Modern Mudroom with Lockers
DALL·EModern Mudroom with Lockers is a tested DALL·E GPT Image 2 (ChatGPT) prompt for interior design work. It runs at DALL·E GPT Image 2 (ChatGPT) · Aspect ratio 3:2, 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 modern mudroom with lockers, built-in white lockers with hooks and woven baskets, wooden bench with navy cushion, patterned tile floor, natural light from a side window, no people, no text, contemporary home entry interior
Settings
- Model
- DALL·E GPT Image 2 (ChatGPT)
- Aspect ratio
- 3:2
How to use this prompt
Mudrooms need to look organized. Built-in lockers with hooks, a bench, and baskets below create the system. The 3:2 frame shows the full locker run. A neutral palette with one bold accent — like a navy bench cushion — keeps it modern. Keep shoes and coats minimal; a pile of gear defeats the purpose. A window above the bench brings in natural light.
Variations to try
- Farmhouse mudroom — wood lockers and shiplap walls for a country look
- Small mudroom — compact bench with overhead cubbies for a narrow entry
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": "Modern Mudroom with Lockers",
"prompt": "A modern mudroom with lockers, built-in white lockers with hooks and woven baskets, wooden bench with navy cushion, patterned tile floor, natural light from a side window, no people, no text, contemporary home entry interior",
"model": "DALL·E",
"model_version": "GPT Image 2 (ChatGPT)",
"settings": {
"aspect_ratio": "3:2"
},
"style_tags": [
"modern",
"minimalist"
],
"use_case_tags": [
"interior-design",
"marketing"
],
"source_url": "https://promptkoi.com/prompts/dalle/modern-mudroom-with-lockers/"
} The whole library is available as an open JSON dataset · developer docs.