Minimalist Line Art Face
Stable DiffusionMinimalist Line Art Face is a tested Stable Diffusion SDXL 1.0 prompt for wall art work. It runs at Stable Diffusion SDXL 1.0 · Aspect ratio 3:4 · Steps 28 · 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 minimalist prompts .
How to use this prompt
This prompt fights SDXL's instinct to add detail, so the negative prompt is doing most of the work — "shading, gradient, texture" is the trio that keeps it flat. CFG 6 (slightly low) lets the line stay loose and confident; higher values make it stiff. The "small gold leaf accent" survives printing beautifully and is the difference between clip-art and something people frame.
Variations to try
- Matching set — "two faces in profile facing each other" and "hands forming a heart" complete a three-print series
- Bolder version — "thick brush stroke line, ink on white" for a modern gallery look
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": "Minimalist Line Art Face",
"prompt": "continuous single line drawing of a serene female face in profile with abstract botanical elements, minimal composition, black line on cream paper, small gold leaf accent, elegant modern line art print",
"negative_prompt": "shading, gradient, color, photorealistic, detailed, texture, busy background, text, watermark, frame",
"model": "Stable Diffusion",
"model_version": "SDXL 1.0",
"settings": {
"aspect_ratio": "3:4",
"steps": 28,
"cfg": 6,
"sampler": "DPM++ 2M Karras"
},
"style_tags": [
"minimalist"
],
"use_case_tags": [
"wall-art"
],
"source_url": "https://promptkoi.com/prompts/stable-diffusion/minimalist-line-art-face/"
}The whole library is available as an open JSON dataset · developer docs.
