ImageRouter

ImageRouter Image Generation

Generate images with any model available on ImageRouter using curl commands.

Available models

The

test/test

model is a free dummy model that is used for testing the API. It is not a real model, therefore you should use other models for image generation.

Get top 10 most popular models:

curl -X POST 'https://backend.imagerouter.io/operations/get-popular-models'

Search available models by name:

curl "https://api.imagerouter.io/v1/models?type=image&sort=date&name=gemini"

Get all available models:

curl "https://api.imagerouter.io/v1/models?type=image&sort=date&limit=1000"

Quick Start - Text-to-Image

Basic generation with JSON endpoint:

curl 'https://api.imagerouter.io/v1/openai/images/generations' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  --json '{
    "prompt": "a serene mountain landscape at sunset",
    "model": "test/test",
    "quality": "auto",
    "size": "auto",
    "response_format": "url",
    "output_format": "webp"
  }'

Unified Endpoint (Text-to-Image & Image-to-Image)

Text-to-Image with multipart/form-data:

curl 'https://api.imagerouter.io/v1/openai/images/edits' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -F 'prompt=a cyberpunk city at night' \
  -F 'model=test/test' \
  -F 'quality=high' \
  -F 'size=1024x1024' \
  -F 'response_format=url' \
  -F 'output_format=webp'

Image-to-Image (with input images):

curl 'https://api.imagerouter.io/v1/openai/images/edits' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -F 'prompt=transform this into a watercolor painting' \
  -F 'model=test/test' \
  -F 'quality=auto' \
  -F 'size=auto' \
  -F 'response_format=url' \
  -F 'output_format=webp' \
  -F 'image[]=@/path/to/your/image.webp'

Multiple images (up to 16):

curl 'https://api.imagerouter.io/v1/openai/images/edits' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -F 'prompt=combine these images' \
  -F 'model=test/test' \
  -F 'image[]=@image1.webp' \
  -F 'image[]=@image2.webp' \
  -F 'image[]=@image3.webp'

With mask (some models require mask for inpainting):

curl 'https://api.imagerouter.io/v1/openai/images/edits' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -F 'prompt=fill the masked area with flowers' \
  -F 'model=test/test' \
  -F 'image[]=@original.webp' \
  -F 'mask[]=@mask.webp'

Parameters

• model (required): Image model to use (see https://imagerouter.io/models)
• prompt (optional): Text description for generation. Most models require a text prompt, but not all.
• quality (optional):

  auto

  (default),

  low

  ,

  medium

  ,

  high

• size (optional):

  auto

  (default) or

  WIDTHxHEIGHT

  (e.g.,

  1024x1024

  ).
• response_format (optional):

  • url

    (default) - Returns hosted URL

  • b64_json

    - Returns base64-encoded image

  • b64_ephemeral

    - Base64 without saving to logs
• output_format (optional):

  webp

  (default),

  jpeg

  ,

  png

• image[] (optional): Input file for Image-to-Image (multipart only)
• mask[] (optional): Editing mask for inpainting (multipart only)

Response Format

{
  "created": 1769286389027,
  "data": [
    {
      "url": "https://storage.imagerouter.io/fffb4426-efbd-4bcc-87d5-47e6936bf0bb.webp"
    }
  ],
  "latency": 6942,
  "cost": 0.004
}

Endpoint Comparison

Tips

• Both

  /v1/openai/images/generations

  and

  /v1/openai/images/edits

  are the same for the unified endpoint
• Use JSON endpoint for simple text-to-image when you don't need file uploads
• Use unified endpoint when you need Image-to-Image capabilities
• Check model features at https://imagerouter.io/models (quality support, edit support, etc.)
• Get your API key at https://imagerouter.io/api-keys

Examples by Use Case

Quick test generation:

curl 'https://api.imagerouter.io/v1/openai/images/generations' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  --json '{"prompt":"test image","model":"test/test"}'

Download image directly:

curl 'https://api.imagerouter.io/v1/openai/images/generations' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  --json '{"prompt":"abstract art","model":"test/test"}' \
  | jq -r '.data[0].url' \
  | xargs curl -o output.webp