Lavender Farm at Golden Hour
MidjourneyLavender Farm at Golden Hour is a tested Midjourney v7 prompt for wallpaper work. It runs at Midjourney v7 · Aspect ratio 21:9 · Stylize 250, and ships below with the exact prompt text, usage notes, and 2 pasteable variations.
Last tested: July 2026 with Midjourney v7
Part of the Midjourney prompt library.
Prompt
A lavender farm at golden hour scene, rows of purple lavender stretching toward a small stone farmhouse, warm golden sunset light, cypress trees in the distance, no people, no text --ar 21:9 --stylize 250 --ar 21:9 --stylize 250
Settings
- Model
- Midjourney v7
- Aspect ratio
- 21:9
- Stylize
- 250
How to use this prompt
Lavender farm scenes need a destination in the distance. The farmhouse breaks the rows and gives scale. The 21:9 frame stretches the lavender lines. Golden-hour side light makes the purple glow. Cypress trees add vertical accents. Keep the sky warm with soft clouds; pure blue competes with the purple. A narrow dirt path through the rows adds a leading line to the house.
Variations to try
- Lavender at sunrise — soft pink sky for a fresh morning scene
- Lavender harvest — worker with basket for agricultural context
What to do next
Adapt it →
Open this prompt in the Midjourney builder, pre-filled, and change one layer at a time.
Explore more →
Browse the full Midjourney prompt library — every entry tested with its settings.
For developers — copy this prompt as JSON
{
"title": "Lavender Farm at Golden Hour",
"prompt": "A lavender farm at golden hour scene, rows of purple lavender stretching toward a small stone farmhouse, warm golden sunset light, cypress trees in the distance, no people, no text --ar 21:9 --stylize 250 --ar 21:9 --stylize 250",
"model": "Midjourney",
"model_version": "v7",
"settings": {
"aspect_ratio": "21:9",
"stylize": 250
},
"style_tags": [
"serene",
"landscape"
],
"use_case_tags": [
"wallpaper",
"travel"
],
"source_url": "https://promptkoi.com/prompts/midjourney/lavender-farm-at-golden-hour/"
} The whole library is available as an open JSON dataset · developer docs.