Gemini 2.5 Flash Image (Nano Banana)

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

• google/gemini-2.5-flash-image

Try in Playground

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

Body

application/json

modelstring · 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

aspect_ratiostring · enumOptional

The aspect ratio of the generated image.

Default: 1:1Possible values:

providerstringOptional

Provider routing override. google runs native Google with no fallback; fal runs the fal.ai mirror; auto (default) uses the Google -> fal.ai fallback chain. Case-insensitive.

Example: auto

Responses

200Success

application/json

post/v1/images/generations

cURLJavaScriptPython

curl -L \
  --request POST \
  --url 'https://api.aimlapi.com/v1/images/generations' \
  --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "google/gemini-2.5-flash-image",
    "prompt": "A T-Rex relaxing on a beach, lying on a sun lounger and wearing sunglasses."
  }'

200Success

{
  "data": [
    {
      "url": "https://cdn.aimlapi.com/generations/hedgehog/1749730923700-29fe35d2-4aef-4bc5-a911-6c39884d16a8.png",
      "b64_json": null
    }
  ],
  "meta": {
    "usage": {
      "credits_used": 120000
    }
  }
}

Quick Example

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

Python

import requests
import json

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"
        }
    )

    data = response.json()
    print(json.dumps(data, indent=2, ensure_ascii=False))

if __name__ == "__main__":
    main()

JS

async function main() {
  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'
    }),
  });

  const data = await response.json();
  console.log(data);
}

main();

Response

{
  images: [
    {
      url: 'https://cdn.aimlapi.com/eagle/files/zebra/VVpZmbuvMBg3k7OqJ8UnP.jpeg',
      content_type: 'image/jpeg',
      file_name: 'output.jpeg',
      file_size: null
    }
  ],
  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.