BiRefNet HR (High Resolution) Background Remover Gradio APP and 1-Click Installers for Windows, RunPod, Massed Compute and a Free Kaggle Account Notebook
Amazing Gradio APP for the very best open source background remover model BiRefNet HR Version - 1-Click to install on Windows, RunPod, Kaggle
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Latest installer zip file: BiRefNet_HR_v10.zip
GitHub official repo : https://github.com/ZhengPeng7/BiRefNet
We have upgraded our app to work better and now supports BiRefNet HR - High Resolution version and all other versions as well
Moreover newer version has half precision feature so now it works even with lower VRAM
VRAM usage 100% depends on the processed image resolution
Check all the screenshots to see how it works and we have full batch processing feature as well
How to install and use shown in this tutorial : https://youtu.be/MLNQkwW_Q8M?si=8FoMpuIqU68DurJM&t=248
25 November 2025 Update v10
How to install and use shown in this tutorial : https://youtu.be/MLNQkwW_Q8M?si=8FoMpuIqU68DurJM&t=248
All installers updated to latest Torch 2.8 for Windows, RunPod and Massed Compute with latest pre-compiled Flash Attention, Sage Attention and xFormers for All GPUs such as RTX 3000 series, 4000 series, 5000 series, H100, B200, RTX PRO 6000 etc
Also we have updated latest changes from the official repo like BF16, original image resolution processing and more improvements
You can see comparison here : https://imgsli.com/NDI5MzY0/0/1
BF16 mixed precision is now the default; the app lets you switch between FP32, FP16, and BF16, with inference handled via autocast rather than converting model weights.
“Original (No Resize)” mode truly preserves native resolution while internally padding to multiple-of-32 dimensions so the decoder never crashes.
Resolution presets (Original, 1024, 2048, 4096, Custom) plus a dedicated custom textbox make resizing explicit and easier to control in both single and batch tabs.
Output files can include automatic model/resolution metadata (results/-reso_/...), keeping experiments organized without manual folder management.
The Gradio UI was refreshed with the new options (precision dropdown, resolution preset/custom toggle, metadata checkbox) and updated copy pointing to the Patreon release.
This is currently literally the very fast and highest quality background remover model
New preset save and load feature added
It will auto load your last used preset when you start app next time
New replace transparent pixels with white or black feature added
I recommend a fresh install
Windows Requirements
Python 3.10, FFmpeg, CUDA 12.9, cuDNN 9.12 , C++ tools and Git
If it doesn't work make sure to below tutorial and install everything exactly as shown in this below tutorial
How To Install and Use:
Windows:
First watch above requirements tutorial and follow every step
Extract zip archive into a drive like c:/BiRefNet_hr
Longer directory path causes issues and don't use space characters in folder names
Double click and install with Windows_Install.bat and that is it
Then run with Windows_Start_App.bat to start BiRefNet HR SECourses APP
And follow above and below attached screenshot
Massed Compute (Recommend Cloud) :
Please register via this link : https://vm.massedcompute.com/signup?linkId=lp_034338&sourceId=secourses&tenantId=massed-compute
Use our coupon SECourses
Our coupon works on all GPUs now
RTX 6000 PRO has amazing price and speed but you can use like RTX A6000 ADA or L40S as well
Full details here : https://www.patreon.com/posts/26671823
Then select our image SECourses from Creator dropdown
Then follow Massed_Compute_Instructions_READ.txt
Same as my any other Massed Compute installer script
Example tutorial for learn how to install and use Massed Compute
(Starts at 12:58) : https://youtu.be/KW-MHmoNcqo?si=G1WbG-Qw4ujWvOtG&t=778
RunPod (Cloud):
Please register via this link : https://get.runpod.io/955rkuppqv4h
Then follow Runpod_Instructions_READ.txt
Same as my any other RunPod installer script
Use the template written in Runpod_Instructions_READ.txt file
Example tutorial for learn how to install and use RunPod
(starts at 22:03) : https://youtu.be/KW-MHmoNcqo?si=QN8X8Sjn13ZYu-EU&t=1323
Kaggle (Free Cloud - Not Recommend):
Gradio Live Share now working so we don't need Ngrok Tunneling anymore
Register Kaggle for free and verify your phone number : https://www.kaggle.com/
Upload the Kaggle notebook file from downloaded attachments
Follow the instructions on the Kaggle notebook
How to Use Kaggle Notebooks General Tutorial
(Starts at 27:34) https://youtu.be/KW-MHmoNcqo?si=vkKTvWHbZVrn4x7h&t=1654