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:
- 3cd7881a0eda68fa56e946024491cbf98d5df1e9196d74574c2880ec510fc51d
- Size of remote file:
- 134 kB
- SHA256:
- 2222de9e6ced96ba9b89b22327554a7cb0708d50bdb4b8d2eb8f24b3fdbdec51
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