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:
- 22181a3251c722022480a8d14158325fd339c16618c18f607adabcfe0bed0105
- Size of remote file:
- 1.45 GB
- SHA256:
- f5e06b41bd614e84eba294ebf2fa868ef31ffc88fca33987938fde3ec0eb67a4
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