Imagen 4 Ultra Generate

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

• google/imagen-4.0-ultra-generate-001

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Model Overview

A model built for photorealistic image generation and precise text rendering, suited for high-fidelity professional use.

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:

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

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/imagen-4.0-ultra-generate-001",
    "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   # 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": "google/imagen-4.0-ultra-generate-001",
            "aspect_ratio": "16:9"
        }
    )

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

if __name__ == "__main__":
    main()

JS

Response

{
  "data": [
    {
      "mime_type": "image/png",
      "url": "https://cdn.aimlapi.com/generations/guepard/1758237214798-b22381b0-cc4c-466c-92f4-c3b2531d7ebf.png",
      "prompt": "A curious raccoon sitting upright on a park bench, intently focused on licking a melting scoop of vanilla ice cream in a waffle cone. The raccoon has its small paws wrapped around the cone, and a tiny bit of ice cream is smeared on its nose and whiskers. The fur is ruffled and slightly damp from the treat. The park setting is sunny with dappled light filtering through the leaves of a large oak tree in the background. Autumn leaves are scattered on the ground near the bench. The ice cream is dripping slightly down the cone, and a small puddle is forming on the wooden bench. The image is captured at eye level with the raccoon."
    }
  ],
  "meta": {
    "usage": {
      "tokens_used": 126000
    }
  }
}

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.