Instructions to use RzZ/sd-v1-4-adapter-openpose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RzZ/sd-v1-4-adapter-openpose with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RzZ/sd-v1-4-adapter-openpose", 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:
- 9775a875faaca633358403a85dc06ed01dc355c8040ec5e02ca8ebab0e5b674e
- Size of remote file:
- 309 MB
- SHA256:
- f8d8027cbeae188dcae57b7475243b7dec20f2620c3c0fe7778319c56bf1ec6b
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