Instructions to use hf-internal-testing/tiny-ltx2-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-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-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:
- b6459d0ce4310e7ecdfe25f8a4e63d5bd5c9b693b04f11064a2474307d9fcb36
- Size of remote file:
- 117 kB
- SHA256:
- bf8b2f822740f1cc4cbad5462b9679dc7c1ff1a9138080d08ae432d17e51d01d
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