Imagen 4 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 · enumOptionalDefault:
The aspect ratio of the generated image.
1:1
Possible 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: 4OptionalDefault:
The number of images to generate.
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
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.
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()
So we obtained the following 1408x768 image by running this code example:

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