Bria AI

Bria — Controllable Image Generation & Editing

Generate and precisely control visual assets using Bria's commercially-safe AI models (FIBO, RMBG-2.0, GenFill, and more). Unlike black-box generators, Bria gives you fine-grained control: edit by text instruction, mask specific regions, add/replace/remove individual objects, change lighting or season independently, and chain operations in pipelines.

Setup — API Key Check

Before making any Bria API call, check for the API key and help the user set it up if missing:

Step 1: Check if the key exists

echo $BRIA_API_KEY

If the output is not empty, skip to the next section.

Step 2: If the key is missing, guide the user

Open the Bria API keys page in the browser:

open "https://platform.bria.ai/console/account/api-keys?utm_source=skill&utm_campaign=bria_skills&utm_content=adjust_photoshop_for_agent"   # macOS
# xdg-open "https://platform.bria.ai/console/account/api-keys?utm_source=skill&utm_campaign=bria_skills&utm_content=adjust_photoshop_for_agent"  # Linux

Then tell the user exactly this:

I opened the Bria website in your browser. To use image generation, you need a free API key.

1. Sign up or log in on the page I just opened
2. Click Create API Key
3. Copy the key and paste it here

Wait for the user to provide their API key. Do not proceed until they give you the key.

Step 3: Save the key permanently

Once the user provides the key, save it so it persists across sessions.

On macOS/Linux, detect the shell and append to the correct profile:

# Detect the shell profile
if [ -n "$ZSH_VERSION" ] || [ "$SHELL" = */zsh ]; then
  PROFILE_FILE="$HOME/.zshrc"
elif [ -f "$HOME/.bashrc" ]; then
  PROFILE_FILE="$HOME/.bashrc"
else
  PROFILE_FILE="$HOME/.profile"
fi

# Append the export (only if not already present)
grep -q 'export BRIA_API_KEY=' "$PROFILE_FILE" 2>/dev/null && \
  sed -i.bak '/export BRIA_API_KEY=/d' "$PROFILE_FILE"
echo 'export BRIA_API_KEY="THE_KEY_THE_USER_GAVE_YOU"' >> "$PROFILE_FILE"

# Make it available immediately in this session
export BRIA_API_KEY="THE_KEY_THE_USER_GAVE_YOU"

On Windows (PowerShell):

[System.Environment]::SetEnvironmentVariable("BRIA_API_KEY", "THE_KEY_THE_USER_GAVE_YOU", "User")
$env:BRIA_API_KEY = "THE_KEY_THE_USER_GAVE_YOU"

Replace THE_KEY_THE_USER_GAVE_YOU with the actual key the user provided.

Step 4: Verify

echo $BRIA_API_KEY

Confirm the key is set, then tell the user:

Your API key is saved and will persist across sessions. You're all set!

Do not proceed with any image generation or editing until the API key is confirmed set.

Core Capabilities

Quick Reference

Generate an Image (FIBO)

curl -X POST "https://engine.prod.bria-api.com/v2/image/generate" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "your description",
    "aspect_ratio": "16:9"
  }'

Aspect ratios: 1:1 (square), 16:9 (hero/banner), 4:3 (presentation), 9:16 (mobile/story), 3:4 (portrait)

Advanced: For precise, deterministic control over generation, use VGL structured prompts instead of natural language. VGL defines every visual attribute (objects, lighting, composition) as explicit JSON.

Remove Background (RMBG-2.0)

curl -X POST "https://engine.prod.bria-api.com/v2/image/edit/remove_background" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"image": "https://..."}'

Returns PNG with transparency.

Edit Image (FIBO-Edit) - No Mask Required

curl -X POST "https://engine.prod.bria-api.com/v2/image/edit" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "images": ["https://..."],
    "instruction": "change the mug to red"
  }'

Edit Image Region with Mask (GenFill)

curl -X POST "https://engine.prod.bria-api.com/v2/image/edit/gen_fill" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": "https://...",
    "mask": "https://...",
    "prompt": "what to generate in masked area"
  }'

Expand Image (Outpainting)

curl -X POST "https://engine.prod.bria-api.com/v2/image/edit/expand" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": "base64-or-url",
    "aspect_ratio": "16:9",
    "prompt": "coffee shop background, wooden table"
  }'

Upscale Image

curl -X POST "https://engine.prod.bria-api.com/v2/image/edit/increase_resolution" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"image": "https://...", "scale": 2}'

Product Lifestyle Shot

curl -X POST "https://engine.prod.bria-api.com/v2/image/edit/lifestyle_shot_by_text" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": "https://product-with-transparent-bg.png",
    "prompt": "modern kitchen countertop, natural morning light"
  }'

Async Response Handling

All endpoints return async responses:

{
  "request_id": "uuid",
  "status_url": "https://engine.prod.bria-api.com/v2/status/uuid"
}

Poll the status_url until status: "COMPLETED", then get result.image_url.

import requests, time

def get_result(status_url, api_key):
    while True:
        r = requests.get(status_url, headers={"api_token": api_key})
        data = r.json()
        if data["status"] == "COMPLETED":
            return data["result"]["image_url"]
        if data["status"] == "FAILED":
            raise Exception(data.get("error"))
        time.sleep(2)

Prompt Engineering Tips

• Style: "professional product photography" vs "casual snapshot", "flat design illustration" vs "3D rendered"
• Lighting: "soft natural light", "studio lighting", "dramatic shadows"
• Background: "white studio", "gradient", "blurred office", "transparent"
• Composition: "centered", "rule of thirds", "negative space on left for text"
• Quality keywords: "high quality", "professional", "commercial grade", "4K", "sharp focus"
• Negative prompts: "blurry, low quality, pixelated", "text, watermark, logo"

API Reference

See references/api-endpoints.md for complete endpoint documentation.

Key Endpoints

Generation

Edit by Text (No Mask)

Edit with Mask

Background Operations

Image Transformation

Text & Restoration

Product Photography

Utilities

Authentication

All requests need api_token header:

api_token: YOUR_BRIA_API_KEY

Additional Resources

• API Endpoints Reference — Complete endpoint documentation with request/response formats
• Workflows & Pipelines — Batch generation, parallel pipelines, integration examples
• Python Client — Full-featured async Python client
• TypeScript Client — Typed Node.js client
• Bash/curl Reference — Shell functions for all endpoints

Related Skills

• vgl — Write structured VGL JSON prompts for precise, deterministic control over FIBO image generation
• image-utils — Classic image manipulation (resize, crop, composite, watermarks) for post-processing