Macrame Plant Hanger on White Wall
ChatGPT (DALL·E)Macrame Plant Hanger on White Wall is a tested ChatGPT (DALL·E) GPT Image 2 prompt for interior design work. It runs at ChatGPT (DALL·E) GPT Image 2 · Aspect ratio 4:5, and ships below with the exact prompt text, usage notes, and 2 pasteable variations.
Last tested: July 2026 with ChatGPT (DALL·E) GPT Image 2
Part of the ChatGPT (DALL·E) prompt library · see more botanical prompts .
How to use this prompt
The white wall is doing the compositional work; it gives the macrame knots and the plant silhouette a place to stand out. Soft natural daylight creates the gentle shadows that make the weave look dimensional. Keep props to one pot and one plant; DALL-E will otherwise crowd the hanger with shelves and candles. The fringe at the bottom should fall freely; a cramped crop makes the hanger look like a wall sconce. If the macrame pattern looks messy, ask for "simple square knots". 4:5 is the vertical ratio that shows the full hanger.
Variations to try
- Colorful version: use a dusty pink wall and a mustard-yellow macrame cord
- Bathroom version: hang the planter above a vintage clawfoot tub with natural light
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What to do next
Adapt it →
Open this prompt in the ChatGPT (DALL·E) builder, pre-filled, and change one layer at a time.
Explore more →
Browse the full ChatGPT (DALL·E) prompt library — every entry tested with its settings.
For developers — copy this prompt as JSON
{
"title": "Macrame Plant Hanger on White Wall",
"prompt": "macrame plant hanger on a clean white wall, a trailing pothos in a terracotta pot, soft natural daylight, gentle shadows, modern bohemian interior detail, minimalist styling, no text, no logos",
"model": "ChatGPT (DALL·E)",
"model_version": "GPT Image 2 (ChatGPT)",
"settings": {
"aspect_ratio": "4:5"
},
"style_tags": [
"botanical",
"minimalist"
],
"use_case_tags": [
"interior-design",
"pinterest-pins"
],
"source_url": "https://promptkoi.com/prompts/dalle/macrame-plant-hanger-wall/"
}The whole library is available as an open JSON dataset · developer docs.
