Test the workflow,
not the marketing claim.
A checkerboard-looking background is not proof of transparency, so this workflow includes pixel-format inspection, alpha-channel verification, edge review, shadow rules, and repeatable fixtures for ecommerce asset pipelines.
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 cosmetics set
Three cosmetic containers isolated on a transparent background, accurate translucent glass edges, pumps and caps fully visible, consistent front-facing alignment, no floor shadow, no lettering.
Transparent toy robot
Friendly modular toy robot isolated on transparent background, injection-molded plastic surfaces, crisp silhouette, all limbs visible, front three-quarter view, even studio illumination, no text.
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.