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
Commit History
-
improve README with tags for better discoverability (#10)
Verified signature- improve README with tags for better discoverability (d55d03030b8bba0debcebbb227e67b8ee5b7a03d) Co-authored-by: Linoy Tsaban <linoyts@users.noreply.huggingface.co>cb93a22 -
add tags for better discoverability :) (#27)
Verified signature- add tags for better discoverability :) (aa055501caab2af9036e0926f5a65f1af7bc29a8) Co-authored-by: Linoy Tsaban <linoyts@users.noreply.huggingface.co>e2fad39
-
Update README.md
Verified signature3295b86 -
Upload folder using huggingface_hub
Verified signature0d22b5c -
Upload 6 files
Verified signature966aa34 -
Update README.md
Verified signatured7905bf
-
Upload folder using huggingface_hub
Verified signatureb46668f -
initial commit
Verified signaturef603d96