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Idyllic Alpine Lake Village Landscape preview image
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Idyllic Alpine Lake Village Landscape

Generates a highly detailed, picturesque landscape of a mountain lake village with customizable foreground and background elements.

This is a gpt-image-2 prompt case for 风景自然. Use the copy-ready prompt below to generate similar visuals, and review YouMind OpenLab awesome-gpt-image-2 attribution plus commercial-use rights before reuse.

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Prompt

Copy-ready prompt

A stunning hyper-realistic landscape depicting{argument name="setting" default="Alpine lakeside village"} In the foreground, one{argument name="foreground element" default="Wooden dock with 1 empty bench"} Extending from the lower left corner into the clear blue lake, the left side is dotted with vibrant colors.{argument name="flower color" default="Bright pink and red"} Flowers bloom, and to the right, towering green reeds stretch out. The calm lake perfectly reflects the surrounding scenery, with a small red rowboat (on the left) and a white sailboat (on the right) floating on its surface. On the right bank, a picturesque European village nestles at the foot of lush green hills, boasting a prominent steeple church and traditional houses. In the background, towering {argument name="mountain type" default="Snow-capped jagged peaks"} exist{argument name="weather" default="Sunny weather with fluffy white clouds"} The view below is particularly spectacular. The overall lighting and shadow effects are striking, full of pastoral charm, and rich in detail.

Prompt variables

Editable argument placeholders found in the prompt, with their default values.

5
Variable
setting
Default
Alpine lakeside village
Variable
foreground element
Default
Wooden dock with 1 empty bench
Variable
flower color
Default
Bright pink and red
Variable
mountain type
Default
Snow-capped jagged peaks
Variable
weather
Default
Sunny weather with fluffy white clouds

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Where does this case come from?

This case is imported from YouMind OpenLab awesome-gpt-image-2; keep attribution visible and check the source URL before reuse.