Bright Lemonade Stand Summer Scene
DALL·EBright Lemonade Stand Summer Scene is a tested DALL·E GPT Image 2 (ChatGPT) prompt for marketing work. It runs at DALL·E GPT Image 2 (ChatGPT) · Aspect ratio 4:5, 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 bright lemonade stand summer scene, cheerful wooden stand with a striped awning, glass pitcher of lemonade, sliced lemons, mason jar cups, sunny front-yard setting with green grass, no people, no text, nostalgic Americana photography
Settings
- Model
- DALL·E GPT Image 2 (ChatGPT)
- Aspect ratio
- 4:5
How to use this prompt
The striped awning is the instant visual cue that this is a lemonade stand rather than a generic picnic table. Sliced lemons and a glass pitcher add freshness and transparency; a closed pitcher hides the product. Front-yard grass and sunny light give it the nostalgic Americana mood — a plain backdrop makes it feel like a commercial stock photo.
Variations to try
- Beach stand — palm fronds, sand, and surfboards for a tropical summer brand
- Evening stand — string lights and candles for a night-market lemonade vibe
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": "Bright Lemonade Stand Summer Scene",
"prompt": "A bright lemonade stand summer scene, cheerful wooden stand with a striped awning, glass pitcher of lemonade, sliced lemons, mason jar cups, sunny front-yard setting with green grass, no people, no text, nostalgic Americana photography",
"model": "DALL·E",
"model_version": "GPT Image 2 (ChatGPT)",
"settings": {
"aspect_ratio": "4:5"
},
"style_tags": [
"bright",
"nostalgic"
],
"use_case_tags": [
"marketing",
"social-media"
],
"source_url": "https://promptkoi.com/prompts/dalle/bright-lemonade-stand-summer-scene/"
} The whole library is available as an open JSON dataset · developer docs.