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Endpoint: POST https://fal.run/fal-ai/bria/background/remove Endpoint ID: fal-ai/bria/background/remove

Try it in the Playground

Run this model interactively with your own prompts.

Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/bria/background/remove",
    arguments={
        "image_url": "https://fal.media/files/panda/K5Rndvzmn1j-OI1VZXDVd.jpeg"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

Examples

Example output from Bria RMBG 2.0

Input Schema

image_url
string
required
Input Image to erase from
sync_mode
boolean
default:"false"
If True, the media will be returned as a data URI and the output data won’t be available in the request history.

Output Schema

image
Image
required
The generated image

Input Example

{
  "image_url": "https://fal.media/files/panda/K5Rndvzmn1j-OI1VZXDVd.jpeg",
  "sync_mode": false
}

Output Example

{
  "image": {
    "content_type": "image/png",
    "file_name": "070c731993e949d993c10ef6283d335d.png",
    "file_size": 1076276,
    "height": 1024,
    "url": "https://v3.fal.media/files/tiger/GQEMNjRyxSoza7N8LPPqb_070c731993e949d993c10ef6283d335d.png",
    "width": 1024
  }
}
Bria’s RMBG 2.0 delivers production-grade background removal at $0.018 per inference, trained exclusively on licensed commercial data. Trading breadth for legal certainty, this model solves the compliance headache that blocks most background removal tools from enterprise deployment. Built for teams that need defensible image segmentation without licensing risk. Use Cases: E-commerce Product Photography | Marketing Asset Production | Professional Photo Editing

Performance

At $0.018 per generation, RMBG 2.0 is a specialized utility model, comparable to standard background removal pricing but with the critical differentiator of commercial licensing clarity.
MetricResultContext
Training Data100% licensed commercial imageryLegal defensibility for enterprise deployment
Cost per Image$0.01855 generations per $1.00 on fal
Input FormatSingle image URLStandard image-to-image pipeline
Output FormatPNG with transparency1024x1024 preserved dimensions
Related EndpointsBackground Replace, Product Shot, Expand ImageSame-family variants for product photography workflows

Built for Commercial Deployment

RMBG 2.0 uses a segmentation architecture trained exclusively on licensed data, contrasting sharply with open models trained on scraped web imagery. What this means for you:
  • Enterprise-safe training data: Every training image carries commercial licensing, eliminating copyright exposure in regulated industries
  • Transparent background removal: Clean PNG output with alpha channel preservation for immediate compositing workflows
  • Single-purpose optimization: Focused solely on background segmentation rather than multi-task compromise
  • Straightforward integration: Standard image URL input via fal’s API with synchronous or asynchronous processing modes

Technical Specifications

SpecDetails
ArchitectureBria RMBG 2.0
Input FormatsJPEG, PNG, WebP, GIF, AVIF via URL
Output FormatsPNG with alpha channel transparency
ResolutionUp to 1024x1024 (preserves input dimensions)
LicenseCommercial use with licensed training data
API Documentation | Quickstart Guide | Enterprise Pricing

How It Stacks Up

**Bria Background Replace (0.023)RMBG2.0(0.023)** – RMBG 2.0 (0.018) strips backgrounds cleanly, 22% more cost-effective. Background Replace adds generative fill capabilities for product staging workflows where you need both removal and context reconstruction. **Bria Product Shot (0.023)RMBG2.0(0.023)** – RMBG 2.0 (0.018) handles pure segmentation, while Product Shot combines removal with studio-quality scene generation for e-commerce listings. Product Shot trades simplicity for complete product photography automation at 28% higher cost. **Bria Expand Image (0.023)RMBG2.0focusesonisolation;[ExpandImage](https://fal.ai/models/falai/bria/expand)handlesoutpaintingforaspectratioadjustmentspostremoval.TeamstypicallychainRMBG2.0intoExpandforcompleteproductassetworkflows,withExpandaddinggenerativebordersat0.023)** – RMBG 2.0 focuses on isolation; [Expand Image](https://fal.ai/models/fal-ai/bria/expand) handles outpainting for aspect ratio adjustments post-removal. Teams typically chain RMBG 2.0 into Expand for complete product asset workflows, with Expand adding generative borders at 0.023 per operation.

Limitations

  • seed range: 0 to 2147483647
  • num_images range: 1 to 4