Vintage Leather Suitcase
DALL·EVintage Leather Suitcase is a tested DALL·E GPT Image 2 (ChatGPT) prompt for marketing 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 · see more vintage prompts .
Prompt
A vintage leather suitcase, aged brown leather suitcase with brass buckles and worn corners, travel stickers partially visible, resting on a wooden floor beside a window, warm nostalgic light, no people, no text, travel still life photography
Settings
- Model
- DALL·E GPT Image 2 (ChatGPT)
- Aspect ratio
- 3:2
How to use this prompt
Vintage suitcase shots need texture and history. Scuffed leather, tarnished brass, and peeling travel stickers each tell a story. Warm window light emphasizes the leather grain. The 3:2 frame captures the suitcase and floor space. Keep stickers illegible to avoid invented place names. A slight angle, not straight-on, adds dimension and energy.
Variations to try
- Stacked vintage luggage — two or three suitcases for a travel shop scene
- Suitcase open — packed with folded clothes for a departure mood
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": "Vintage Leather Suitcase",
"prompt": "A vintage leather suitcase, aged brown leather suitcase with brass buckles and worn corners, travel stickers partially visible, resting on a wooden floor beside a window, warm nostalgic light, no people, no text, travel still life photography",
"model": "DALL·E",
"model_version": "GPT Image 2 (ChatGPT)",
"settings": {
"aspect_ratio": "3:2"
},
"style_tags": [
"vintage",
"travel"
],
"use_case_tags": [
"marketing",
"wall-art"
],
"source_url": "https://promptkoi.com/prompts/dalle/vintage-leather-suitcase/"
} The whole library is available as an open JSON dataset · developer docs.