Museum Timeline · Knowledge Explainer

Exhibit walls and mechanisms explain shadows, liquid levels, gears, oscillation, frequency division and resonance. The AI assistant selects diagrams; a presenter opening and circular window are optional.

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A cohesive set of composable animation and motion components for creating an entire video around your content.

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About this template

博物馆展墙 · 知识讲解模板

制作前提醒|模型能力与 Token 消耗

模板已内置大量风格化图标、动效与动画组件。制作新主题时,通常仍需根据文案补绘大量专用图示,并编写或调整动画代码,对大模型的代码能力要求较高。仅建议使用 GPT Sol 6.1 或具备同等及以上代码能力的大模型制作。

复杂图示、长文案和多轮修改会增加 Token 消耗;请留意所用模型的 Token 用量、额度与费用。建议先确认文稿和分镜,制作短样片后再分章推进,减少反复重做。

像沿着一面展墙参观:一个问题引出一件展品,再走向下一种解释。画面把知识线索与可观察的机制放在一起,适合讲清工具如何测量、节拍如何产生,以及不同方案各自依靠什么条件,而不只是按年代罗列名词。

原生表达包括日照射线与影子、液位和累计流量、齿轮与擒纵、摆长变化、二分频链,以及共振反馈。可按目录替换问题、标签、数据和机制参数;画面读数应与同一模型一致。每种机制都有自身条件,例如无光时不能给出日影读数,分频的慢速载波只是教学示意。它不是任意钟表、机械系统或量子过程的通用仿真。

AI助手可读取102个基础与科学图标、13类基础图示及其用法引导,为展品补充定义、对比、流程、证据、公式或回顾。可选条件分流用来说明何时成立,数量运算用来展示有依据的数值关系;不需要为了使用模板而把每个主题都改写成时间线。

使用时先给助手完整文稿、现有配音或相关材料,让它找出章节线索、机制条件与资料出处,再安排镜头。以实际声音确定片长,检查展品动作和阅读节奏后再看完整成片。需要哪些文稿、配音、真人素材和数据来源,按本期内容判断。可制作横屏与独立竖屏。默认以纯图解呈现;可选连续真人口播全屏开头,之后连续缩成圆形小窗。

页面预览采用所选完整中文原片。原片的固定科学演出只服务于原题,新稿从公开目录选择合适机制重新组织,不直接承接原片结论。

制作起始提示:“请用博物馆展墙模板讲解这份材料。先找到章节线索,核对各机制的适用条件和出处,选择需要的展品式表达、图标与图示,再按实际声音安排完整视频。”

模板包持续完善。

支持达标开放:查看本批知识讲解支持作品。

开放条件:点赞严格超过5000、收藏严格超过500、评论严格超过500、推荐严格超过100,四项均满足后开放模板下载。当前下载未开放。

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What you can replace

ParameterDescriptionTypeConstraintsDefault
creationProfileRequired—enumknowledge-story/1 / knowledge-source-performance/1—
sourcePerformance—object——
durationSeconds—number≥ 4,≤ 600—
fps—enum24 / 25 / 30 / 50 / 60—
layout—enumlandscape / portrait—
audio—object——
title—string≤ 100 characters,≥ 1 characters—
script—string≤ 50000 characters,≥ 1 characters—
language—enumzh-CN / en—
claims—array——
sources—array——
captions—array——
segments—array——
presenter————
composition—object——
contextFacts—array——
timeCorner—object——
sentenceEvidence—object——
wordEvidence—object——

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