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- The model is released under a CC BY-NC 4.0 license for non-commercial use.
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- The model is released under a CC BY-NC 4.0 license for non-commercial use.
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- Commercial use is subject to a commercial agreement with BRIA. Available [here](https://share-eu1.hsforms.com/2sj9FVZTGSFmFRibDLhr_ZAf4e04?utm_campaign=RMBG%202.0&utm_source=Hugging%20face&utm_medium=hyperlink&utm_content=RMBG%20Hugging%20Face%20purchase%20form)
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- Commercial use is subject to a commercial agreement with BRIA. Available [here](https://share-eu1.hsforms.com/2sj9FVZTGSFmFRibDLhr_ZAf4e04?utm_campaign=RMBG%202.0&utm_source=Hugging%20face&utm_medium=hyperlink&utm_content=RMBG%20Hugging%20Face%20purchase%20form)
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**Purchase:** to purchase a commercial license simply click [Here](https://go.bria.ai/3D5EGp0).
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- **Model Description:** BRIA RMBG-2.0 is a dichotomous image segmentation model trained exclusively on a professional-grade dataset. The model output includes a single-channel 8-bit grayscale alpha matte, where each pixel value indicates the opacity level of the corresponding pixel in the original image. This non-binary output approach offers developers the flexibility to define custom thresholds for foreground-background separation, catering to varied use cases requirements and enhancing integration into complex pipelines.
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- **Model Description:** BRIA RMBG-2.0 is a dichotomous image segmentation model trained exclusively on a professional-grade dataset. The model output includes a single-channel 8-bit grayscale alpha matte, where each pixel value indicates the opacity level of the corresponding pixel in the original image. This non-binary output approach offers developers the flexibility to define custom thresholds for foreground-background separation, catering to varied use cases requirements and enhancing integration into complex pipelines.
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- **BRIA:** Resources for more information: [BRIA AI](https://bria.ai/)
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- **BRIA:** Resources for more information: [BRIA AI](https://bria.ai/)
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