Instructions to use vdo/MagicAnimate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vdo/MagicAnimate with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vdo/MagicAnimate", 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:
- bf6a0889aa325d2c7d9519bc77f3d904ae245b13edec50bd7b3ca35c95d8cb54
- Size of remote file:
- 3.43 GB
- SHA256:
- cb2e8f281d73eff5f9b7f0c94118496607cf5f29fc5b56535a19a8b68e79b619
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