An enhanced Pinokio app (with install files) built on BRIA-RMBG-2.0
- Background Removal: Powered by BRIA-RMBG-2.0
- Drag-and-Drop Gallery: View your processed images and drag them directly from the gallery into the composition windows for background replacement and color grading
- Image Composition: Place and adjust processed images onto new backgrounds
- Color Grading: Adjust brightness, contrast, saturation, temperature, and tinting in the composition workspace
- Batch Processing: Process multiple images at once
- URL Support: Load images directly from URLs
Tabbed UI: Background Removal | Composition Workspace | Batch Removal
- Built on BRIA-RMBG-2.0
- BRIA-RMBG-2.0 model is released under a Creative Commons license for non-commercial use only
- Commercial use of BRIA-RMBG-2.0 requires a commercial agreement with BRIA. Contact BRIA for commercial licensing
- RMBG-2-Studio is free and open-source software, but this does not grant commercial usage rights to the underlying BRIA model
RMBG v2.0 is our new state-of-the-art background removal model, designed to effectively separate foreground from background in a range of categories and image types. This model has been trained on a carefully selected dataset, which includes: general stock images, e-commerce, gaming, and advertising content, making it suitable for commercial use cases powering enterprise content creation at scale. The accuracy, efficiency, and versatility currently rival leading source-available models. It is ideal where content safety, legally licensed datasets, and bias mitigation are paramount.
Developed by BRIA AI, RMBG v2.0 is available as a source-available model for non-commercial use.
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Developed by: BRIA AI
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Model type: Background Removal
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License: bria-rmbg-2.0
- The model is released under a Creative Commons license for non-commercial use.
- Commercial use is subject to a commercial agreement with BRIA. Contact Us for more information.
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Model Description: BRIA RMBG-2.0 is a dichotomous image segmentation model trained exclusively on a professional-grade dataset.
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BRIA: Resources for more information: BRIA AI
RMBG-2.0 is developed on the BiRefNet architecture enhanced with our proprietary dataset and training scheme. This training data significantly improves the model’s accuracy and effectiveness for background-removal task.
If you use this model in your research, please cite:
@article{BiRefNet,
title={Bilateral Reference for High-Resolution Dichotomous Image Segmentation},
author={Zheng, Peng and Gao, Dehong and Fan, Deng-Ping and Liu, Li and Laaksonen, Jorma and Ouyang, Wanli and Sebe, Nicu},
journal={CAAI Artificial Intelligence Research},
year={2024}
}
BRIA's RMBG v2.0 model is ideal for applications where high-quality background removal is essential, particularly for content creators, e-commerce, and advertising. The model’s ability to handle various image types, including challenging ones with non-solid backgrounds, makes it a valuable asset for businesses focused on legally licensed, ethically sourced datasets.
