Compare model versions

Diff

Before

- **Developed by:** [BRIA AI](https://bria.ai/)
- **Model type:** Background Removal 
- **License:** [Creative Commons Attribution–Non-Commercial (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/deed.en)
  - The model is released under a CC BY-NC 4.0 license for non-commercial use.
  - Commercial use is subject to a commercial agreement with BRIA. Available [here](https://share-eu1.hsforms.com/2sj9FVZTGSFmFRibDLhr_ZAf4e04)

 **API Endpoint**: [Sandbox](https://catalog.bria.ai/image-editing/remove-background/sandbox)
- **ComfyUI**: [Use it in workflows](https://github.com/Bria-AI/ComfyUI-BRIA-API)
- **GitHub**: [github.com/Bria-AI/RMBG-2.0](https://github.com/Bria-AI/RMBG-2.0)

 **Purchase:** To purchase a Self-Hosted (HF Weights) commercial license [Click Here](https://share-eu1.hsforms.com/2sj9FVZTGSFmFRibDLhr_ZAf4e04).

For more information, please visit our [website](https://catalog.bria.ai/image-editing/remove-background/sandbox).

Join our [Discord community](https://discord.gg/Nxe9YW9zHS) for more information, tutorials, tools, and to connect with other users!

[CLICK HERE FOR A DEMO](https://huggingface.co/spaces/briaai/BRIA-RMBG-2.0)

[fal.ai](https://fal.ai/models/fal-ai/bria/background/remove), [Replicate](https://replicate.com/bria/remove-background)

![examples](t4.png)

- **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.
- **BRIA:** Resources for more information: [BRIA AI](https://bria.ai/)

After

- **Developed by:** [BRIA AI](https://bria.ai/)
- **Model type:** Background Removal 
- **License:** [Creative Commons Attribution–Non-Commercial (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/deed.en)
  - The model is released under a CC BY-NC 4.0 license for non-commercial use.
  - Commercial use is subject to a commercial agreement with BRIA. Available [here](https://platform.bria.ai/licensing/pricing?model=rmbg-2.0)

 **API Endpoint**: [Sandbox](https://catalog.bria.ai/image-editing/remove-background/sandbox)
- **ComfyUI**: [Use it in workflows](https://github.com/Bria-AI/ComfyUI-BRIA-API)
- **GitHub**: [github.com/Bria-AI/RMBG-2.0](https://github.com/Bria-AI/RMBG-2.0)

 **Purchase:** To purchase a Self-Hosted (HF Weights) commercial license [Click Here](https://share-eu1.hsforms.com/2sj9FVZTGSFmFRibDLhr_ZAf4e04).

For more information, please visit our [website](https://catalog.bria.ai/image-editing/remove-background/sandbox).

Join our [Discord community](https://discord.gg/Nxe9YW9zHS) for more information, tutorials, tools, and to connect with other users!

[CLICK HERE FOR A DEMO](https://huggingface.co/spaces/briaai/BRIA-RMBG-2.0)

[fal.ai](https://fal.ai/models/fal-ai/bria/background/remove), [Replicate](https://replicate.com/bria/remove-background)

![examples](t4.png)

- **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.
- **BRIA:** Resources for more information: [BRIA AI](https://bria.ai/)