Image Generation

Generate images with any model available on ImageRouter.

Curl

curl 'https://api.imagerouter.io/v1/openai/images/generations' \
-H 'Authorization: Bearer YOUR_API_KEY' \
-H 'Content-Type: application/json' \
--data-raw '{"prompt": "YOUR_PROMPT", "model": "test/test"}'

Javascript

const url = 'https://api.imagerouter.io/v1/openai/images/generations';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer YOUR_API_KEY', 'Content-Type': 'application/json'},
  body: '{"prompt": "YOUR_PROMPT", "model": "test/test"}'
};

const response = await fetch(url, options);
const data = await response.json();
console.log(data);

Python

import requests

url = "https://api.imagerouter.io/v1/openai/images/generations"
payload = {
  "prompt": "YOUR_PROMPT",
  "model": "test/test",
}
headers = {
  "Authorization": "Bearer YOUR_API_KEY",
  "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)
print(response.json())

Parameners:

• prompt* Text prompt for generating images.
• model* Image model to use for generation.
• quality Not all models support this. Compatible models have “quality” feature label here
  • auto [default] - Usually points to “medium”, but some models (eg. gpt-image-1) automatically adjust quality based on your prompt.
  • low
  • medium
  • high
• size - Accepted values are different for each model. Some models and providers completely ignore size.
  • auto [default] - Uses the default recommended size for each model. Some models (eg. gpt-image-1) automatically adjust size based on your prompt.
  • WIDTHxHEIGHT (eg 1024x1024)
• response_format
  • url [default] - Returns the image URL hosted on ImageRouter’s servers. The image is saved in your logs. and is publicly accessible with the URL if you share it.
  • b64_json - Returns the image as base64-encoded JSON data. The image is saved in your logs. and is publicly accessible with the URL if you share it.
  • b64_ephemeral - Same as b64_json but the image is not saved in our system. The provider may still have it.
• image[] Input image(s) for supported image editing models.
• mask[] Some models require a mask file to specify areas to edit.

Please contact me if you miss anything.