Instructions to use Hippotes/LTX-2.3-quants with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hippotes/LTX-2.3-quants with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Hippotes/LTX-2.3-quants", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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README.md
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license_link: https://huggingface.co/Lightricks/LTX-2.3/blob/main/LICENSE
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16/03: Lightricks released an official [dev-nvfp4](https://huggingface.co/Lightricks/LTX-2.3-nvfp4/blob/main/ltx-2.3-22b-dev-nvfp4.safetensors) and [distilled-fp8](https://huggingface.co/Lightricks/LTX-2.3-fp8/blob/main/ltx-2.3-22b-distilled-fp8.safetensors)
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license_link: https://huggingface.co/Lightricks/LTX-2.3/blob/main/LICENSE
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14/04: uploaded fp8mixed an nvfp4mixed of LTX-2.3-distilled-1.1
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16/03: Lightricks released an official [dev-nvfp4](https://huggingface.co/Lightricks/LTX-2.3-nvfp4/blob/main/ltx-2.3-22b-dev-nvfp4.safetensors) and [distilled-fp8](https://huggingface.co/Lightricks/LTX-2.3-fp8/blob/main/ltx-2.3-22b-distilled-fp8.safetensors)
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