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Examples

gpt-image-2

High-resolution Top-down Satellite Map View Of Central London

A high-resolution top-down satellite map view of central London, focused tightly on the area around Big Ben and the Palace of Westminster beside the River Thames. Show a realistic aerial...

A high-resolution top-down satellite map view of central London, focused tightly on the area around Big Ben and the Palace of Westminster beside the River Thames. Show a realistic aerial...
A high-resolution top-down satellite map view of central London, focused tightly on the area around Big Ben and the Palace of Westminster beside the River Thames. Show a realistic aerial...
Prompt

A high-resolution top-down satellite map view of central {argument name="city" default="London"}, focused tightly on the area around {argument name="landmark" default="Big Ben"} and the Palace of Westminster beside the River Thames. Show a realistic aerial orthographic perspective like a modern digital map or satellite layer, with detailed rooftops, streets, trees, shadows, and brownish river water. Place the long Palace of Westminster complex vertically near the center-right, directly along the west bank of the river, with Big Ben at the northeast corner of the palace near the river edge. A bridge labeled {argument name="bridge name" default="Westminster Bridge"} crosses horizontally near the bottom of the frame from left to right over the river. Include 6 visible map labels total: {argument name="label 1" default="Westminster Abbey"}, {argument name="label 2" default="Parliament Square"}, Big Ben, Palace of Westminster, Westminster Bridge, and Horse Guards Parade. Also show Whitehall as a labeled road running vertically on the left side of the palace area. Surrounding details should include Westminster Abbey in the upper left quadrant, Parliament Square above the palace, Horse Guards Parade as a large sandy rectangular ground in the lower left quadrant, dense city blocks and roads on the left half, the River Thames occupying the full right side, embankments on both sides, a few boats on the river, and tree-lined streets and parks. Use natural satellite-image colors, crisp cartographic label overlays, and the look of a zoomed-in online maps screenshot.

Prompt structure
  • Modelgpt-image-2
  • Use casesocial-media-post
  • Stylephotorealistic
  • Aspect ratioFlexible
Best used for
  • Use casesocial-media-post
  • Stylephotorealistic
  • Recommended specs1:1, 4:5, 16:9, or 9:16
  • ModelGPT Image 2
How to customize

Use this High-resolution Top-down Satellite Map View Of Central London prompt as a base. Replace the subject, product details, environment, lighting, brand colors, and output ratio while keeping the social-media-post intent and photorealistic direction stable.

Editable variables
  • SubjectReplace the product, person, scene, interface, or object being generated.
  • Use caseKeep or rewrite the destination as social media post, ad creative, cover image, poster, or ecommerce hero.
  • FrameChoose 1:1, 4:5, 16:9, or 9:16 based on the final placement.
  • Brand cuesAdd colors, materials, props, text-safe space, and the platform where the image will be used.
Recommended specs

Choose the frame for the destination first, then use 1K, 2K, or 4K based on output quality needs. Product images and posters usually benefit from higher resolution.

Pre-generation checklist
  • CheckSubject, lighting, composition, and frame are specific enough to review.
  • CheckText-safe space is included when the image will carry a headline or ad copy.
  • CheckResolution, credit cost, and final destination are checked before generation.
Why this prompt works

High-resolution Top-down Satellite Map View Of Central London works because it starts from the image job, then controls subject, composition, lighting, style, and frame. It is best for social media post while keeping the photorealistic direction stable.

Common questions
  • Can I use it directly?Yes. Replace the subject, brand cues, and frame, then generate in Image2Studio.
  • Which ratio should I use?Choose 1:1, 4:5, 16:9, or 9:16 based on the destination.