ComfyUI ControlNet Aux

# ComfyUI's ControlNet Auxiliary Preprocessors Plug-and-play [ComfyUI](https://github.com/comfyanonymous/ComfyUI) node sets for making [ControlNet](https://github.com/lllyasviel/ControlNet/) hint images "anime style, a protest in the street, cyberpunk city, a woman with pink hair and golden eyes (looking at the viewer) is holding a sign with the text "ComfyUI ControlNet Aux" in bold, neon pink" on Flux.1 Dev  The code is copy-pasted from the respective folders in https://github.com/lllyasviel/ControlNet/tree/main/annotator and connected to [the 🤗 Hub](https://huggingface.co/lllyasviel/Annotators). All credit & copyright goes to https://github.com/lllyasviel. # Updates Go to [Update page](./UPDATES.md) to follow updates # Installation: ## Using ComfyUI Manager (recommended): Install [ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager) and do steps introduced there to install this repo. ## Alternative: If you're running on Linux, or non-admin account on windows you'll want to ensure `/ComfyUI/custom_nodes` and `comfyui_controlnet_aux` has write permissions. There is now a **install.bat** you can run to install to portable if detected. Otherwise it will default to system and assume you followed ConfyUI's manual installation steps. If you can't run **install.bat** (e.g. you are a Linux user). Open the CMD/Shell and do the following: - Navigate to your `/ComfyUI/custom_nodes/` folder - Run `git clone https://github.com/Fannovel16/comfyui_controlnet_aux/` - Navigate to your `comfyui_controlnet_aux` folder - Portable/venv: - Run `path/to/ComfUI/python_embeded/python.exe -s -m pip install -r requirements.txt` - With system python - Run `pip install -r requirements.txt` - Start ComfyUI # Nodes Please note that this repo only supports preprocessors making hint images (e.g. stickman, canny edge, etc). All preprocessors except Inpaint are intergrated into `AIO Aux Preprocessor` node. This node allow you to quickly get the preprocessor but a preprocessor's own threshold parameters won't be able to set. You need to use its node directly to set thresholds. # Nodes (sections are categories in Comfy menu) ## Line Extractors | Preprocessor Node | sd-webui-controlnet/other | ControlNet/T2I-Adapter | |-----------------------------|---------------------------|-------------------------------------------| | Binary Lin...