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:
- dba1ece6b5f805c8c08616c69f8f4ff62689b1211ae2f8a8cd77c3739296f676
- Size of remote file:
- 156 MB
- SHA256:
- 65b50056e05bcb13694174f51bb6da89c894b57b75ccdf0ba6352c597c5d1125
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