Custom nodes for ComfyUI allow to inpaint using Brushnet: "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion".
My contribution is limited to the ComfyUI adaptation, and all credit goes to the authors of the paper.
Apr 28, 2014. Another rework, sorry for inconvenience. But now BrushNet is native to ComfyUI. Famous cubiq's IPAdapter Plus is now working with BrushNet! I hope... :) Please, report any bugs you found.
Apr 18, 2024. Complete rework, no more custom diffusers library. It is possible to use LoRA models.
Apr 11, 2024. Initial commit.
Clone the repo into the custom_nodes directory and install the requirements:
git clone https://github.com/nullquant/ComfyUI-BrushNet.git
pip install -r requirements.txt
Checkpoints of BrushNet can be downloaded from here.
The checkpoint in segmentation_mask_brushnet_ckpt provides checkpoints trained on BrushData, which has segmentation prior (mask are with the same shape of objects). The random_mask_brushnet_ckpt provides a more general ckpt for random mask shape.
Both segmentation_mask_brushnet_ckpt and random_mask_brushnet_ckpt or only one of them should be placed inside models/inpaint/brushnet folder.
Base model should be SD1.5 type (realisticVisionV60B1_v51VAE, for example).
Below is an example for the intended workflow. The json file for the example can be found inside the 'example' directory.
The latent image can be from BrushNet node or not, but it should be the same size as original image (divided by 8 in latent space).
Blending inpaint
Sometimes inference and VAE broke image, so you need to blend inpaint image with the original: json file
You can see blurred and broken text after inpainting in the first image and how I suppose to repair it.
Unfortunately, due to the nature of ComfyUI code some nodes are not compatible with these, since we are trying to patch the same ComfyUI's functions.
List of known uncompartible nodes.
I will think how to avoid it.
The code is based on