{"snapshotDate":"2026-10-20","releaseId":"465e0259274b1b15","data":{"id":"opennana-24947","sourceId":24947,"order":3189,"titleZh":"巨型尺度与抽象象征化电影感提示词","titleOriginal":"巨型尺度与抽象象征化电影感提示词","category":"opennana","model":"ChatGPT","modelShort":"ChatGPT","modelGroup":"gpt","prompt":"2x2 grid, 16:9, choose 4 drastically different subjects: INPUT:\nTOPIC = [ANY TOPIC]\nEMOTIONAL_MODE = [OPTIONAL]\nVIEWER_CONTEXT = [OPTIONAL]\n\n<scale_physics>\nMake size readable through:\n- tiny observer or vehicle\n- foreground-to-background distance\n- atmospheric haze\n- shadow falloff\n- visible horizon compression\n- surface detail changing from macro to massive\n- known-size objects near the subject\n- architecture, trees, lights, roads, waves, clouds, or terrain\n\nNever rely only on “make it huge.”\n</scale_physics>\n\n<symbolic_physicalization>\nIf TOPIC is physical, enlarge or recontextualize it.\nIf TOPIC is abstract, convert it into a symbolic monument:\n- memory → buried archive, sleeping giant, endless room\n- time → eroded ring, colossal clock strata, fossilized wave\n- AI → black-box cathedral, data planet, thinking machine horizon\n- grief → sunken statue, hollow mountain, empty city\n- knowledge → library cliff, book continent, luminous archive\n- disease → cellular megastructure, shadow organism, invasive landscape\n- music → wave temple, frozen vibration, instrument horizon\n\nChoose only the metaphor that fits TOPIC.\n</symbolic_physicalization>\n\n<cinematic_atmosphere>\nUse:\n- minimal figures\n- wide negative space\n- dramatic rim light\n- dusty or misty depth\n- muted or inferred palette\n- silence and scale\n- foreground texture\n- distant horizon\n- monumental material detail\n\nThe image should feel like discovery, not a poster.\n</cinematic_atmosphere>","promptZh":"2x2 网格，16:9，选择 4 个截然不同的主题：输入：\nTOPIC = [任何主题]\nEMOTIONAL_MODE = [可选]\nVIEWER_CONTEXT = [可选]\n\n<scale_physics>\n通过以下方式让大小可见：\n- 微小的观察者或车辆\n- 前景到背景的距离\n- 大气雾霾\n- 阴影衰减\n- 可见的地平线压缩\n- 表面细节从微观变为巨观\n- 主体附近已知大小的物体\n- 建筑、树木、灯光、道路、波浪、云朵或地形\n\n永远不要只依赖“把它做大”。\n</scale_physics>\n\n<symbolic_physicalization>\n如果主题是实体的，将其放大或重新语境化。\n如果主题是抽象的，将其转化为象征性的纪念碑：\n- 记忆 → 埋藏的档案馆、沉睡的巨人、无尽的房间\n- 时间 → 侵蚀的圆环、巨大的时钟地层、化石波浪\n- AI → 黑盒大教堂、数据星球、思维机器地平线\n- 悲伤 → 沉没的雕像、空心的山、空城\n- 知识 → 图书馆悬崖、书籍大陆、发光的档案馆\n- 疾病 → 细胞巨型结构、阴影生物、入侵景观\n- 音乐 → 波浪神庙、冰冷的振动、乐器地平线\n\n仅选择适合主题的隐喻。\n</symbolic_physicalization>\n\n<cinematic_atmosphere>\n使用：\n- 极简的人物\n- 宽阔的留白\n- 戏剧性的轮廓光\n- 尘土飞扬或雾气缭绕的深度\n- 柔和或隐含的色调\n- 寂静与尺度\n- 前景纹理\n- 遥远的地平线\n- 宏伟的材质细节\n\n图像应该感觉像是一种发现，而不是一张海报。\n</cinematic_atmosphere>","promptVariants":[{"text":"2x2 grid, 16:9, choose 4 drastically different subjects: INPUT:\nTOPIC = [ANY TOPIC]\nEMOTIONAL_MODE = [OPTIONAL]\nVIEWER_CONTEXT = [OPTIONAL]\n\n<scale_physics>\nMake size readable through:\n- tiny observer or vehicle\n- foreground-to-background distance\n- atmospheric haze\n- shadow falloff\n- visible horizon compression\n- surface detail changing from macro to massive\n- known-size objects near the subject\n- architecture, trees, lights, roads, waves, clouds, or terrain\n\nNever rely only on “make it huge.”\n</scale_physics>\n\n<symbolic_physicalization>\nIf TOPIC is physical, enlarge or recontextualize it.\nIf TOPIC is abstract, convert it into a symbolic monument:\n- memory → buried archive, sleeping giant, endless room\n- time → eroded ring, colossal clock strata, fossilized wave\n- AI → black-box cathedral, data planet, thinking machine horizon\n- grief → sunken statue, hollow mountain, empty city\n- knowledge → library cliff, book continent, luminous archive\n- disease → cellular megastructure, shadow organism, invasive landscape\n- music → wave temple, frozen vibration, instrument horizon\n\nChoose only the metaphor that fits TOPIC.\n</symbolic_physicalization>\n\n<cinematic_atmosphere>\nUse:\n- minimal figures\n- wide negative space\n- dramatic rim light\n- dusty or misty depth\n- muted or inferred palette\n- silence and scale\n- foreground texture\n- distant horizon\n- monumental material detail\n\nThe image should feel like discovery, not a poster.\n</cinematic_atmosphere>","type":"en","label":"英文提示词"},{"text":"2x2 网格，16:9，选择 4 个截然不同的主题：输入：\nTOPIC = [任何主题]\nEMOTIONAL_MODE = [可选]\nVIEWER_CONTEXT = [可选]\n\n<scale_physics>\n通过以下方式让大小可见：\n- 微小的观察者或车辆\n- 前景到背景的距离\n- 大气雾霾\n- 阴影衰减\n- 可见的地平线压缩\n- 表面细节从微观变为巨观\n- 主体附近已知大小的物体\n- 建筑、树木、灯光、道路、波浪、云朵或地形\n\n永远不要只依赖“把它做大”。\n</scale_physics>\n\n<symbolic_physicalization>\n如果主题是实体的，将其放大或重新语境化。\n如果主题是抽象的，将其转化为象征性的纪念碑：\n- 记忆 → 埋藏的档案馆、沉睡的巨人、无尽的房间\n- 时间 → 侵蚀的圆环、巨大的时钟地层、化石波浪\n- AI → 黑盒大教堂、数据星球、思维机器地平线\n- 悲伤 → 沉没的雕像、空心的山、空城\n- 知识 → 图书馆悬崖、书籍大陆、发光的档案馆\n- 疾病 → 细胞巨型结构、阴影生物、入侵景观\n- 音乐 → 波浪神庙、冰冷的振动、乐器地平线\n\n仅选择适合主题的隐喻。\n</symbolic_physicalization>\n\n<cinematic_atmosphere>\n使用：\n- 极简的人物\n- 宽阔的留白\n- 戏剧性的轮廓光\n- 尘土飞扬或雾气缭绕的深度\n- 柔和或隐含的色调\n- 寂静与尺度\n- 前景纹理\n- 遥远的地平线\n- 宏伟的材质细节\n\n图像应该感觉像是一种发现，而不是一张海报。\n</cinematic_atmosphere>","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/2092871484960280740","sourceUrlRaw":"https://x.com/Gdgtify/status/2092871484960280740","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/giant-scale-symbolic-cinematic-prompt","collectionStars":null,"evidenceType":"public_source","evidenceLabel":"公开原帖引用；来源图库收录","likes":null,"views":null,"sourceGalleryLikes":2,"sourceGalleryViews":35,"publishedAt":"2026-08-27","publishedAtBasis":"OpenNana 条目创建日期，不代表原帖发布日期","sourceUpdatedAt":"2026-10-14T00:47:45.509Z","isRecent":true,"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/202608/1787832975586-vmls0rxq-1787832977503-1.jpg","imageUrls":["https://img.opennana.com/prompts/assets/202608/1787832975586-vmls0rxq-1787832977503-1.jpg"],"videoUrls":[],"mediaType":"image","preview":"https://img.opennana.com/pthumbs/prompts/assets/202608/1787832975586-vmls0rxq-1787832977503-1-480.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-24947/","markdownUrl":"https://prompt.genedai.me/prompts/opennana-24947/index.md"}}