Nano Banana Pro

Aerial Art: Chinese Knot Landscape for 2026 Winter Games

A complex, multi-section prompt for generating an aerial photograph of a large-scale land art installation. The design merges the Chinese New Year theme (red Chinese knot) with the Winter Olympics, depicting the knot structure as a massive

Prompt text

Original English text. Replace placeholders with your own details.

# Scene and World
Real land art aerial photography combining Chinese New Year and the Winter Olympics;
Broad snow-covered terrain background;
Strong daylight illumination, clear without vignetting

# Focus and Order
Absolute Subject: A giant red Chinese knot shaped path;
Form of Expression: Giant ink art roughly drawn on the snow;
Visual Logic: The knot structure of the Chinese knot serves as the terrain for human activity, with the tail lines loosening and extending to the bottom of the frame;
Embellishments: Real skiers, performers, and crowds distributed along the path

# Form and Structure
Upper part of the composition: Complex coiled knot loops (similar to text or a maze);
Lower part of the composition: S-shaped winding path lines;
High-altitude overhead aerial view;
Proportional contrast between the massive land art and real human activity

# Material and Language
Main Material: Red pigment drawn on the snow (edges with clear dry brush strokes and texture);
Character Material: Real people wearing bright winter clothing (ski gear, dragon/lion dance props);
Ground Details: Real texture of accumulated snow and clear ski/footprint marks;
Bottom features a black running script calligraphy title “{argument name="title" default="2026 Let's Go Together"}”

# Source of Tension
“Flat snow painting” carrying “real three-dimensional movement”;
Combination of the traditional symbol of the Chinese knot and modern actions of skiing/celebration;
Visual contrast between the grand, rough land texture and the delicate human activity

Source & attribution

ttmouse - 豆爸 · Awesome Nano Banana Pro Prompts

Source-listed license: CC-BY-4.0. Prompt text is preserved; titles and previews may be shortened for display. Source examples are not NexGateHub test results.

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