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:
- fe33ab22cc9d7d8b15232b450fa905c03150438d3e0692f7da3815a08bf3c435
- Size of remote file:
- 407 MB
- SHA256:
- 0d9408b13cd863c4e95a149dd31232f88f2a12aa6cf8964ed74d7d97748c7a07
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