Instructions to use Wan-AI/Wan2.2-Animate-2-14B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wan-AI/Wan2.2-Animate-2-14B-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-Animate-2-14B-Diffusers", 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:
- fd225eae207189210009af9969e17d1216f77c702facd70cb081e2a5b568980f
- Size of remote file:
- 3.64 MB
- SHA256:
- 6d9109cc838977f3ca94a379eec36aecc7c807e1785cd729660ca2fc0171fb35
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