food-diorama-skill

Generate a 3D city food diorama by running the Python script with a city name argument, which loads culinary data and renders a Pop Mart-style circular base with four food culture quadrants via the Gemini API.

A data-driven food diorama is an AI-rendered 3D visual that uses a city database to depict culinary heritage across four quadrants—morning taste, historical feast, street food, and dessert culture—featuring Pop Mart figures and a city-name plaque.

Yes, you need Python 3 with standard libraries and Gemini API access via nanobanana-skill to render the 3D culinary diorama images, as the skill relies on these dependencies for data processing and AI rendering.

Yes, the 3D diorama generator supports multiple Chinese cities including Xi'an, Chongqing, and Guangzhou, loading specific culinary data from its city database to drive the visual rendering for each location.

Automate Pop Mart-style diorama creation by executing the Python generation script with your target city, producing a ready-to-use 3D visual that combines culinary culture with urban landmarks for your presentation deck.

The food diorama script fails for unsupported cities because it requires loading specific culinary data from its internal city database; only cities with existing data entries can be rendered into the 3D diorama visual.