Modern Workspace with Plants
DALL·EModern Workspace with Plants 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 16:9, 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 workspace with plants, sleek white desk with laptop, notebook, and ceramic mug, several potted houseplants around the monitor, natural light from a nearby window, no people, no text, clean productivity photography
Settings
- Model
- DALL·E GPT Image 2 (ChatGPT)
- Aspect ratio
- 16:9
How to use this prompt
Plant-filled workspaces need the greenery to frame the desk, not overwhelm it. A few varied plants at different heights add life. Natural light keeps the scene fresh. The 16:9 frame suits wide banners. Keep the desk surface clean; plants already add complexity. The laptop screen should be dark or neutral to avoid invented screen content.
Variations to try
- Boho workspace — macrame and trailing plants for a softer look
- Minimal plant workspace — single large monstera for impact
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 Workspace with Plants",
"prompt": "A modern workspace with plants, sleek white desk with laptop, notebook, and ceramic mug, several potted houseplants around the monitor, natural light from a nearby window, no people, no text, clean productivity photography",
"model": "DALL·E",
"model_version": "GPT Image 2 (ChatGPT)",
"settings": {
"aspect_ratio": "16:9"
},
"style_tags": [
"modern",
"minimal"
],
"use_case_tags": [
"interior-design",
"marketing"
],
"source_url": "https://promptkoi.com/prompts/dalle/modern-workspace-with-plants/"
} The whole library is available as an open JSON dataset · developer docs.