Instructions to use arsity/UDAPose-model-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use arsity/UDAPose-model-weights with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("arsity/UDAPose-model-weights", 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:
- 7800a3b77a157607a5b06c7c164995a3ad4307dca2e2a453c49349529a3aacbe
- Size of remote file:
- 178 MB
- SHA256:
- 108a66d1241f874f8328dbb2876b320e8f541618a7ad9ebe8102f7f18dd4396e
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