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
Regarding the type of ”VAE Model” used for inference
#28
by mei-san - opened
WAN2.2 has several official models, including "T2V, I2V, TI2V, S2V, and Animete".
Some VAEs use the WAN2.1 VAE model for inference, while others use the WAN2.2 VAE model.
Is the VAE model used for each model correct?
(WAN2.1-VAE)
I2V, T2V, S2V, Animete
(WAn2.2-VAE)
TI2V
yes, wan animate uses the wan2.1 vae