Artisan bread editorial
Hand-torn sourdough loaf on a linen-covered oak table, open crumb in sharp detail, soft winter window light, a few flour traces, quiet editorial food photography, warm restrained palette.
Test the workflow,
not the marketing claim.
The examples specify appetite cues, texture, steam, crumbs, surface styling, depth of field, and composition so teams can evaluate food realism instead of generic prettiness.
Ramen night market
Steaming bowl of shoyu ramen at a compact night-market counter, amber lantern light, rain reflections behind, precise noodles and toppings, candid documentary food photography, shallow depth of field.
Chocolate macro texture
Macro photograph of a dark chocolate bar breaking, crisp snap edge, cocoa particles suspended in side light, near-black brown background, premium ingredient campaign, physically plausible texture.
Seasonal salad overhead
Top-down spring salad with peas, asparagus ribbons, herbs and lemon dressing in a handmade white bowl, pale stone table, fresh daylight, natural irregular arrangement, cookbook editorial style.
Pastry window campaign
French pastry arrangement behind a sunlit cafe window, reflections of spring trees layered across the glass, butter-rich texture, elegant editorial food photography, warm cream and pistachio palette.
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.