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:
- a83ba21ad8d1460da04beadba4975e8191a83f86043f77ba88b85a058c5ffce9
- Size of remote file:
- 547 Bytes
- SHA256:
- 92d3dfb746fca211a2c9e019e285f8597412211728dce3c5bcf4eda0f2d62e7e
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