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
Simple demo, powerful concept: any TouchDesigner geometry becomes a control signal for VACE.
#62
by Shreezel - opened
This example uses jiggly cubes as depth input. The same approach scales to any 3D scene you build.
π¬ Watch the demo
π§ Scope
What control inputs are you experimenting with?