{"snapshotDate":"2026-10-20","releaseId":"465e0259274b1b15","data":{"id":"opennana-14880","sourceId":14880,"order":9609,"titleZh":"寿司材质重构历史事件四宫格","titleOriginal":"寿司材质重构历史事件四宫格","category":"opennana","model":"ChatGPT","modelShort":"ChatGPT","modelGroup":"gpt","prompt":"2x2 grid, do this for 4 famous events in history   {[TENSOR_MULTIPLICATION_ENGINE]\n\nVECTOR_G (Geometric Scene) = [VARIABLE_HISTORICAL_EVENT]\nMATRIX_M (Material Palette) = [VARIABLE_CULINARY_MEDIUM]\n\nVariables:\n[VARIABLE_HISTORICAL_EVENT] = \"$input\"\n\n[VARIABLE_CULINARY_MEDIUM] = \"High-end Japanese Sushi and Sashimi\"\n\nEQUATION: VECTOR_G ⊗ MATRIX_M = RENDER_TARGET\n\n[MAPPING_CONSTRAINTS]\nThe AI must execute the cross product by replacing 100% of the materials in VECTOR_G with the ingredients of MATRIX_M. No cheating. No actual metal, cloth, or plastic can exist.\n- Structural Inference: The AI must logically deduce which food parts fit which structures (e.g., Raw Salmon slices for the module dome, Nori strips for the metal landing legs, Rice grains for the textured lunar soil, Fish roe for rocks).\n- Scale: Macro food photography. The entire scene must be presented as a plated dish resting on a stark black ceramic dining plate.\n\n[VISUAL_EXECUTION]\nRender the RENDER_TARGET. \nLighting: Overhead Michelin-star restaurant spotlighting. \nTexture: High gloss on the raw fish, sticky texture on the rice. The illusion of the event must be perfect, but the edibility of the food must be undeniable.}","promptZh":"2x2网格，针对历史上的4个著名事件进行此操作 {[TENSOR_MULTIPLICATION_ENGINE]\n\nVECTOR_G（几何场景） = [VARIABLE_HISTORICAL_EVENT]\nMATRIX_M（材质调色板） = [VARIABLE_CULINARY_MEDIUM]\n\n变量：\n[VARIABLE_HISTORICAL_EVENT] = \"$input\"\n\n[VARIABLE_CULINARY_MEDIUM] = \"高端日式寿司和生鱼片\"\n\n等式：VECTOR_G ⊗ MATRIX_M = RENDER_TARGET\n\n[映射约束]\nAI必须通过用MATRIX_M的配料替换VECTOR_G中100%的材质来执行叉积。禁止作弊。不能存在任何实际的金属、布料或塑料。\n- 结构推断：AI必须从逻辑上推断哪些食物部件适合哪些结构（例如：生三文鱼片用于模块圆顶，海苔条用于金属着陆支架，米粒用于纹理化的月球土壤，鱼籽用于岩石）。\n- 比例：微距美食摄影。整个场景必须呈现为放置在纯黑色陶瓷餐盘上的摆盘菜肴。\n\n[视觉执行]\n渲染RENDER_TARGET。\n光照：米其林星级餐厅头顶聚光灯。\n质感：生鱼片上高光泽，米饭上粘稠质感。事件的错觉必须完美，但食物的可食用性必须是不可否认的。}","promptVariants":[{"text":"2x2 grid, do this for 4 famous events in history   {[TENSOR_MULTIPLICATION_ENGINE]\n\nVECTOR_G (Geometric Scene) = [VARIABLE_HISTORICAL_EVENT]\nMATRIX_M (Material Palette) = [VARIABLE_CULINARY_MEDIUM]\n\nVariables:\n[VARIABLE_HISTORICAL_EVENT] = \"$input\"\n\n[VARIABLE_CULINARY_MEDIUM] = \"High-end Japanese Sushi and Sashimi\"\n\nEQUATION: VECTOR_G ⊗ MATRIX_M = RENDER_TARGET\n\n[MAPPING_CONSTRAINTS]\nThe AI must execute the cross product by replacing 100% of the materials in VECTOR_G with the ingredients of MATRIX_M. No cheating. No actual metal, cloth, or plastic can exist.\n- Structural Inference: The AI must logically deduce which food parts fit which structures (e.g., Raw Salmon slices for the module dome, Nori strips for the metal landing legs, Rice grains for the textured lunar soil, Fish roe for rocks).\n- Scale: Macro food photography. The entire scene must be presented as a plated dish resting on a stark black ceramic dining plate.\n\n[VISUAL_EXECUTION]\nRender the RENDER_TARGET. \nLighting: Overhead Michelin-star restaurant spotlighting. \nTexture: High gloss on the raw fish, sticky texture on the rice. The illusion of the event must be perfect, but the edibility of the food must be undeniable.}","type":"en","label":"英文提示词"},{"text":"2x2网格，针对历史上的4个著名事件进行此操作 {[TENSOR_MULTIPLICATION_ENGINE]\n\nVECTOR_G（几何场景） = [VARIABLE_HISTORICAL_EVENT]\nMATRIX_M（材质调色板） = [VARIABLE_CULINARY_MEDIUM]\n\n变量：\n[VARIABLE_HISTORICAL_EVENT] = \"$input\"\n\n[VARIABLE_CULINARY_MEDIUM] = \"高端日式寿司和生鱼片\"\n\n等式：VECTOR_G ⊗ MATRIX_M = RENDER_TARGET\n\n[映射约束]\nAI必须通过用MATRIX_M的配料替换VECTOR_G中100%的材质来执行叉积。禁止作弊。不能存在任何实际的金属、布料或塑料。\n- 结构推断：AI必须从逻辑上推断哪些食物部件适合哪些结构（例如：生三文鱼片用于模块圆顶，海苔条用于金属着陆支架，米粒用于纹理化的月球土壤，鱼籽用于岩石）。\n- 比例：微距美食摄影。整个场景必须呈现为放置在纯黑色陶瓷餐盘上的摆盘菜肴。\n\n[视觉执行]\n渲染RENDER_TARGET。\n光照：米其林星级餐厅头顶聚光灯。\n质感：生鱼片上高光泽，米饭上粘稠质感。事件的错觉必须完美，但食物的可食用性必须是不可否认的。}","type":"zh","label":"中文提示词"}],"sourceExamples":[],"promptLanguage":"英文提示词","notesZh":"来自 OpenNana 的公开提示词；保留原始作者与公开原帖引用。","sourcePromptNotes":"","author":"@Gdgtify","authorUrl":"https://x.com/Gdgtify","sourceUrl":"https://x.com/Gdgtify/status/2056770103837163634","sourceUrlRaw":"https://x.com/Gdgtify/status/2056770103837163634","sourceCitationType":"post","authorBasis":"source_label","sourceCollection":"OpenNana Awesome Prompt Gallery","collectionKey":"opennana","collectionShort":"OpenNana","collectionUrl":"https://opennana.com/awesome-prompt-gallery","collectionCaseUrl":"https://opennana.com/awesome-prompt-gallery/sushi-historical-events-grid-prompt","collectionStars":null,"evidenceType":"public_source","evidenceLabel":"公开原帖引用；来源图库收录","likes":null,"views":null,"sourceGalleryLikes":1,"sourceGalleryViews":58,"publishedAt":"2026-05-20","publishedAtBasis":"OpenNana 条目创建日期，不代表原帖发布日期","sourceUpdatedAt":"2026-10-13T03:04:49.679Z","isRecent":false,"requiresReference":null,"tags":[],"license":"项目维护者确认转载授权；原作者权利保留","licenseUrl":"https://prompt.genedai.me/sources/opennana/","imageUrl":"https://img.opennana.com/prompts/assets/202605/1779292578808-53gm3a0y-1779292580787-1.jpg","imageUrls":["https://img.opennana.com/prompts/assets/202605/1779292578808-53gm3a0y-1779292580787-1.jpg"],"videoUrls":[],"mediaType":"image","preview":"https://img.opennana.com/pthumbs/prompts/assets/202605/1779292578808-53gm3a0y-1779292580787-1-480.jpg","previewWidth":null,"previewHeight":null,"imageAuthor":"@Gdgtify","imageProvenance":"OpenNana 展示的来源示例；本站未重新生成。","contentAvailability":"full","sourceAccess":"free","url":"https://prompt.genedai.me/prompts/opennana-14880/","markdownUrl":"https://prompt.genedai.me/prompts/opennana-14880/index.md"}}