Instructions to use Wan-AI/Wan2.2-Animate-2-14B-Distilled-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-Distilled-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-Distilled-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
Download image_processor/tokenizer.json from Wan-AI/Wan2.2-Animate-2-14B-Distilled-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 3.64 MB
-
https://huggingface.co/Wan-AI/Wan2.2-Animate-2-14B-Distilled-Diffusers/resolve/refs%2Fpr%2F1/image_processor/tokenizer.json
- Command line
-
hf download hf://Wan-AI/Wan2.2-Animate-2-14B-Distilled-Diffusers@refs/pr/1/image_processor/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Wan-AI/Wan2.2-Animate-2-14B-Distilled-Diffusers/resolve/refs%2Fpr%2F1/image_processor/tokenizer.json
3.64 MB
File too large to display, you can check the raw version instead.