Instructions to use hf-internal-testing/tiny-wan-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-wan-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-wan-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:
- a9c7a0fa3b15b0e135abe56683ed82faa29526e8d56bd90f2e451b4dc8c75296
- Size of remote file:
- 120 kB
- SHA256:
- 2bb39107fb267c6bf2e890e9e1f61c6d6c5587e9add0a6c04f3440b164216d04
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