Instructions to use hf-internal-testing/tiny-wan22-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-wan22-transformer 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-wan22-transformer", 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:
- e70fed400477cabb7a12b6b604913d7f6a9afe5b07dc9e2f56b759ab9d56278f
- Size of remote file:
- 1.87 GB
- SHA256:
- 1f419efbd6ba2ba7a244770bce0bbb727bbf50d5467ae27147ee6317f964e980
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