Instructions to use blanchon/LTX-2-Distilled-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use blanchon/LTX-2-Distilled-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("blanchon/LTX-2-Distilled-diffusers", 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
- Xet hash:
- 348337a9d73d833bf010607ab7d4a75d9be88b5d0d74534fd4aa453cabc13cb6
- Size of remote file:
- 63.8 MB
- SHA256:
- 96a24f2ec886fa08b8b6566e8094b973c7d2ba0855bcbf7046b4b7156d1d1355
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