AI 人物一致性表
构建那段你要粘进每个片段的一致性提示词
把你的角色描述一次，这个工具就会把它拼成四种格式的一致性提示词：一段致密的散文块、一份紧凑的 JSON，以及为 Veo、Sora、Kling 和 Runway 排好顺序的版本。为那些主角每换一个片段就换一张脸的 AI 电影人而造。
文生视频模型在两次生成之间没有记忆，所以同一个角色要想保持同一个样子，唯一的办法是每一次都用同样的方式描述他。解法是一段一致性描述块：精确的服装颜色、一个辨识度高的细节、一条锁死的光线与调色说明，逐字粘在每条提示词的最前面。具体胜过冗长：「铁锈橙灯芯绒夹克」立得住，「时髦的夹克」就会飘。
全部在你的浏览器里运行。保存的角色存在浏览器的本地存储里，从不会被发送到任何服务器。
知道多少填多少。留空的字段会被跳过，但精确的颜色和一个辨识度高的细节，最能防止形象漂移。
你的一致性描述块
在上面至少填一个字段，就能生成你的人物描述块。
已保存的角色
只保存在你的浏览器里。每个角色建一块，然后在群戏时把整组复制出来。
还没有保存的角色。在上面给一个角色起名并点保存角色，就能开始建立你的演员表。
工作原理
这张表把你填的字段拼成几种确定性的描述块：一段在任何模型上都能用的致密散文，一个供结构化流程使用的紧凑 JSON 对象，以及三个遵循各家提示指引的模型专属版本（Veo 需要一句以风格收尾的主体描述句，Sora 对叙述性散文反应更好，Kling 和 Runway 对逗号分隔的标签解析得最稳）。留空的字段会被干净地跳过，所以填了一半的表也能产出可用的描述块。保存会把角色存进浏览器的本地存储，下次打开时你就能把演员表重新建起来。
怎么让同一个角色跨 AI 视频片段保持一致
人物漂移是多片段 AI 电影的头号杀手。一个主角的夹克在两个镜头之间换了颜色，比任何渲染瑕疵都更快地把故事撕破，因为观众先追的是脸和衣服。每次生成都从零开始，所以一致性不是模型的某个设置，而是提示词的纪律：同样的描述，完整地重复，出现在每一条提示词里。
具体胜过冗长。一段 40 词、写明精确服装颜色（「铁锈橙灯芯绒夹克，里面白色 T 恤」）和一个辨识细节（「左眉上一道细疤」）的描述块，比 200 词的人物小传更管用，因为模型给具体的视觉词的权重高于背景故事。这就是一致性表背后的逻辑：它把描述压到真正控制像素的那些词上，无论你是要在 Veo 里保住同一个角色，还是要在 Sora 的整段序列里锁死一致性。
永远别写「和刚才同一个女人」。对模型来说没有「刚才」，每一条提示词就是它的整个世界。每次都把完整的描述块重新粘上；群戏时，给每个角色自己的描述块，再加一条共用的光线与调色说明，让整组人看起来像是同一个剧组拍的。把这个结果当成你的 AI 人物圣经，它在片段之间做的事，正是服装部门在真实片场做的事。
锁定演员表之后，用我们的 免费 AI 视频提示词生成器 把每个镜头提示词的其余部分建起来，并把人物描述块粘在它生成的内容上方。
适合谁
- 做 AI 短片的人 在生成第一个片段之前，就给每个主角建好一份人物参考提示词模板，剪起来才接得上。
- 做剧集和分集内容的人 把整组演员存在浏览器里，下一集时再把同样的描述块原样载入，哪怕已经过去几个月。
- 品牌和社交团队 一次锁定吉祥物或代言人的形象，然后把同一段描述块交给每个剪辑的人，无论他们用哪个模型生成。
AI Character Consistency Sheet: the complete guide
It assembles your character fields into a dense prose paragraph, a compact JSON block, and Veo, Sora, and Kling/Runway variants ordered per each model family's prompt guidance, skipping empty fields cleanly.
For this workflow, the central problem is clear: text-to-video models have no memory between generations, so characters drift (new face, new jacket, new hair) unless every prompt repeats an identical, specific description. Left unresolved, this creates downstream friction and slower decisions. The practical target is a reusable character consistency block in prose, JSON, and per-model variants, plus a saved cast you can reload and copy as a full ensemble.
Limitation to keep in mind: A text block reduces drift but cannot eliminate it: it does not control seeds or reference images, so faces may still vary between generations. Pair it with reference frames where your model supports them.
Advanced workflow: Advanced teams treat the sheet as a character bible: one saved block per cast member, a shared lighting and grade line across all of them, and the ensemble block pasted above every scene prompt so multi-character shots stay coherent.
Step-by-Step Workflow
- Fill the sheet with what the camera sees: exact wardrobe colors, hair shape, one distinguishing detail, movement, lighting.
- Copy the variant matching your model: the Veo sentence, the Sora narrative, or the Kling/Runway tag list.
- Paste the block at the top of every prompt, unchanged, before the shot-specific action and camera language.
- Save each cast member, then use Copy all characters to paste the ensemble into multi-character scene prompts.
Use Cases By Profile
- AI short film maker: lock the lead's look before generating, so every clip in the edit shows the same person.
- Episodic creator: reload the saved cast next episode and keep continuity across weeks of generations.
- Brand team: distribute one canonical spokesperson block so every editor generates the same character.
Common Mistakes To Avoid
- Referring back with "the same character as before", which the model cannot resolve because it has no memory.
- Writing vague wardrobe ("a stylish jacket") instead of exact colors and items the model can reproduce.
- Tweaking the description slightly between clips, which reintroduces the drift the block exists to prevent.
Professional Best Practices
- Give every character exactly one loud distinguishing detail; it becomes the anchor your eye checks in each clip.
- Keep one shared lighting and grade line across the whole cast so ensemble shots look photographed together.
- Version your blocks per project, not per clip: if the look must change, change it once and regenerate the scene.
Treat this tool output as a decision support layer, not a replacement for authorship. Great scripts are remembered for specific choices, emotional precision, and clarity of dramatic movement. Tools help by removing noise so your energy can go where it matters: character, conflict, escalation, and payoff. If you review outcomes after each pass and keep an explicit log of accepted changes, your workflow becomes faster and more predictable from draft to draft. That consistency is exactly what professional collaborators value: fewer surprises, clearer rationale, and a script that evolves with intent.
Extended FAQ
What is an AI character consistency prompt?
A fixed block of text describing a character's face, hair, wardrobe, and style in exact terms, pasted at the top of every video prompt. Repeating it verbatim is currently the most reliable way to keep one character recognizable across clips.
Does Sora keep characters consistent between generations?
Not by itself: each generation is independent. Sora responds best to narrative prose, so this sheet's Sora variant restates the character as a flowing description you include in every prompt, optionally alongside a reference image.
What should a character sheet for AI film generation include?
Name, age range, face and build, hair, wardrobe with exact colors, one distinguishing detail, movement quality, lighting and grade, and visual style. Those are the fields models translate into pixels; backstory is dead weight.
Why use JSON for a character description?
Some workflows and pipelines template prompts programmatically, and a few models parse structured input well. The JSON block carries the same fields as the prose in snake_case keys, with empty fields omitted.
How is the Kling and Runway variant different from the Veo one?
Kling and Runway parse comma-separated tag lists most reliably, so the variant flattens your fields into tags plus a consistency anchor. Veo guidance favors a single subject-description sentence ending in style, which is how its variant is ordered.
Where are my saved characters stored?
In your browser's local storage only. They survive page reloads on the same device and browser, are never uploaded, and disappear if you clear site data. Copy your blocks somewhere safe for long projects.
常见问题
把完全相同的人物描述粘在每条提示词的最前面，主体在前、风格收尾，也就是这里的 Veo 版本生成的那种写法。如果 Veo 支持参考图，就把这段描述块和同一张参考帧搭配使用，多一重视觉锚点。
因为模型在两次生成之间没有记忆，任何没被指定的属性它都会重新猜一遍。你留模糊的每一个字段（头发长度、夹克颜色、年龄），都是模型会重新掷一次骰子的字段。一段完整并且重复出现的描述块，能把这种随机性去掉。
不该。背景故事的词对像素几乎没有影响。把词花在摄影机看得见的东西上：精确的服装颜色、头发形状、一个辨识细节、动作的质感，以及光线调色。短而具体，胜过长而文艺。
给每个角色各自保存一块，然后用「复制全部角色」把整组粘出来。所有人共用一条光线和风格说明，这样整组人看起来才像是同一个剧组拍的。
不会。描述块完全在你的浏览器里拼装，保存的角色存在浏览器的本地存储里。没有任何内容被发送到服务器，清除浏览器数据就会把它们删掉。
