Cute Corgi Puppy on a Picnic Blanket
DALL·ECute Corgi Puppy on a Picnic Blanket is a tested DALL·E GPT Image 2 (ChatGPT) prompt for pet portraits work. It runs at DALL·E GPT Image 2 (ChatGPT) · Aspect ratio 4:5, 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.
Prompt
A cute corgi puppy on a picnic blanket, short-legged corgi sitting on a checkered blanket with a basket and apples, sunny meadow background, soft afternoon light, no text, no people, cheerful pet photography
Settings
- Model
- DALL·E GPT Image 2 (ChatGPT)
- Aspect ratio
- 4:5
How to use this prompt
Corgi picnic shots gain charm from the breed proportions against everyday objects. The short legs and long body look endearing next to a basket. A checkered blanket gives pattern but must be angled so it does not fight the dog. Soft afternoon light keeps the scene warm and avoids harsh shadows on the fur. Apples add color and a picnic story.
Variations to try
- Beach corgi — puppy on sand with a tiny umbrella for summer content
- Autumn corgi — leaves and a pumpkin for a seasonal post
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": "Cute Corgi Puppy on a Picnic Blanket",
"prompt": "A cute corgi puppy on a picnic blanket, short-legged corgi sitting on a checkered blanket with a basket and apples, sunny meadow background, soft afternoon light, no text, no people, cheerful pet photography",
"model": "DALL·E",
"model_version": "GPT Image 2 (ChatGPT)",
"settings": {
"aspect_ratio": "4:5"
},
"style_tags": [
"cute",
"candid"
],
"use_case_tags": [
"pet-portraits",
"social-media"
],
"source_url": "https://promptkoi.com/prompts/dalle/cute-corgi-puppy-on-a-picnic-blanket/"
}The whole library is available as an open JSON dataset · developer docs.
