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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Various formats for LTX-2.3, more to come.
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license_link: https://huggingface.co/Lightricks/LTX-2.3/blob/main/LICENSE
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07:03: ⚠️ make sure your torch (>=2.10) & cuda (>=13.0) are up to date, otherwise you won't see a speed boost using nvfp4, may even be slower ⚠️
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05/03: Lightricks released an official fp8, probably better to use it instead of mine.
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Various formats for LTX-2.3, more to come.
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