Instructions to use camenduru/AnimateAnyone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camenduru/AnimateAnyone with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("camenduru/AnimateAnyone", 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:
- 2ce052db3636c3d04f84d32db1893eb1d053c8fe0b04ae9d1b0245223a3e437e
- Size of remote file:
- 1.82 GB
- SHA256:
- 0d11e01a281b39880da2efeea892215c1313e5713fca3d100a7fbb72ee312ef9
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