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首頁GPT 影像 2 提示3D Cartographic City Diorama
資訊圖表/教育視覺應用程式/網頁設計3D渲染等距城市景觀/街道建築/室內文字/版式

3D Cartographic City Diorama

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A complex parametric scene graph prompt for generating high-end 3D urban relief maps with monumental typography integrated into the architecture.

已發布 2026年5月11日原始語言:EN

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完整的提示文本,可供複製或改編。

PYTHON_SCENE_GRAPH :: PARAMETRIC_CITY_RELIEF class Variables: city = "[CITY]" city_name_text = "literal city name from input" region_context = "infer country, terrain, climate, culture, urban identity" topography = "infer mountains, rivers, coastlines, plains, islands, deserts, hills" urban_grid = "infer district density, roads, transit corridors, urban pattern" landmarks = "infer landmark_set(city)" signature_core = "infer most symbolic central landmark or public space" style = "luxury 3D cartographic city model" class TerrainSlab: form = "thick raised cutout map base" surface = Variables.topography edges = "engraved title panel, legend, compass, scale, inset regional map" material = "matte stone/plaster/cartographic model material" class CityTypography: text = Variables. city_name_text form = "monumental 3D letters" function = "each letter is an inhabitable building mass" placement = "integrated into city map, not floating" rule = "word must remain readable from aerial view" class UrbanLayer: roads = Variables.urban_grid districts = "infer neighborhoods and density zones" landmarks = Variables.landmarks core = Variables.signature_core labels = "derive place labels from city geography" class Atmosphere: camera = "elevated three-quarter macro" lighting = "soft premium studio daylight" details = "vehicles, clouds, aircraft, trees, people only if appropriate" def render(): return """ Render [CITY] as a raised terrain-map diorama where the city name becomes monumental architecture, surrounded by inferred geography, landmarks, labels, roads, and atlas-style cartographic details. """

創作者

G

Gadgetify

詳情

已發表
2026年5月11日
語言
EN
型號
GPT Image 2
資訊圖表/教育視覺
應用程式/網頁設計
3D渲染
等距
城市景觀/街道
建築/室內
文字/版式

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