✦ PROMPT ATLAS中文

四大革命的美食微缩画

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四大革命的美食微缩画 · Source example
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Complete prompt

MarkdownJSON
2x2 grid, do this for 4 famous revolutions with cuisine of their country: select * from culinary_food_art_gallery where historical_subject = '[event_name]' and culinary_medium = '[cuisine_type]' and physical_constraints = '100%_edible_ingredients_only' and plating_base = ( select appropriate_dishware from plating_db where style = '[cuisine_type]' ) and diorama_assets = array[ (select base_terrain from subject_db where event = '[event_name]' format as 'infer_staple_carb([cuisine_type])'), (select primary_structure from subject_db where event = '[event_name]' format as 'infer_main_protein([cuisine_type])'), (select human_figures from subject_db where event = '[event_name]' format as 'infer_vegetables_and_garnishes([cuisine_type])') ] and render_engine = 'macro_food_photography_studio_lighting';
Chinese prompt
2x2网格, 为4场著名革命及其对应国家的美食执行此操作: select * from culinary_food_art_gallery where historical_subject = '[事件名称]' and culinary_medium = '[美食类型]' and physical_constraints = '100%纯可食用食材' and plating_base = ( select appropriate_dishware from plating_db where style = '[美食类型]' ) and diorama_assets = array[ (select base_terrain from subject_db where event = '[事件名称]' format as '推断主食碳水([美食类型])'), (select primary_structure from subject_db where event = '[事件名称]' format as '推断主要蛋白质([美食类型])'), (select human_figures from subject_db where event = '[事件名称]' format as '推断蔬菜与配菜([美食类型])') ] and render_engine = '微距美食摄影棚灯光';

Sources & attribution

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@Gdgtify
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ChatGPT
Entry date
2026-04-25 · OpenNana entry creation date, not the original-post date
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