Name: Gemini 2.5 Flash Image Edit API
Brand: Google

Overview

What is Gemini 2.5 Flash Image Edit API?

Gemini 2.5 Flash Image Edit enables text-guided image editing powered by Google's Gemini 2.5 Flash model.

Technical Specifications
- Supported inputs: Image, Text
- Output: Image
- Endpoint: /images/generations

Performance Benchmarks
[embed]

Gemini 2.5 Flash Image Edit API Pricing
- Pricing on request

Where to Use Gemini 2.5 Flash Image Edit

High-volume image generation
Produce product visuals, thumbnails, and marketing assets programmatically at scale.

Creative and concept art
Turn text prompts into illustrations, mockups, and design explorations.

Image editing and variations
Provide a reference image to guide edits, restyles, or variations.

Code Sample
[embed]

Uptime and performance

Uptime (7d): 100%

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

Multi-image fusion: the model is documented as able to combine multiple input images into one seamless visual, letting you merge references into a single result.

Character and style consistency: it is documented as suited to keeping the same subject, character, or visual style consistent across multiple generations, which helps preserve identity in storytelling or repeated scenes.

Conversational editing: it is documented as suited to targeted image edits from natural-language instructions, including changes like blurring backgrounds, removing objects or people, altering poses, adding color to black-and-white photos, and fixing small details.

Scene composition and restyling: it is documented as able to place an object into a scene or restyle a room with a chosen color scheme or texture using a single prompt.

How to use Gemini 2.5 Flash Image Edit API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to gemini-25-flash-image/edit.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/images/generations",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "gemini-25-flash-image/edit",
      "prompt": "A cat holding a sign that says hello"
    },
)
print(r.json())

const r = await fetch("https://api.aimlapi.com/v1/images/generations", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "gemini-25-flash-image/edit",
    "prompt": "A cat holding a sign that says hello"
  }),
});
console.log(await r.json());

curl -X POST https://api.aimlapi.com/v1/images/generations \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gemini-25-flash-image/edit","prompt":"A cat holding a sign that says hello"}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.