Imagen 4 Ultra Preview

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

• imagen-4.0-ultra-generate-preview-06-06

Model Overview

Google’s highest quality image generation model as of July 2025. Supports automatic AI prompt enhancement and pre-moderation of generated content.

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

access-token

Body

application/json

modelundefined · enumRequiredPossible values:

promptstring · max: 400Required

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

convert_base64_to_urlbooleanOptional

If True, the URL to the image will be returned; otherwise, the file will be provided in base64 format.

Default: true

num_imagesinteger · max: 4Optional

The number of images to generate.

Default: 1

seedinteger · max: 4294967295Optional

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

enhance_promptbooleanOptional

Optional parameter to use an LLM-based prompt rewriting feature for higher-quality images that better match the original prompt. Disabling it may affect image quality and prompt alignment.

Default: true

aspect_ratiostring · enumOptional

The aspect ratio of the generated image.

Default: 1:1Possible values:

person_generationstring · enumOptional

Allow generation of people.

Default: allow_adultPossible values:

safety_settingstring · enumOptional

Adds a filter level to safety filtering.

Default: block_medium_and_abovePossible values:

add_watermarkbooleanOptional

Add an invisible watermark to the generated images.

Default: false

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: 'imagen-4.0-ultra-generate-preview-06-06',
      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
import json   # for getting a structured output with indentation

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": "imagen-4.0-ultra-generate-preview-06-06",
            "aspect_ratio": "16:9"
        }
    )

    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: 'imagen-4.0-ultra-generate-preview-06-06',
      prompt: 'Racoon eating ice-cream',
      aspect_ratio: '16:9'
    }),
  });

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

main();

Response

{
  data: [
    {
      mime_type: 'image/png',
      url: 'https://cdn.aimlapi.com/generations/guepard/1756971509123-7ed4055c-1878-47c5-a060-7202392b78a2.png',
      prompt: "A curious raccoon is sitting upright on a weathered wooden picnic table, intensely focused on eating a melting ice cream cone. The raccoon holds the cone delicately in its paws, with sticky ice cream smeared around its mouth and on its fur. The ice cream is a vibrant strawberry pink color, dripping down the cone onto the table surface. Its mask-like facial markings are prominent, and its dark eyes are wide with concentration. The setting is a lush green park during golden hour, with soft, warm sunlight filtering through the background trees, creating a gentle bokeh effect. Empty picnic benches are visible in the soft-focus background. The wooden table is slightly worn, with visible grain and a few scattered leaves. The lighting is natural and warm, highlighting the raccoon's fur and the glistening ice cream."
    }
  ]
}

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.