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batchimg-rembg-comfyui-nodes's Introduction

batchImg-rembg

Rembg(Remove background) of Plural Images for ComfyUI

Installation

  1. Clone to your custom_nodes folder in ComfyUI:
git clone https://github.com/Mamaaaamooooo/batchImg-rembg-ComfyUI-nodes.git
  1. Install rembg[gpu] (recommended) or rembg, depending on GPU support, to your ComfyUI virtual environment. E.g.:
pip install rembg[gpu]
pip install tqdm

batchImg-rembg workflows will often make use of these helpful node packs:




Workflow

for example,




Optional Models(Choose according to your work, downloaded automatically)


All models are downloaded and saved in the user home folder in the .u2net directory.

The available models are:

Rembg Model Name
Name Description Link
u2net(default) A pre-trained model for general use cases. download, source
u2netp A lightweight version of u2net model. download, source
u2net_human_seg A pre-trained model for human segmentation. download, source
u2net_cloth_seg A pre-trained model for Cloths Parsing from human portrait. Here clothes are parsed into 3 category: Upper body, Lower body and Full body. download, source
silueta Same as u2net but the size is reduced to 43Mb. download, source
isnet-general-use A new pre-trained model for general use cases. download, source
isnet-anime A high-accuracy segmentation for anime character. download, source
sam(not recommended, not easy to use) A pre-trained model for any use cases. download encoder, download decoder, source


Example

Original Image LineArt before Rembg LineArt after Rembg

Acknowledgements

Thanks to rembg-comfyui-node for insight.
Thanks to rembg-comfyui-node-better for modifying repo.

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