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我构建了一个可自托管的管道，它接受剧本（或一个想法）并生成完成的动画视频——无需编码，无需订阅SaaS服务。该管道流程： 1. 编写或使用AI生成脚本 2. 提取角色 → 生成周转参考图（用于视觉一致性） 3. 将脚本拆分成镜头，包含镜头方向和动作描述 4. 生成关键帧（每个镜头的首帧 + 尾帧），并进行连续性链式处理 5. 将每个镜头插值成视频片段 6. 使用FFmpeg拼接所有内容，并添加字幕每个阶段都可以单独或批量触发，因此您可以完全掌控。技术栈： * Next.js 16 App Router + SQLite（自包含，零基础设施） * 自带密钥：OpenAI、Gemini或Seedance，用于文本/图像/视频 * Docker一键部署：docker run -p 3000:3000 -v ./data:/app/data twwch/aicomicbuilder:latest * 无需账户——浏览器指纹（UA/屏幕/时区的SHA-256哈希值）作为用户身份标识，因此多个人可以共享一个实例，并实现完全的数据隔离构建原因：现有的视频生成工具要么是单镜头（一个提示词 → 一个片段），要么是完全不透明的管道。我想要一个能够展示每个步骤的工具，这样我就可以迭代提示词，在中途更换模型，并了解实际发生了什么。最难的部分是连续性链——镜头N的最后一帧成为镜头N+1的第一帧，这使得角色在剪辑中保持视觉一致性，而无需进行微调。 GitHub：https://github.com/twwch/AIComicBuilder 演示视频在README中。欢迎对管道设计提出反馈，以及指纹认证方式的权衡是否适用于此用例。

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I built a self-hostable pipeline that takes a screenplay (or a one-line idea) and produces a finished animated video — no coding required, no SaaS subscription.<p><pre><code> The pipeline: 1. Write or AI-generate a script 2. Extract characters → generate turnaround reference sheets (for visual consistency) 3. Split the script into shots with camera direction and motion descriptions 4. Generate keyframes (first + last frame per shot) with continuity chaining 5. Interpolate each shot into a video clip 6. Concat everything with FFmpeg, burn subtitles Each stage can be triggered individually or in batch, so you stay in control. Tech: - Next.js 16 App Router + SQLite (self-contained, zero infra) - Bring your own keys: OpenAI, Gemini, or Seedance for text/image/video - Docker one-liner: docker run -p 3000:3000 -v ./data:/app/data twwch/aicomicbuilder:latest - No accounts — browser fingerprint (SHA-256 of UA/screen/timezone) is the user identity, so multiple people can share one instance with full data isolation Why I built it: Existing video generation tools are either single-shot (one prompt → one clip) or fully opaque pipelines. I wanted something that exposed every step so I could iterate on prompts, swap models mid-project, and understand what's actually happening. The hardest part was the continuity chain — the last frame of shot N becomes the first frame of shot N+1, which keeps characters visually consistent across cuts without fine-tuning. GitHub: https://github.com/twwch/AIComicBuilder Demo video in the README. Would love feedback on the pipeline design and whether the fingerprint-as-auth tradeoff makes sense for this use case.</code></pre>

Show HN: AI 漫画生成器 – 将脚本转化为本地动画视频