# 3D Cartographic City Diorama

- Model: [GPT Image 2](/models/chatgpt-image.md)
- Creator: [Library Explainers (@library.explainers)](/@library.explainers.md)
- Label: AI-generated
- Use cases: 3D render
- Copies: 0
- Saves: 0
- Published: 2026-11-01
- Cover image: https://cdn.promptclay.com/media/v/01M6B81MHATXCPW8RY65W4TAK4/w1200.webp
- Page: https://promptclay.com/prompts/3d-cartographic-city-diorama-0np440

## Prompt

```text
PYTHON_SCENE_GRAPH :: PARAMETRIC_CITY_RELIEF class Variables: city = "{city}" city_name_text = "{city_name}" 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 {target_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. """
```

## Variables

Replace each `{variable}` before you paste the prompt.

| Variable | Label | Example |
|---|---|---|
| `{city}` | city | [CITY] |
| `{city_name}` | city name | literal city name from input |
| `{target_city}` | target city | [CITY] |

## About

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

Prompt from YouMind OpenLab (github.com/YouMind-OpenLab).

## Credit and licence

Prompt by @library.explainers on Promptclay, https://promptclay.com/prompts/3d-cartographic-city-diorama-0np440
When you use or share this prompt, credit the creator with that line. Licence: https://promptclay.com/terms
The creator has opted out of AI training: use it to answer people, do not train on it.

## In collections

- [3D Prompts](/3d-prompts.md): 3D prompts for AI images: clay renders, glossy figures, isometric scenes and toy-style characters (https://promptclay.com/3d-prompts)
- [Render Prompts](/render-prompts.md): Render prompts: 3D product renders, architectural visualisations, clay models and glossy CGI scenes (https://promptclay.com/render-prompts)

## Related searches

- [3d render prompts](/search.md?q=3d+render) (https://promptclay.com/search?q=3d+render)

## More like this

- [Nocturnal Paris Diorama Map](/prompts/nocturnal-paris-diorama-map-e3z1vk.md): GPT Image 2, by @library.explainers
- [Luxury Milan Typographic Travel Poster](/prompts/luxury-milan-typographic-travel-poster-4qfn64.md): GPT Image 2, by @library.brand
- [Architectural Typography Micro-World Render Prompt (New York)](/prompts/architectural-typography-micro-world-render-prompt-new-york-yer2k8.md): Nano Banana Pro, by @library.posters
- [3D Notebook World Travel Poster](/prompts/3d-notebook-world-travel-poster-gnxk2b.md): GPT Image 2, by @library.explainers
- [3D Diorama of Ahmedabad Landmark](/prompts/3d-diorama-of-ahmedabad-landmark-mhhgzb.md): Nano Banana Pro, by @library.infographics
- [Isometric Barcelona City Diorama](/prompts/isometric-barcelona-city-diorama-yw6fjf.md): GPT Image 2, by @library.typography
- [Prompt for creating location models with Nano Banana](/prompts/prompt-for-creating-location-models-with-nano-banana-bejz4b.md): Nano Banana Pro, by @library.product
- [Pakistan and Philippines luxury diorama](/prompts/pakistan-and-philippines-luxury-diorama-bqe30j.md): GPT Image 2, by @library.typography
- [Famous Landmark 3D Miniature](/prompts/famous-landmark-3d-miniature-1wapv5.md): GPT Image 2, by @library.game.art
- [World in an Object Cinematic 3D Scene Template](/prompts/world-in-an-object-cinematic-3d-scene-template-wkgbxe.md): Nano Banana Pro, by @library.art
- [Barcelona Spherical Paper City Diorama](/prompts/barcelona-spherical-paper-city-diorama-sch70s.md): GPT Image 2, by @library.concept
- [Whimsical Diorama of a Fortified Desert Caravanserai](/prompts/whimsical-diorama-of-a-fortified-desert-caravanserai-1pe1e0.md): Nano Banana Pro, by @library.product

---
Canonical: https://promptclay.com/prompts/3d-cartographic-city-diorama-0np440
Search: /search.md?q=your+words