62 MB)spatial_upscaler_x2_v1_0_config.json(275.00 B)split_model.json(964.00 B)temporal_upscaler_x2_v1_0.safetensors(249.81 MB)temporal_upscaler_x2_v1_0_config.json(273.00 B)text_encoder.safetensors(14.91 GB)text_encoder_config.json(4.27 KB)tokenizer.json(30.68 MB)tokenizer_config.json(2.68 KB)transformer-dev.safetensors(19.18 GB)transformer-distilled.safetensors(19.18 GB)vae_decoder_av.safetensors(795.66 MB)vae_decoder_conv.safetensors(776.63 MB)vae_encoder_av.safetensors(608.34 MB)vae_encoder_conv.safetensors(608.34 MB)vocoder.safetensors(246.35 MB)
Hardware compatibility
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Quantized
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