Promptkoi

Boho Woven Bedside Rug

DALL·E
By Varun Sharma Tested with DALL·E GPT Image 2 (ChatGPT)

Boho Woven Bedside Rug 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 2:3, 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.

Round woven jute rug with fringe beside a low bed with white linens and a small potted succulent
Boho Woven Bedside Rug — DALL·E GPT Image 2 (ChatGPT), Aspect ratio 2:3

Prompt

A boho woven bedside rug, round woven jute rug with fringe beside a low bed with white linens, small potted succulent, soft morning light, no people, no text, cozy bohemian bedroom photography

Settings

Model
DALL·E GPT Image 2 (ChatGPT)
Aspect ratio
2:3

How to use this prompt

Bedside rug shots need the rug to be the focus but the bed to provide context. A round woven rug with fringe adds texture. The 2:3 vertical frame suits the bedside area. White linens keep the scene calm. Soft morning light shows the weave. Keep the rug slightly under the bed; a rug floating in the middle of the floor looks disconnected.

Variations to try

  • Large round rug — centered under the bed for a full view
  • Patterned bedside rug — geometric weave for added interest
boho minimal interior design wall art

What to do next

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For developers — copy this prompt as JSON
{
  "title": "Boho Woven Bedside Rug",
  "prompt": "A boho woven bedside rug, round woven jute rug with fringe beside a low bed with white linens, small potted succulent, soft morning light, no people, no text, cozy bohemian bedroom photography",
  "model": "DALL·E",
  "model_version": "GPT Image 2 (ChatGPT)",
  "settings": {
    "aspect_ratio": "2:3"
  },
  "style_tags": [
    "boho",
    "minimal"
  ],
  "use_case_tags": [
    "interior-design",
    "wall-art"
  ],
  "source_url": "https://promptkoi.com/prompts/dalle/boho-woven-bedside-rug/"
}

The whole library is available as an open JSON dataset · developer docs.