Sunflower and Bee Botanical Illustration
Stable DiffusionSunflower and Bee Botanical Illustration 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 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 botanical prompts .
How to use this prompt
The bee adds scale and life; without it the sunflower is just a still-life study. Detailed seed head texture gives the flower scientific credibility, while soft watercolor keeps it decorative. Cream paper is the vintage signal; bright white makes it look like a modern classroom poster.
Variations to try
- Wildflower bouquet — sunflower with poppies and daisies for a cheerful print
- Monochrome line art — single sunflower in black ink for a coloring page
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": "Sunflower and Bee Botanical Illustration",
"prompt": "A sunflower and bee botanical illustration, large sunflower head with detailed petals and seeds, a small bumblebee hovering nearby, soft watercolor washes on cream paper, vintage naturalist style, no text, no labels",
"negative_prompt": "text, watermark, label, blurry, low detail, modern clipart, plastic bee, oversaturated colors",
"model": "Stable Diffusion",
"model_version": "SDXL 1.0",
"settings": {
"aspect_ratio": "3:4",
"steps": 30,
"cfg": 6,
"sampler": "DPM++ 2M Karras"
},
"style_tags": [
"botanical",
"vintage"
],
"use_case_tags": [
"wall-art"
],
"source_url": "https://promptkoi.com/prompts/stable-diffusion/sunflower-and-bee-botanical-illustration/"
} The whole library is available as an open JSON dataset · developer docs.