Bria Generate Background

Transform images through advanced background editing and generative content creation for diverse applications.

Playground
APIPricing
~18.84s
Example output
Default output example

Bria AI Image Editing API v2 – Generative Image Editing Model

What is Bria AI Image Editing API v2?

Bria AI Image Editing API v2 is an advanced generative image editing solution designed for developers, creators, and product managers. It offers a full suite of background operations—removal, replacement, and blurring—and precise content editing tools like erasing and generative fill within masked regions. By preserving original image quality and supporting asynchronous processing with request tracking, Bria AI streamlines complex workflows and accelerates your integration of AI-driven visual enhancements.

Key Features

  • •Background Operations: Remove, replace, or blur backgrounds with optional transparent detection (force_background_detection).
  • •Masked Region Editing: Erase unwanted areas and fill them with contextually generated content.
  • •Guided Generation: Use text prompts (prompt) or reference images (ref_images) for custom backgrounds.
  • •High-Fidelity Output: Retain native resolution via original_quality toggle.
  • •Asynchronous Processing: Submit jobs, poll status, and retrieve results—ideal for large batches.
  • •Content Moderation: Enable prompt_content_moderation, visual_input_content_moderation, and visual_output_content_moderation for safety.
  • •Fast Mode: Accelerate previews with fast, then switch off for full-quality renders.
  • •Reproducibility: Control randomness using the seed parameter.

Best Use Cases

  • •E-commerce: Automate product photo background replacement and enhancement.
  • •Marketing: Generate hero images and banners with on-brand backgrounds.
  • •Social Media: Create engaging posts by erasing distractions and filling scenes.
  • •Real Estate: Virtually stage interiors with new furniture or décor.
  • •Compliance: Integrate moderation flags to filter user-generated content.

Prompt Tips and Output Quality

  1. •Use clear, concise prompts (e.g., “sunny beach with palm trees”).
  2. •Supply high-quality ref_images for style consistency.
  3. •Add negative_prompt (e.g., “no cars”) to exclude elements.
  4. •Enable refine_prompt for intricate or multi-object scenes.
  5. •Toggle original_quality when resolution matters most.
  6. •Try fast mode for quick iterations, then disable for final renders.
  7. •Set a specific seed to reproduce outputs across calls.