Instructions to use Wan-AI/Wan2.2-Animate-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wan-AI/Wan2.2-Animate-14B 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-14B", 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
Download assets/vae.png from Wan-AI/Wan2.2-Animate-14B: direct link, hf CLI and curl.
- Browser
- Download file 165 kB
-
https://huggingface.co/Wan-AI/Wan2.2-Animate-14B/resolve/main/assets/vae.png
- Command line
-
hf download hf://Wan-AI/Wan2.2-Animate-14B/assets/vae.png
-
curl -L -o vae.png https://huggingface.co/Wan-AI/Wan2.2-Animate-14B/resolve/main/assets/vae.png
165 kB

- Xet hash:
- 032ce9f480c5dcea1ac1a2c39b0de3729b63e97f6c980ac8446a8106b3a2e8c6
- Size of remote file:
- 165 kB
- SHA256:
- 4aaea5e187f1c5908e15ade5bef24c9fb59882986bc3d2ad75f7fe820f3d772f
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