Promptkoi

Misty Valley with Rolling Hills

Stable Diffusion
By Varun Sharma Tested with Stable Diffusion SDXL 1.0

Misty Valley with Rolling Hills is a tested Stable Diffusion SDXL 1.0 prompt for wallpaper work. It runs at Stable Diffusion SDXL 1.0 · Aspect ratio 21:9 · 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 minimalist prompts .

Layered green rolling hills fading into blue mist with a winding dirt road and scattered oak trees
Misty Valley with Rolling Hills — Stable Diffusion SDXL 1.0, Aspect ratio 21:9

How to use this prompt

Rolling hill shots need atmospheric perspective. Each hill should be lighter and cooler than the one in front. A winding road adds a path for the eye. The 21:9 frame emphasizes the horizontal layers. Mist fills the valleys between hills. Scattered trees add scale. Keep the light soft; harsh sun breaks the gentle gradient.

Variations to try

  • Hills at sunset — warm amber and purple layers
  • Hills with vineyard — rows of grapevines for wine country
minimalist moody wallpaper wall art

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What to do next

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For developers — copy this prompt as JSON
{
  "title": "Misty Valley with Rolling Hills",
  "prompt": "A misty valley with rolling hills scene, layered green hills fading into blue mist, a winding dirt road below, scattered oak trees, soft morning light, no people, no text, peaceful landscape photography",
  "negative_prompt": "people, text, letters, harsh light, oversaturated, cartoon style, watermark, blurry",
  "model": "Stable Diffusion",
  "model_version": "SDXL 1.0",
  "settings": {
    "aspect_ratio": "21:9",
    "steps": 30,
    "cfg": 6,
    "sampler": "DPM++ 2M Karras"
  },
  "style_tags": [
    "minimalist",
    "moody"
  ],
  "use_case_tags": [
    "wallpaper",
    "wall-art"
  ],
  "source_url": "https://promptkoi.com/prompts/stable-diffusion/misty-valley-with-rolling-hills/"
}

The whole library is available as an open JSON dataset · developer docs.

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