Test the workflow,
not the marketing claim.
Product teams need more than attractive samples, so the evaluation covers shape fidelity, surface treatment, label risk, edge quality, reusable lighting direction, throughput, and the effective cost of an accepted catalog or campaign asset.
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.
Wool chair catalog scene
Sculptural lounge chair upholstered in oatmeal wool, three-quarter angle in a quiet daylight studio, seamless warm-gray wall and floor, realistic material texture, soft contact shadow, catalog photography.
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.
Running shoe impact
Technical running shoe frozen above a red clay track at impact, fine dust particles suspended in air, directional hard sunlight, visible outsole detail, energetic diagonal composition, commercial sports photography.
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.