ComfyUI-Inspyrenet-Rembg ComfyUI node for background removal, implementing InSPyReNet I've tested a lot of different AI rembg methods (BRIA - U2Net - IsNet - SAM - OPEN RMBG, . ) but in all of my tests InSPyReNet was always ON A WHOLE DIFFERENT LEVEL! The cherry on top is that InSPyReNet has MIT License which allows for Commercial use (for example BRIA does not allow Commercial use to my knowledge) Check the Licenses for yourself I will not be held accountable :) Updates Added an advanced
node that supports threshold Features Superior rembg quality compared to other methods (just give it a try! ) Can take batch of images as input Optimized for image batch to be the fastest rembg node (perfect for video frames) Outputs both the image and the corresponding mask Shows the progress in terminal Installation Simple way: search for in ComfyUI-Manager and hit install. Go to your folder in ComfyUI, open the terminal and run the following command: 2. To install requirements
, run the following commands: Done! It downloads the pretrained model automatically at first use note If torchscript_jif is set to on, it will trace model with pytorch built-in torchscript JIT compiler. May cause delay in initialization, but reduces inference time and gpu memory usage. basic workflow download this file and drag and drop it into your comfyui as basic workflow: inspyrenet-rembg-basic-workflow.
Frequently asked questions
How many stars and forks are recorded?
john-mnz/ComfyUI-Inspyrenet-Rembg has 754 stars and 45 forks.
What is the repository rank?
john-mnz/ComfyUI-Inspyrenet-Rembg is ranked 14,185.
What language and category are recorded?
john-mnz/ComfyUI-Inspyrenet-Rembg has 754 stars, uses Python and belongs to Applications.
Which repository is closest in rank?
john-mnz/ComfyUI-Inspyrenet-Rembg is compared with jina-ai/auto-gpt-web, ranked 14,184 with 754 stars.
README
# ComfyUI-Inspyrenet-Rembg
ComfyUI node for background removal, implementing InSPyReNet
I've tested a lot of different AI rembg methods (BRIA - U2Net - IsNet - SAM - OPEN RMBG, ...) but in all of my tests InSPyReNet was always ON A WHOLE DIFFERENT LEVEL!
The cherry on top is that InSPyReNet has MIT License which allows for Commercial use (for example BRIA does not allow Commercial use to my knowledge)
Check the Licenses for yourself I will not be held accountable :)
Updates
Added an advanced node that supports threshold
Features
Superior rembg quality compared to other methods (just give it a try!)
Can take batch of images as input
Optimized for image batch to be the fastest rembg node (perfect for video frames)
Outputs both the image and the corresponding mask
Shows the progress in terminal
Installation
Simple way:
search for ComfyUI-Inspyrenet-Rembg in ComfyUI-Manager and hit install.
Done!
Manual:
Go to your custom_nodes folder in ComfyUI, open the terminal and run the following command:
To install requirements, run the following commands:
cd ComfyUI-Inspyrenet-Rembg
pip install -r requirements.txt
Done!
It downloads the pretrained model automatically at first use
note
If torchscript_jif is set to on, it will trace model with pytorch built-in torchscript JIT compiler. May cause delay in initialization, but reduces inference time and gpu memory usage.
basic workflow
download this file and drag and drop it into your comfyui as basic workflow: