Instructions to use hf-internal-testing/tiny-ltx2-5-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-ltx2-5-modular-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-ltx2-5-modular-pipe", 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:
- c6a8dc2f1fbdfd3ace8f09ea8cf1f5205275a31bb9c6f84e4f2e7a493850a7c0
- Size of remote file:
- 33.4 MB
- SHA256:
- be966fdc945f0a849b2712f3e469802ee6997ab2df4e5a6f673956c41194619d
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