Instructions to use shuai1106/control_v11p_sd15_openpose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shuai1106/control_v11p_sd15_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("shuai1106/control_v11p_sd15_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:
- 677c682960b97972acab16e10e41c10f890ad4ed800ca09061686e1a5b7db541
- Size of remote file:
- 723 MB
- SHA256:
- 65c13c04dc49231f7044373e3f0dbd2f44b01a445c8577ea919cd5ff5fac29a6
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