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:
- d5eb157063d76455ed0216762f7390a81a2ab9c21ba73c8f8dc783e9850016f8
- Size of remote file:
- 4.77 GB
- SHA256:
- 628c9998b613391f193eb67ff68da9667d75f492911e4eb3decf23460a158c38
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