Sleek Smartphone on Marble Surface
DALL·ESleek Smartphone on Marble Surface is a tested DALL·E GPT Image 2 (ChatGPT) prompt for product photography work. It runs at DALL·E GPT Image 2 (ChatGPT) · Aspect ratio 1:1, 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 · see more minimalist prompts .
Prompt
A sleek smartphone on marble surface, modern smartphone lying flat on white marble with subtle grey veins, soft shadow, clean minimal background, blank dark screen, no text, no logos, premium tech product photography
Settings
- Model
- DALL·E GPT Image 2 (ChatGPT)
- Aspect ratio
- 1:1
How to use this prompt
Smartphone product shots need the device to look premium without distraction. White marble provides subtle texture while staying neutral. A blank screen avoids garbled interface text. The shadow grounds the phone and prevents it from floating. The 1:1 frame centers the device symmetrically, which feels confident and app-store ready.
Variations to try
- Lifestyle phone — phone beside coffee and earbuds for a use-case shot
- Dark phone — black marble background for a dramatic campaign
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": "Sleek Smartphone on Marble Surface",
"prompt": "A sleek smartphone on marble surface, modern smartphone lying flat on white marble with subtle grey veins, soft shadow, clean minimal background, blank dark screen, no text, no logos, premium tech product photography",
"model": "DALL·E",
"model_version": "GPT Image 2 (ChatGPT)",
"settings": {
"aspect_ratio": "1:1"
},
"style_tags": [
"minimalist",
"modern"
],
"use_case_tags": [
"product-photography",
"marketing"
],
"source_url": "https://promptkoi.com/prompts/dalle/sleek-smartphone-on-marble-surface/"
} The whole library is available as an open JSON dataset · developer docs.