プロンプト/GPT Image プロンプト/プロンプトの詳細画像プロンプト3D地図作成都市ジオラマ2 枚中 1 枚目の画像建築に統合された記念碑的なタイポグラフィを備えた、ハイエンドの3D都市レリーフマップを生成するための複雑なパラメトリックシーングラフプロンプトです。このプロンプトを使ういいね28表示994ブックマーク13次回も簡単に見つけられるよう、このプロンプトを保存または共有してくださいプロンプトを共有プロンプトコピーPYTHON_SCENE_GRAPH :: PARAMETRIC_CITY_RELIEF class Variables: city = "{argument name="city" default="[CITY]"}" city_name_text = "{argument name="city name" default="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 {argument name="target city" default="[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. """プロンプトを表示
