Instructions to use hf-internal-testing/tiny-wan-animate-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-wan-animate-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-wan-animate-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:
- ad6b2505baa7ecdbf430871c49549383426718f57047f15aa58759867592a342
- Size of remote file:
- 4.78 GB
- SHA256:
- d304f778677f1f9f9b2c0af4d36866963fc0905c560b1fe138e93ca942fdb131
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