Instructions to use XXXXeeee/control_v11p_sd15_openpose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XXXXeeee/control_v11p_sd15_openpose with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("XXXXeeee/control_v11p_sd15_openpose") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 677c682960b97972acab16e10e41c10f890ad4ed800ca09061686e1a5b7db541
- Size of remote file:
- 723 MB
- SHA256:
- 65c13c04dc49231f7044373e3f0dbd2f44b01a445c8577ea919cd5ff5fac29a6
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