Below snippet of code installs the necessary packages. It uses pip to install the following packages:

diffusers version 0.14.0: A package for stable diffusion and ControlNet algorithms, transformers, The Accelerate library from the GitHub repository : A library for high-performance deep learning network. Additionally, the code installs opencv-contrib-python and controlnet_aux packages, which are required for image processing and ControlNet auxiliary functionalities.

  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Preparing metadata (pyproject.toml) ... done
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  Building wheel for accelerate (pyproject.toml) ... done
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from diffusers.utils import load_image
#hed = HEDdetector.from_pretrained('lllyasviel/ControlNet',filename="./models/control_sd15_depth.pth")
hed = HEDdetector.from_pretrained('lllyasviel/Annotators')
image = load_image("https://huggingface.co/lllyasviel/sd-controlnet-scribble/resolve/main/images/bag.png")
image_scribble = hed(image, scribble=True)
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