Summer drink social ad
Bright summer beverage can on crushed ice, coral and turquoise color blocking, hard flash photography, realistic condensation, product occupies the lower two-thirds, clean space above for campaign copy, no text.
Test the workflow,
not the marketing claim.
The example is structured for application teams that need a clear request boundary, predictable error handling, dated model identifiers, and metadata that can be stored beside generated assets for later regression testing.
Smart speaker studio
Compact smart speaker in graphite fabric on a deep charcoal pedestal, subtle violet rim light, precise mesh texture, controlled reflections, high-end consumer electronics launch photography, centered composition.
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.
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.