Playful Kittens in a Yarn Basket
DALL·EPlayful Kittens in a Yarn Basket is a tested DALL·E GPT Image 2 (ChatGPT) prompt for pet portrait 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
two playful kittens tumbling in a basket of colorful yarn balls, soft afternoon light, cozy living room floor, fluffy fur, joyful pet photography, warm home atmosphere, no text, no logos
Settings
- Model
- DALL·E GPT Image 2 (ChatGPT)
- Aspect ratio
- 4:5
How to use this prompt
Two kittens create interaction; one kitten alone in yarn just looks cute. The yarn must spill out of the basket to show scale and movement. Soft afternoon light keeps the fur fluffy; flash makes the eyes glow unnaturally. Capture a moment where paws and yarn are mid-motion so it feels alive. If the kittens look too similar, add "one orange tabby and one grey kitten". 4:5 frames the basket and the scattered yarn trails. A cozy rug under the basket grounds the scene.
Variations to try
- Sleepy version: both kittens curled asleep on top of the yarn
- Holiday version: add a small Christmas ribbon to one kitten's collar
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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": "Playful Kittens in a Yarn Basket",
"prompt": "two playful kittens tumbling in a basket of colorful yarn balls, soft afternoon light, cozy living room floor, fluffy fur, joyful pet photography, warm home atmosphere, no text, no logos",
"model": "DALL·E",
"model_version": "GPT Image 2 (ChatGPT)",
"settings": {
"aspect_ratio": "4:5"
},
"style_tags": [
"cute",
"photorealistic"
],
"use_case_tags": [
"pet-portrait",
"social-media"
],
"source_url": "https://promptkoi.com/prompts/dalle/playful-kittens-yarn-basket/"
} The whole library is available as an open JSON dataset · developer docs.