Fresh Citrus Fruit Arrangement
DALL·EFresh Citrus Fruit Arrangement is a tested DALL·E GPT Image 2 (ChatGPT) prompt for marketing work. It runs at DALL·E GPT Image 2 (ChatGPT) · Aspect ratio 1:1, and ships below with the exact prompt text, usage notes, and 2 pasteable variations.
Last tested: July 2026 with DALL·E GPT Image 2 (ChatGPT)
Part of the DALL·E prompt library.
Prompt
A fresh citrus fruit arrangement, bright oranges, lemons, limes, and grapefruits piled in a rustic woven bowl on a white linen tablecloth, natural daylight, small leaves and blossoms scattered, no text, no logos, fresh produce photography
Settings
- Model
- DALL·E GPT Image 2 (ChatGPT)
- Aspect ratio
- 1:1
How to use this prompt
Citrus photos need the full color range — orange, yellow, green, pink — to look abundant and vibrant. The woven bowl grounds the scene in rustic authenticity; a glass bowl feels too modern. Scattered leaves and blossoms add the just-picked freshness cue. Natural daylight keeps the colors true; artificial light makes citrus look plastic.
Variations to try
- Sliced citrus — cross-sections showing juicy segments for a juice brand
- Market crate — wooden crate overflowing with citrus for a farm stand feel
What to do next
Adapt it →
Open this prompt in the DALL·E builder, pre-filled, and change one layer at a time.
Explore more →
Browse the full DALL·E prompt library — every entry tested with its settings.
For developers — copy this prompt as JSON
{
"title": "Fresh Citrus Fruit Arrangement",
"prompt": "A fresh citrus fruit arrangement, bright oranges, lemons, limes, and grapefruits piled in a rustic woven bowl on a white linen tablecloth, natural daylight, small leaves and blossoms scattered, no text, no logos, fresh produce photography",
"model": "DALL·E",
"model_version": "GPT Image 2 (ChatGPT)",
"settings": {
"aspect_ratio": "1:1"
},
"style_tags": [
"fresh",
"food-photography"
],
"use_case_tags": [
"marketing",
"social-media"
],
"source_url": "https://promptkoi.com/prompts/dalle/fresh-citrus-fruit-arrangement/"
} The whole library is available as an open JSON dataset · developer docs.