Instructions to use nesaorg/animatediff-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nesaorg/animatediff-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nesaorg/animatediff-base", 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:
- 941e51b1753d622ed774391b1857183e79a97835574828d5cf6a84e28eea06ce
- Size of remote file:
- 328 kB
- SHA256:
- c6cf1f94a3987b15c53acd32477ba1c03acf9e16d91c090773f0cb18409d8d11
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