config.example.yaml

# this is an example for config.yaml file, you can rename it to config.yaml if you want to use it
# ###############################################################################################
# you can also use absolute paths like: "/root/ComfyUI/custom_nodes/comfyui_controlnet_aux/ckpts" or "D:\\comfyui\\custom_nodes\\comfyui_controlnet_aux\\ckpts"
annotator_ckpts_path: "C:\\SDXL2\\Data\\Models\\ControlNet"
# ###############################################################################################
# if you already have downloaded ckpts via huggingface hub into default cache path like: ~/.cache/huggingface/hub, you can set this True to use symlinks to save space
# ###############################################################################################
# EP_list is a list of execution providers for onnxruntime, if one of them is not available or not working well, you can delete that provider from here(config.yaml)
# you can find all available providers here: https://onnxruntime.ai/docs/execution-providers
# for example, if you have CUDA installed, you can set it to: ["CUDAExecutionProvider", "CPUExecutionProvider"]
# empty list or only keep ["CPUExecutionProvider"] means you use cv2.dnn.readNetFromONNX to load onnx models
# if your onnx models can only run on the CPU or have other issues, we recommend using pt model instead.
# default value is ["CUDAExecutionProvider", "DirectMLExecutionProvider", "OpenVINOExecutionProvider", "ROCMExecutionProvider", "CPUExecutionProvider"]
EP_list:
  [
    "CUDAExecutionProvider",
    "DirectMLExecutionProvider",
    "OpenVINOExecutionProvider",
    "ROCMExecutionProvider",
    "CPUExecutionProvider",
  ]