Gemini 2.5 Flash Image Edit
Model Overview
The model takes multiple images as input, with the prompt defining how they are used or combined.
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:
promptstringRequired
The text prompt describing the content, style, or composition of the image to be generated.
image_urlsstring · uri[]Required
List of URLs or local Base64 encoded images to edit.
num_imagesnumber · min: 1 · max: 4OptionalDefault:
The number of images to generate.
1
Responses
201
Successfully generated image
application/json
post
async function main() {
try {
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: 'google/gemini-2.5-flash-image-edit',
prompt: 'Combine the images so the T-Rex is wearing a business suit, sitting in a cozy small café, drinking from the mug. Blur the background slightly to create a bokeh effect.',
image_urls:[
'https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/t-rex.png',
'https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/blue-mug.jpg',
]
}),
});
const data = await response.json();
console.log(JSON.stringify(data, null, 2));
}
catch (error) {
console.error('Error', error);
}
}
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 size using a simple prompt.
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-edit",
"image_urls": [
"https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/t-rex.png",
"https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/blue-mug.jpg"
],
"prompt": "Combine the images so the T-Rex is wearing a business suit, sitting in a cozy small café, drinking from the mug. Blur the background slightly to create a bokeh effect.",
}
)
data = response.json()
print(json.dumps(data, indent=2, ensure_ascii=False))
if __name__ == "__main__":
main()
Reference Images
Generated Image


"Combine the images so the T-Rex is wearing a business suit, sitting in a cozy small café, drinking from the mug. Blur the background slightly to create a bokeh effect."

Last updated
Was this helpful?