
원본 문서
GPT Image 2 · en
A square, 1:1 photorealistic close-up photograph of an incredibly detailed physical miniature geography and city model of [CITY], focused only on the city’s most recognizable landmark area (not the full city map).
The scene shows a compact 3D topographic environment built around the iconic landmark zone — realistic terrain, elevation changes, nearby rivers or coastline if relevant, and surrounding urban density scaled naturally to highlight the landmark as the clear focal point. The model feels like a premium museum diorama rather than a map.
Thousands of tiny, highly detailed buildings, roads, bridges, and infrastructure cluster organically around the landmark. The landmark itself rises prominently above everything else, instantly recognizable even at a glance.
Strong natural side sunlight casts long, realistic shadows across the miniature terrain, enhancing depth and realism. Shallow depth of field (tilt-shift style) keeps the landmark zone sharply in focus while softly blurring the outer edges of the square frame. The entire scene appears as a tangible, physical model illuminated by real-world light.
Above the city, the sky is perfectly clean and empty — no clouds at all — except for the city name.
The name [CITY] appears integrated into the sky as thick, three-dimensional cloud typography, sculpted from dense white vapor. The letters are bold, volumetric, and clearly readable, with soft shadowing and subtle depth, floating naturally in the open sky. Opacity ~70%, but with enough thickness to remain instantly legible.
A small, minimal national flag is placed subtly near the sky text (corner or aligned to the typography), balanced and unobtrusive.
Format: Square 1080×1080
Style: Ultra-photorealistic, cinematic, premium miniature realism
Mood: Awe, clarity, instantly recognizable, highly shareable사용 방법
- 매개변수를 포함한 전체 원본 프롬프트를 복사하세요.
- 주제, 문구, 구도를 자신의 요구에 맞게 바꾸세요.
- 호환되는 외부 도구에서 사용하고 이용 조건과 결과를 확인하세요.
시작 전 확인
- 참조 이미지가 필요한지 확인하세요. 호환 표시는 해당 모델로 이 예시를 생성했다는 뜻이 아닙니다.
- 이름, 수치, 이미지 속 문구를 확인하세요. 모델 버전에 따라 결과가 다를 수 있습니다.





