What AI models work best with this prompt?

This scene-graph prompt is designed for advanced models like Sora 2 that can parse structured, parametric instructions. It may also work with powerful image generators that support complex scene descriptions.

Can I change the city or add my own landmarks?

Yes. The prompt is highly customizable. Change the `city` variable to any location. The model will automatically infer topography, landmarks, and urban layout, but you can also manually specify them for more control.

What will the output look like?

Expect a luxurious, photorealistic 3D relief map of a city. The city's name is spelled out using monumental, inhabitable building volumes integrated into the map, with soft studio lighting and detailed cartographic elements like labels and compass roses.

GPT Image 2AI 提示词

Parametric City Relief Map — Sora 2 Prompt

Generate stunning 3D topographic city maps where the city name becomes monumental architecture, complete with landmarks, labels, and cartographic details.

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提示词 · EN

PYTHON_SCENE_GRAPH :: PARAMETRIC_CITY_RELIEF class Variables: city = "argcity: [CITY]" city_name_text = "argcity name: literal city name from input" region_context = "推断国家、地形、气候、文化、城市特征" topography = "推断山脉、河流、海岸线、平原、岛屿、沙漠、丘陵" urban_grid = "推断区域密度、道路、交通走廊、城市格局" landmarks = "推断 landmark_set(city)" signature_core = "推断最具象征意义的中心地标或公共空间" style = "奢华 3D 地图城市模型" class TerrainSlab: form = "厚实凸起的镂空地图底座" surface = Variables.topography edges = "雕刻标题面板、图例、指南针、比例尺、插图区域地图" material = "哑光石材/石膏/地图模型材质" class CityTypography: text = Variables. city_name_text form = "纪念碑式 3D 字体" function = "每个字母均为可居住的建筑体量" placement = "整合于城市地图中，非悬浮" rule = "文字必须在俯瞰视角下保持可读性" class UrbanLayer: roads = Variables.urban_grid districts = "推断社区和密度区" landmarks = Variables.landmarks core = Variables.signature_core labels = "根据城市地理衍生地点标签" class Atmosphere: camera = "高位四分之三微距视角" lighting = "柔和高级摄影棚日光" details = "车辆、云层、飞机、树木，仅在合适时显示人物" def render(): return """ 将 argtarget city: [CITY] 渲染为凸起的地形图立体模型，其中城市名称转化为纪念碑式建筑，并辅以推断的地理环境、地标、标签、道路及地图集风格的制图细节。 """

关于这个提示词

Generate stunning 3D topographic city maps where the city name becomes monumental architecture, complete with landmarks, labels, and cartographic details. 它更适合作为 GPT Image 2 的概念艺术起点：先保留画面结构、主体关系和风格约束，再替换成你的品牌、人物或场景。

使用时优先替换 city、city name、target city 等占位符，并保持镜头、构图和材质描述的顺序不变。这样更容易获得稳定的画面结果，也方便继续做多版本对比。

如何使用这个提示词

Copy the Prompt: Copy the full PYTHON_SCENE_GRAPH code block for your desired city.
Choose a Model: Paste it into an AI video generator like Sora 2, or an advanced image model that handles scene graphs.
Customize Variables: Replace [CITY] and [TARGET CITY] with your chosen city name (e.g., "Tokyo", "Paris").
Generate & Refine: Run the prompt. Adjust variables like region_context or style for different aesthetics.

Parametric City Relief Map — Sora 2 Prompt

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