Instructions to use Lightricks/LTX-Video-0.9.7-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lightricks/LTX-Video-0.9.7-dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-Video-0.9.7-dev", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 2c6fa36052e9135a5fb1952203fc22a0a8d78b35b0c6ebe369a863525d512410
- Size of remote file:
- 7.9 MB
- SHA256:
- 336f4baec79c1bd754c7c1bf3ac0792910cc85b6a3bde15fabeb0fb0f33299ff
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