Test the workflow,
not the marketing claim.
The comparison separates visual richness from operational fit by examining product staging, transparent-output compliance, dense interface hierarchy, architecture detail, and the time required to obtain one accepted image.
Editorial product photograph of a matte ceramic skincare bottle on pale limestone, soft north-window light, delicate contact shadow, warm neutral palette, 85mm lens compression, no text, no logo.
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.
Climate intelligence dashboard
Editorial analytics dashboard for a climate intelligence product, dense but legible information hierarchy, off-white canvas, dark graphite type, acid green data accents, modular card grid, desktop viewport.
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.
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,
)Before you publish a result
- Record model ID, parameters, date, latency, and retry count.
- Review instruction following and protected attributes.
- Flag invented text, marks, anatomy, or unwanted objects.
- Keep the raw output linked to the original fixture.
- Do not claim a universal winner from one prompt.