| name | food-diorama-skill |
| description | Generate 3D historical gourmet diorama images for Chinese cities using Google Gemini API. Creates artistic miniature food worlds with four-quadrant layouts featuring iconic dishes, Pop Mart style figures, and cultural elements. Use when the user asks to create food diorama, 美食盲盒, gourmet blind box, city food scene, or mentions generating 3D food artwork for cities like 西安, 重庆, 成都, 北京, 广州. |
3D Historical Gourmet Diorama Generator
Generate stunning 3D food diorama images showcasing a city's culinary heritage through four-quadrant circular layouts with Pop Mart style characters.
Requirements
- nanobanana skill must be installed and configured with GEMINI_API_KEY
- Python 3 with standard libraries
Quick Start
Generate a diorama for a city:
python3 ${CLAUDE_PLUGIN_ROOT}/skills/food-diorama-skill/scripts/generate_food_diorama.py 西安
Features
Visual Style
- Circular base: City's signature food as the platform
- Four quadrants: Morning taste, historical feast, street food, sweet culture
- Pop Mart figures: Miniature chibi characters interacting with oversized food
- Artistic city nameplate: 3D sculpted city name with cultural materials
- Historical elements: Inscriptions, silhouettes, and cultural symbols
- Technical quality: Isometric view, high saturation, ray tracing, 4K capable
Pre-configured Cities
The skill includes detailed food data for:
- 西安 (Xi'an): 羊肉泡馍, 胡辣汤, 葫芦鸡, 肉夹馍, 甑糕
- 重庆 (Chongqing): 火锅, 重庆小面, 毛血旺, 酸辣粉, 冰汤圆
- 成都 (Chengdu): 担担面, 豆花, 夫妻肺片, 钟水饺, 三大炮
- 北京 (Beijing): 炸酱面, 豆汁焦圈, 北京烤鸭, 卤煮火烧, 艾窝窝
- 广州 (Guangzhou): 肠粉, 虾饺, 白切鸡, 云吞面, 双皮奶
List all available cities:
python3 ${CLAUDE_PLUGIN_ROOT}/skills/food-diorama-skill/scripts/generate_food_diorama.py --list-cities
Usage
Basic Generation
python3 ${CLAUDE_PLUGIN_ROOT}/skills/food-diorama-skill/scripts/generate_food_diorama.py 重庆
Output: 重庆-diorama.png
Custom Output
python3 ${CLAUDE_PLUGIN_ROOT}/skills/food-diorama-skill/scripts/generate_food_diorama.py 成都 --output chengdu-food-art.png
High Resolution
python3 ${CLAUDE_PLUGIN_ROOT}/skills/food-diorama-skill/scripts/generate_food_diorama.py 北京 --resolution 4K --size 1344x768
Preview Prompt
View the generated prompt without creating an image:
python3 ${CLAUDE_PLUGIN_ROOT}/skills/food-diorama-skill/scripts/generate_food_diorama.py 广州 --show-prompt
Options
city(required): City name in Chinese (e.g., 西安, 重庆)--output: Output filename (default:<city>-diorama.png)--size: Image dimensions (default:1024x1024)- Available:
1024x1024,832x1248,1248x832,864x1184,1184x864,896x1152,1152x896,768x1344,1344x768,1536x672
- Available:
--resolution: Image quality (default:2K)- Choices:
1K,2K,4K
- Choices:
--model: Gemini model (default:gemini-3-pro-image-preview)- Alternative:
gemini-2.5-flash-image(faster)
- Alternative:
--show-prompt: Display prompt without generating--list-cities: Show all available cities
Workflow
When a user requests a food diorama:
- Identify the city: Ask which city if not specified
- Check availability: Run with
--list-citiesif unsure - Choose settings: Recommend:
- Square format (
1024x1024) for social media posts - Landscape (
1344x768or1536x672) for wallpapers 2Kresolution for quality (use4Kfor prints)
- Square format (
- Generate: Run the script with chosen parameters
- Present result: Show the saved image path
Extending the Database
To add a new city, edit scripts/generate_food_diorama.py and add an entry to CITY_DATABASE:
"城市名": {
"base": "基础食物",
"base_desc": "详细描述",
"history_text": "历史铭文",
"city_material": "城市材质",
"city_decoration": "装饰元素",
"q1": {"name": "早餐", "desc": "描述", "texture": "质感", "action": "动作"},
"q2": {"name": "硬菜", "desc": "描述", "texture": "质感", "action": "动作",
"costume": "服饰", "historical_figure": "历史人物"},
"q3": {"name": "街头", "desc": "描述", "texture": "质感", "action": "动作",
"historical_scene": "历史场景"},
"q4": {"name": "甜品", "desc": "描述", "texture": "质感", "action": "动作",
"cultural_symbol": "文化符号"}
}
Examples
Create a Xi'an diorama for Instagram
python3 ${CLAUDE_PLUGIN_ROOT}/skills/food-diorama-skill/scripts/generate_food_diorama.py 西安 --size 1024x1024 --resolution 2K --output xian-food-post.png
Generate Chongqing wallpaper
python3 ${CLAUDE_PLUGIN_ROOT}/skills/food-diorama-skill/scripts/generate_food_diorama.py 重庆 --size 1536x672 --resolution 4K --output chongqing-wallpaper.png
Quick test with Guangzhou
python3 ${CLAUDE_PLUGIN_ROOT}/skills/food-diorama-skill/scripts/generate_food_diorama.py 广州 --resolution 1K
Best Practices
- Start with 2K: Balance between quality and generation time
- Use square for social: Most versatile format
- Landscape for prints: Better for wall art or desktop wallpapers
- Check city availability: Use
--list-citiesbefore committing to generation - Preview prompts: Use
--show-promptto verify content before generating
Troubleshooting
City not found:
python3 ${CLAUDE_PLUGIN_ROOT}/skills/food-diorama-skill/scripts/generate_food_diorama.py --list-cities
nanobanana not found:
Ensure nanobanana skill is installed and GEMINI_API_KEY is configured in ~/.nanobanana.env
Generation failed:
- Check GEMINI_API_KEY is valid
- Try lower resolution (1K)
- Verify sufficient API quota
- Use faster model:
--model gemini-2.5-flash-image