This is a rework of comfyui_controlnet_preprocessors based on ControlNet auxiliary models by 🤗. I think the old repo isn't good enough to maintain.
All old workflows still can be used with custom nodes in this repo but the version option won't do anything. Almost all v1 preprocessors are replaced by v1.1 except those doesn't apppear in v1.1.
You don't need to care about the differences between v1 and v1.1 lol.
The code is copy-pasted from the respective folders in https://github.com/lllyasviel/ControlNet/tree/main/annotator and connected to the 🤗 Hub.
All credit & copyright goes to https://github.com/lllyasviel.
Install ComfyUI Manager and do steps introduced there to install this repo.
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
- Run
- With system python
- Run
pip install -r requirements.txt
- Run
- Portable/venv:
- Start ComfyUI
Please note that this repo only supports preprocessors making hint images (e.g. stickman, canny edge, etc).
- Binary Lines
- Canny Edge
- HED Lines
- Normal Lineart
- Anime Lineart
- Manga Lineart
- M-LSD Lines
- PiDiNet Lines
- Scribble Lines
- Scribble XDoG Lines
- LeReS - Depth Map
- MiDaS - Normal Map
- MiDaS - Depth Map
- BAE - Normal Map
- Zoe - Depth Map
- DWPose Pose Recognition
- OpenPose Pose Recognition
- MediaPipe Face Mesh
- OneFormer ADE20K Segmentor
- UniFormer Segmentor
- OneFormer COCO Segmentor
- Color Pallete
- Content Shuffle
A picture is worth a thousand words
Credit to https://huggingface.co/thibaud/controlnet-sd21. You can get the same kind of results from preprocessor nodes of this repo.
https://github.com/Fannovel16/comfyui_controlnet_aux/blob/master/tests/test_cn_aux_full.json