Instructions to use thibaud/controlnet-openpose-sdxl-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thibaud/controlnet-openpose-sdxl-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("thibaud/controlnet-openpose-sdxl-1.0") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
About license
#9
by tonihdz - opened
There is no explicit license disclosed for this model, but in the description I read the following:
"License: refers to the OpenPose's one."
Does this mean the weights for the controlnet-openpose adapter are published under the same license than OpenPose (https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/LICENSE)?
Or this is just a reminder of the license of the OpenPose pre-processor model?
In other words, can this model be used for commercial use cases, as long as OpenPose pre-processor is not used?