Gemini 2.5 Flash Image

This documentation is valid for the following list of our models:

• google/gemini-2.5-flash-image

Model Overview

Google’s smartest image generation model as of August 2025.

Images produced or modified with Gemini 2.5 Flash Image carry an invisible SynthID digital watermark, allowing them to be recognized as AI-generated or edited.

Setup your API Key

If you don’t have an API key for the AI/ML API yet, feel free to use our Quickstart guide.

API Schema

post

Authorizations

Body

modelundefined · enumRequiredPossible values:

promptstringRequired

The text prompt describing the content, style, or composition of the image to be generated.

num_imagesnumber · min: 1 · max: 4Optional

The number of images to generate.

Default: 1

Responses

201

Successfully generated image

application/json

post

JavaScriptPythoncURLHTTP

async function main() {
  const response = await fetch('https://api.aimlapi.com/v1/images/generations', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer <YOUR_AIMLAPI_KEY>',
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      model: 'google/gemini-2.5-flash-image',
      prompt: 'A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses.',
    }),
  });

  const data = await response.json();
  console.log(JSON.stringify(data, null, 2));
}

main();

201

Successfully generated image

{
  "status": "text",
  "prompt": [
    "text"
  ],
  "model": "text",
  "model_owner": "text",
  "tags": {
    "ANY_ADDITIONAL_PROPERTY": null
  },
  "num_returns": 1,
  "args": {
    "model": "text",
    "prompt": "text",
    "n": 1,
    "steps": 1,
    "size": "text"
  },
  "subjobs": [],
  "output": {
    "choices": [
      {
        "image_base64": "text"
      }
    ]
  }
}

Quick Example

Let's generate an image of the specified aspect ratio using a simple prompt.

Python

import requests


def main():
    response = requests.post(
        "https://api.aimlapi.com/v1/images/generations",
        headers={
            # Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
            "Authorization": "Bearer <YOUR_AIMLAPI_KEY>",
            "Content-Type": "application/json",
        },
        json={
            "model": "google/gemini-2.5-flash-image",
            "prompt": "Racoon eating ice-cream"
        }
    )

    response.raise_for_status()
    data = response.json()

    print("Generation:", data)


if __name__ == "__main__":
    main()

JS

async function main() {
  try {
    const response = await fetch('https://api.aimlapi.com/v1/images/generations', {
      method: 'POST',
      headers: {
        // Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
        'Authorization': 'Bearer <YOUR_AIMLAPI_KEY>',
        'Content-Type': 'application/json',
      },
      body: JSON.stringify({
        model: 'google/gemini-2.5-flash-image',
        prompt: 'Racoon eating ice-cream',
        aspect_ratio: '16:9'
      }),
    });

  } catch (error) {
    console.error('Error:', error);
  }
}

main();

Response

Generation: {'images': [{'url': 'https://cdn.aimlapi.com/eagle/files/elephant/Ltdy-0QLZAnyBGLRyh-pP.jpeg', 'content_type': None, 'file_name': None, 'file_size': None}], 'description': "Sounds adorable! Here's a racoon enjoying some ice cream: "}

So we obtained the following 1024x1024 image by running this code example:

In reality, raccoons shouldn’t be given ice cream or chocolate—it’s harmful to their metabolism. But in the AI world, raccoons party like there’s no tomorrow.