RMBG 2.0 – Background Removal Model

Edited by Segmind Team on September 7, 2025.

What is RMBG 2.0?

Bria AI's latest flagship model, RMBG 2.0, is designed to remove image backgrounds at a professional level. It is trained on licensed data, making it safe for commercial use as it generates compliant outputs. The model is ideal for developers, creators, and product managers to get speedy background removal with precision and accuracy. It utilizes deep learning to create smooth alpha channels with natural and clean transparency, with a soft transition. RMBG 2.0 utilizes non-binary masks with 256 transparency levels, ensuring harmonious and invisible image merging and preserving the fine details for realistic output. It is far ahead of other commonly available models, which produce harsh edges with obvious binary masks. Furthermore, being a part of Bria AI’s image-editing suite, it operates with asynchronous processing for scalable image handling to efficiently perform large volumes of background-removing tasks.

Key Features of RMBG 2.0

• •High-precision background removal: It is designed to automatically detect foreground objects and create clean masks.
• •preserve_alpha (default: true): This prompt can be used to retain transparency for semi-transparent edges; you also set "false" for solid backgrounds.
• •**Non-binary masks **: Option to toggle precise edge thresholding for sharper, high-contrast masks.
• •Asynchronous API: This makes it possible to execute high-volume workflows; poll for completion, and handle large-scale tasks without blocking.
• •Content moderation toggles:
  • visual_input_content_moderation – to flag sensitive inputs before processing
  • visual_output_content_moderation – to ensure safe outputs for public use
• •Smooth transparency: Anti-aliased edges create gradual, soft blending between the object and its background.
• •Suite integration: It can be integrated with Bria AI generative fill to achieve background replacement or enhancement models.

Best Use Cases

• •E-commerce & Retail: Possible to isolate products on white or transparent backgrounds to design catalogs and A/B tests.
• •Graphic & UX Design: Useful to create clean assets for UI mockups, icons, thumbnails, and marketing collateral.
• •Social Media Content: Save time by quickly swapping backgrounds or placeholders for banners, ads, and posts.
• •Digital Art & Compositing: Easy to prepare foreground elements for collage, layering, or generative fill.
• •Automated Pipelines: It can be integrated into CI/CD systems for automated image asset preparation.

Prompt Tips and Output Quality

1. •Provide a valid image URI:
   “image”: “https://example.com/product.jpg” or Base64-encoded string.
2. •Adjust preserve_alpha:
   • true – PNG with semi-transparent edges
   • false – JPEG-style opaque cutout
3. •Enable moderation for public channels:
   • visual_input_content_moderation: true
   • visual_output_content_moderation: true
4. •Use high-resolution inputs (≥1024 px) for cleaner masks.
5. •Combine with custom binarization for logos or text:
   \{ "preserve_alpha": false, "custom_threshold": 0.5 \}
6. •For targeted edits, use Bria AI’s masking and generative fill models in sequence.

FAQs

Q: Which image formats are supported?
A: RMBG 2.0 supports JPEG, PNG, WebP via URI or Base64. Output supports PNG (with alpha) or JPEG (opaque).

Q: How do I retain transparency?
A: Set preserve_alpha: true; RMBG 2.0 will export a PNG with smooth, anti-aliased alpha channels.

Q: Can I process images in bulk?
A: Yes, you can use asynchronous endpoints to execute multiple jobs and poll for results programmatically.

Q: What is content moderation?
A: Two toggles ensure the output is "safe" for commercial use -
• visual_input_content_moderation: blocks sensitive inputs
• visual_output_content_moderation: filters outputs before public release.

Q: How accurate is the mask?
A: RMBG 2.0 achieves >95% pixel-level accuracy on high-contrast, well-lit inputs. The non-binary mask with 256 transparency levels further gives sharp edges.

# Guide to Using RMBG 2.0 Effectively

RMBG 2.0 is Bria AI’s high-precision background removal model. This guide will help you configure the right parameters for different workflows, optimize output quality, and seamlessly integrate into your pipeline.

## 1. Basic Usage
1. Provide a valid image URI or Base64:
   ```json
   { "image": "https://example.com/product.jpg" }

2. •Choose preserve_alpha:
   • •true (default): PNG with smooth, semi-transparent edges
   • •false: opaque JPEG-style cutout
3. •(Optional) Toggle content moderation:

   {
     "visual_input_content_moderation": true,
     "visual_output_content_moderation": true
   }
   

2. Recommended Parameters by Use Case

E-commerce & Retail

Isolate products for catalogs, A/B testing, and storefronts.

{
  "preserve_alpha": false,
  "custom_threshold": 0.4
}

• Opaque cutouts simplify batch compositing on white or colored backgrounds.
• Lower custom_threshold sharpens edges around glossy or reflective items.

Graphic & UX Design

Generate assets for icons, mockups, thumbnails.

{
  "preserve_alpha": true,
  "custom_threshold": 0.6
}

• Retain anti-aliased borders for smooth UI elements.
• Mid-level threshold keeps fine details in text or logos.

Social Media Content

Create eye-catching banners or story visuals.

{
  "preserve_alpha": false,
  "visual_output_content_moderation": true
}

• Opaque cutouts stack easily over dynamic backgrounds.
• Enable output moderation to ensure brand-safe imagery.

Digital Art & Compositing

Prep elements for collage, layering, or generative fill.

{
  "preserve_alpha": true,
  "custom_threshold": 0.5
}

• Smooth transparency lets you blend edges naturally.
• Pair with Bria AI’s generative fill or background replacement.

Automated Pipelines

Scale background removal in CI/CD workflows.

{
  "preserve_alpha": false,
  "visual_input_content_moderation": true
}

• Use asynchronous endpoints to queue jobs and poll statuses.
• Automate moderation and error-handling in your pipeline code.

3. Asynchronous Processing

• •Submit multiple jobs: POST /v2/rmbg/jobs
• •Poll for completion: GET /v2/rmbg/jobs/{job_id}
• •Fetch results: PNG or JPEG URL when done

4. Pro Tips for Best Results

• •Use high-resolution inputs (≥1024 px) for cleaner masks.
• •Experiment with custom_threshold (0.3–0.7) on text and logos.
• •For public-facing apps, always enable both input/output moderation.
• •Chain with Bria AI’s enhancement or generative fill for advanced edits.

By tuning preserve_alpha, custom_threshold, and moderation flags, you can unlock RMBG 2.0’s full potential—whether you’re removing backgrounds for e-commerce, design, or large-scale automation.

FAQs