Vintage Shell Collection Study
Stable DiffusionVintage Shell Collection Study is a tested Stable Diffusion SDXL 1.0 prompt for wall art work. It runs at Stable Diffusion SDXL 1.0 · Aspect ratio 2:3 · Steps 30 · CFG scale 6 · Sampler DPM++ 2M Karras, and ships below with the exact prompt text, usage notes, and 2 pasteable variations.
Last tested: July 2026 with Stable Diffusion SDXL 1.0
Part of the Stable Diffusion prompt library · see more vintage prompts .
How to use this prompt
Shell collection prints need variety in shape and size. A scallop, conch, and nautilus together read as a curated beach find. Aged paper and a faint border give collector credibility. Arrange shells with space between them so each spiral and ridge is visible. Muted pink and sepia keep it vintage; bright tropical colors turn it into a beach poster. The 2:3 frame suits vertical prints.
Variations to try
- Colorful shells — bright watercolor shells for a kids bathroom
- Single shell — large nautilus cross-section for a minimalist piece
Explore collections
What to do next
Adapt it →
Open this prompt in the Stable Diffusion builder, pre-filled, and change one layer at a time.
Explore more →
Browse the full Stable Diffusion prompt library — every entry tested with its settings.
For developers — copy this prompt as JSON
{
"title": "Vintage Shell Collection Study",
"prompt": "A vintage shell collection study, detailed scallop, conch, and nautilus shells arranged on aged cream paper, faint decorative border, soft sepia and muted pink accents, antique naturalist style, no text, no labels, coastal wall art",
"negative_prompt": "text, labels, bright white paper, neon colors, blurry shells, messy overlap, watermark",
"model": "Stable Diffusion",
"model_version": "SDXL 1.0",
"settings": {
"aspect_ratio": "2:3",
"steps": 30,
"cfg": 6,
"sampler": "DPM++ 2M Karras"
},
"style_tags": [
"vintage",
"botanical"
],
"use_case_tags": [
"wall-art"
],
"source_url": "https://promptkoi.com/prompts/stable-diffusion/vintage-shell-collection-study/"
}The whole library is available as an open JSON dataset · developer docs.
