Elegant Afternoon Tea Setting
DALL·EElegant Afternoon Tea Setting is a tested DALL·E GPT Image 2 (ChatGPT) prompt for invitations 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
An elegant afternoon tea setting, three-tiered stand with finger sandwiches, scones, and pastel macarons, porcelain teacups with floral pattern, silver teapot, lace tablecloth, soft natural light, no people, no text, refined British tea photography
Settings
- Model
- DALL·E GPT Image 2 (ChatGPT)
- Aspect ratio
- 4:5
How to use this prompt
Afternoon tea shots need vertical height from the tiered stand. Each tier should show a different treat. Porcelain and silver add refinement. The 4:5 frame suits vertical invite inspiration. Soft natural light keeps it delicate. Keep the floral teacup pattern subtle; busy patterns compete with the food.
Variations to try
- Modern afternoon tea — clean white ceramics and minimal styling
- Garden tea setting — flowers and greenery in the background
Explore collections
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": "Elegant Afternoon Tea Setting",
"prompt": "An elegant afternoon tea setting, three-tiered stand with finger sandwiches, scones, and pastel macarons, porcelain teacups with floral pattern, silver teapot, lace tablecloth, soft natural light, no people, no text, refined British tea photography",
"model": "DALL·E",
"model_version": "GPT Image 2 (ChatGPT)",
"settings": {
"aspect_ratio": "4:5"
},
"style_tags": [
"elegant",
"vintage"
],
"use_case_tags": [
"invitations",
"marketing"
],
"source_url": "https://promptkoi.com/prompts/dalle/elegant-afternoon-tea-setting/"
} The whole library is available as an open JSON dataset · developer docs.