Imagen 4 Preview

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

• google/imagen4/preview

Model Overview

Google’s highest quality image generation model as of May 2025.

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:

aspect_ratiostring · enumOptional

The aspect ratio of the generated image.

Default: 1:1Possible values:

negative_promptstringOptional

The description of elements to avoid in the generated image.

promptstring · max: 4000Required

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

seedinteger · min: 1Optional

The same seed and the same prompt given to the same version of the model will output the same image every time.

Responses

201Success

post

HTTPcURLJavaScriptPython

POST /v1/images/generations HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Content-Type: application/json
Accept: */*
Content-Length: 120

{
  "model": "google/imagen4/preview",
  "aspect_ratio": "1:1",
  "negative_prompt": "text",
  "prompt": "text",
  "num_images": 1,
  "seed": 1
}

201Success

No content

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={
            "prompt": "Racoon eating ice-cream",
            "model": "google/imagen4/preview",
            "aspect_ratio": "16:9"
        }
    )

    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({
        prompt: 'Racoon eating ice-cream',
        model: 'google/imagen4/preview',
        aspect_ratio: '16:9'
      }),
    });

    if (!response.ok) {
      throw new Error(`HTTP error! Status: ${response.status}`);
    }

    const data = await response.json();
    console.log('Generation:', data);

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

main();

Response

Generation: {'images': [{'url': 'https://cdn.aimlapi.com/eagle/files/penguin/4ZNAvdmVu4PNSrRxSAb3X_output.png', 'content_type': 'image/png', 'file_name': 'output.png', 'file_size': 1697349}], 'seed': 595549216}

So we obtained the following 1408x768 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.