Pressed Wildflower Botanical Study
Stable DiffusionPressed Wildflower Botanical 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
Pressed flower studies need careful spacing so each specimen is visible, not overlapping into a bouquet. The cream paper and blank labels signal vintage herbarium without actual text. Soft shadows make the flat flowers feel tactile; no shadows and they look digitally pasted. The palette must stay desaturated to read authentic rather than decorative.
Variations to try
- Fern study — pressed ferns and moss for a woodland print
- Colorful pressed blooms — brighter flowers for a modern nursery poster
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": "Pressed Wildflower Botanical Study",
"prompt": "A pressed wildflower botanical study, delicate stems and petals arranged on cream paper, faint handwritten labels left blank, soft shadows, vintage herbarium style, muted natural colors, no text",
"negative_prompt": "text, labels, bright white paper, saturated colors, blurry stems, overlapping flowers, 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/pressed-wildflower-botanical-study/"
} The whole library is available as an open JSON dataset · developer docs.