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
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#27
by linoyts HF Staff - opened
No description provided.
Hi @linoyts . Is this model supposed to be integrated into WanVideoToVideoPipeline or have its own, WanAnimatePipeline? I assumed the latter, WDYT?
hey @tolgacangoz ! I agree it would indeed be the latter - have it's own WanAnimatePipeline. That said, the general pipeline type that fits best here would be video-to-video, hence my PR :)
WanX-Video-1 changed pull request status to merged
Taylor Swift