Instructions to use jhj0517/MusePose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jhj0517/MusePose with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jhj0517/MusePose", 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:
- 93518187c6e01f96d5ec5de923074e2f056a4b50ca9d8e641dd6f1d722f8d22e
- Size of remote file:
- 703 Bytes
- SHA256:
- ba41139cc9dad159163a53e2aa847356b627f53fef988ad461659bd2d587d886
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