Autumn Pumpkin Patch Scene
DALL·EAutumn Pumpkin Patch Scene is a tested DALL·E GPT Image 2 (ChatGPT) prompt for wall art 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 cozy prompts .
Prompt
An autumn pumpkin patch scene, wooden cart filled with orange pumpkins and gourds, scattered hay bales, red maple leaves on the ground, soft golden afternoon light, no people, no text, cozy fall photography
Settings
- Model
- DALL·E GPT Image 2 (ChatGPT)
- Aspect ratio
- 3:2
How to use this prompt
Pumpkin patch scenes need a clear focal cart or pile. Pumpkins in varied sizes and a few warty gourds add visual interest. Hay bales provide height and rustic context. Golden afternoon light is essential; overhead sun makes orange pumpkins look flat. The 3:2 frame captures the ground leaves and the cart. Keep the palette warm; cool tones fight the autumn mood. A few red leaves on the ground add color rhythm.
Variations to try
- Pumpkins on porch — steps lined with pumpkins for a home scene
- White pumpkin patch — pale gourds for a neutral autumn palette
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": "Autumn Pumpkin Patch Scene",
"prompt": "An autumn pumpkin patch scene, wooden cart filled with orange pumpkins and gourds, scattered hay bales, red maple leaves on the ground, soft golden afternoon light, no people, no text, cozy fall photography",
"model": "DALL·E",
"model_version": "GPT Image 2 (ChatGPT)",
"settings": {
"aspect_ratio": "3:2"
},
"style_tags": [
"cozy",
"seasonal"
],
"use_case_tags": [
"wall-art",
"marketing"
],
"source_url": "https://promptkoi.com/prompts/dalle/autumn-pumpkin-patch-scene/"
} The whole library is available as an open JSON dataset · developer docs.