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:
- 933c939239ffca54a98d150a6d489e3fef6d957ed29c661ea1a59cf3a2f763e0
- Size of remote file:
- 2.44 GB
- SHA256:
- 88a8257e2e3358e4a5d5609782a47eefc1ae559051b8d44dddc669fda03e5bcc
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