Instructions to use westfish/sd-v1-4-adapter-openpose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use westfish/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("westfish/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:
- 0897a7b6653887432744c434272077b794547c2736545e1b7e461f1196da3b7e
- Size of remote file:
- 309 MB
- SHA256:
- cd4b4b0c9118b5d75a3ce6454d5bcb7bc022f3ba70cc4a7bba560bb0299da5be
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