Model API · REPRODUCIBLE GUIDE

Gemini 2.5 Flash Image API Example and QA Workflow

Run Gemini 2.5 Flash image requests with structured prompts, dated measurements, and task-specific checks for commercial image workflows.

One API gateway for multiple AI models.

APIMart is a multi-model AI API gateway with an OpenAI-compatible endpoint. Use one account to access supported image models, compare current pricing, and choose a cost-efficient option for each workload.

Create an APIMart account ↗
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WHY THIS GUIDE EXISTS

Test the workflow,
not the marketing claim.

Instead of presenting an isolated code fragment, this guide connects the request to product, character, and architecture fixtures and shows which attributes to inspect when speed, instruction following, and usable output quality all matter.

Ecommerce

Transparent headphones cutout

Over-ear headphones isolated as a clean ecommerce cutout, transparent background, accurate soft edge detail around fabric ear pads, neutral product color, no floor, no text, no added accessories.
Transparent catalog asset1:1
Characters

Forest ranger character sheet

Character sheet for Mara, a forest ranger with cropped auburn hair, olive field jacket, brass compass and worn canvas backpack; front, profile and three-quarter views; neutral studio background; consistent facial features.
Identity consistency fixture3:2
Architecture

Coastal house at dusk

Low modern coastal house at blue hour, weathered cedar and board-formed concrete, dune grasses moving in sea wind, warm interior light, realistic architectural photography, human-scale lens.
Exterior visualization16:9
PYTHON QUICKSTART

Keep the request reproducible.

Store credentials in the environment. Record the exact model identifier, dimensions, test date, and retry count with the resulting asset.

import os
from openai import OpenAI

client = OpenAI(
  api_key=os.environ["APIMART_API_KEY"],
  base_url="https://api.apimart.ai/v1",
)

result = client.images.generate(
  model="gpt-image-1-official",
  prompt=PROMPT,
  size="1024x1024",
  n=1,
)
REVIEW CHECKLIST

Before you publish a result