Retro Open-World Seaplane Screenshot

This prompt generates a nostalgic PS2-era open-world game screenshot of a seaplane flying over a tropical city with a full retro HUD, useful for recreating classic video game imagery.

Prompt
A third-person gameplay screenshot styled exactly like an early-2000s open-world crime game, showing a small white and burgundy seaplane flying low over a tropical coastal city. The camera is positioned directly behind the aircraft, centered on its tail, with the plane heading toward a cluster of mid-rise buildings near the waterfront. The city below has flat-roofed buildings, palm-lined streets, canals, and bright turquoise water, with a hazy blue sky and light atmospheric fog that softens the distance. A tall striped office tower stands near the center background, and a glowing pink checkpoint ring floats in front of the buildings. On the right side, a curving shoreline and canal are lined with dense palm trees. Add a retro video game HUD in the top-right corner with the time reading 13:27, green money text reading 500045605, two lines of white health and armor values both reading 100, a row of 6 wanted stars with 2 lit and 4 unlit, a small weapon icon in a rounded square, and ammo text reading 2076-30. Beneath that, display the mission text “SKIMMER FUEL!” with a small horizontal blue progress bar. In the bottom-left corner, include a circular minimap with a pink border, black streets, pale land, blue water, a north marker labeled N, and a small player arrow. In the bottom-right corner, overlay the location name Little Havana in elegant green cursive script. Use low-polygon vehicles and buildings, simple textures, soft shadows, saturated tropical colors, slight screen blur, and the unmistakable nostalgic look of a PlayStation 2-era action game screenshot with a 16:9 frame.

How to use this prompt

  1. 1

    Copy the full prompt above.

  2. 2

    Open a platform that supports GPT Image 2, such as YouMind, and paste the prompt in.

  3. 3

    Swap the subject, style, or details to fit your idea, then generate.

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