Instructions to use jander87/Wan2.2-Animate-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jander87/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("jander87/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
- Xet hash:
- 641972164cee0c38c02a79f22dfb964a977166504fad30baa36f390833c95019
- Size of remote file:
- 4.74 GB
- SHA256:
- e5fea7f38aa4cb70ed59a9ecf406d0c05f3dfc85ee70bc83de35679c42642d1b
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