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Merge branch '108' of https://github.com/HBAI-Ltd/Toonflow-app into 108

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FROM node:24-bookworm-slim
WORKDIR /app
RUN npm config set registry https://registry.npmmirror.com/ && \
yarn config set registry https://registry.npmmirror.com/
# Copy the repository contents into the image and install all dependencies
COPY . .
# The container only runs the backend dev server, so strip Electron-only
# packages before installing to avoid downloading desktop binaries.
RUN node -e "const fs=require('fs');const pkg=JSON.parse(fs.readFileSync('package.json','utf8'));for(const section of ['dependencies','devDependencies']){if(!pkg[section]) continue;for(const name of ['custom-electron-titlebar','electron','electron-builder','electron-rebuild','electronmon']) delete pkg[section][name];}fs.writeFileSync('package.json', JSON.stringify(pkg, null, 2)+'\n');" && \
yarn install --frozen-lockfile && \
yarn cache clean
ENV NODE_ENV=dev
ENV PORT=10588
EXPOSE 10588
CMD ["yarn", "dev"]

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LICENSE
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END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
APPENDIX: How to apply the Apache License to your work.
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
Copyright [yyyy] [name of copyright owner]
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
http://www.apache.org/licenses/LICENSE-2.0
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
---
Also add information on how to contact you by electronic and paper mail.
## 补充协议 | Supplementary Agreement
If your software can interact with users remotely through a computer
network, you should also make sure that it provides a way for users to
get its source. For example, if your program is a web application, its
interface could display a "Source" link that leads users to an archive
of the code. There are many ways you could offer source, and different
solutions will be better for different programs; see section 13 for the
specific requirements.
> **补充协议 | Supplementary Agreement**
>
> 若您将本软件或其衍生版本以产品形式分发、销售或提供给**两个及以上独立的第三方主体**使用（无论采用买断、订阅、授权或任何其他商业模式），均须事先取得 HBAI-Ltd 的**书面商业授权**。
>
> If you distribute, sell, or provide this software (or any derivative) as a product to **two or more independent third parties** (regardless of business model: one-time purchase, subscription, licensing, etc.), you must obtain **written commercial authorization** from HBAI-Ltd prior to such use.
>
> **五个以内（含五个）**的法人主体作为联合运营方共同使用本软件，且不向联合体以外的第三方分发或提供服务的，视为**内部使用，无需商业授权**。
>
> **Five (5) or fewer** legal entities jointly operating and using this software internally, without distributing or providing services to parties outside the joint operation, are considered **internal use** and do not require commercial authorization.
>
> 在使用 Toonflow 的过程中，您不得删除或修改 Toonflow 控制台或应用程序中的标识或版权信息。
>
> You may not remove or modify any trademarks, logos, or copyright notices in the Toonflow console or application.
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see
<https://www.gnu.org/licenses/>.
---
## 永久免费场景 | Always Free — No Authorization Required
以下使用场景**永久免费**，无需任何授权：
The following uses are **always free** and require no authorization:
- ✅ 用 Toonflow 制作内容，在平台发布并获得分账 / Using Toonflow to produce content and earn platform revenue shares
- ✅ 二次开发，供自己团队内部使用 / Secondary development and modification for internal team use
- ✅ ≤ 5 个法人联合运营内部使用，不对外提供服务 / ≤5 legal entities operating jointly, internally only
- ✅ 个人学习、研究、非商业用途 / Personal learning, research, and non-commercial purposes
---
## 授权定价 | Licensing Pricing
商业授权费用与被授权方业务规模挂钩：
Commercial licensing fees scale with the licensee's business scale:
| 阶段 | 年销售额 | 年费 |
|------|---------|------|
| 🌱 扶持期 / Nurture | < ¥10 万 / $10k | **免费 / Free** |
| 🚀 初创期 / Startup | ¥10–50 万 / $10k–$50k | ¥5,000 / 年 / year |
| 📈 成长期 / Growth | ¥50–150 万 / $50k–$150k | ¥20,000 / 年 / year |
| 🏢 规模期 / Scale | ¥150–500 万 / $150k–$500k | ¥80,000 / 年 / year |
| 🌐 企业级 / Enterprise | > ¥500 万 / $500k | 面议 / Negotiable |
---
## AGPL 用户保护条款 | AGPL User Protection
> **不追溯条款 | Non-Retroactivity Clause**
>
> 本协议变更生效日期（v1.0.8 正式发布日）前，基于 AGPL-3.0 条款使用 Toonflow 的用户，其现有使用行为不受本协议变更的约束，继续按 AGPL-3.0 条款执行。
>
> Users who used Toonflow under AGPL-3.0 prior to the effective date of this change (v1.0.8 official release date) are not affected by this license change. Their existing usage continues under AGPL-3.0.

270
README.md
View File

@ -6,11 +6,21 @@
<a href="https://gitee.com/HBAI-Ltd/Toonflow-app">
<img src="https://img.shields.io/badge/Gitee-C71D23?style=flat-square&logo=gitee&logoColor=white" alt="Gitee" />
</a>
&nbsp;|&nbsp;
<a href="https://gitcode.com/HBAI-Ltd/Toonflow-app">
<img src="./docs/atomgitLogo.png" alt="Atomgit" style="height:16px"/>
Atomgit
</a>
</p>
<p align="center">
<strong>中文</strong> |
<a href="./docs/README.en.md">English</a>
<strong>简体中文</strong> |
<a href="./docs/README.zhtw.md">繁體中文</a> |
<a href="./docs/README.en.md">English</a> |
<a href="./docs/README.th.md">ไทย</a> |
<a href="./docs/README.vi.md">Tiếng Việt</a> |
<a href="./docs/README.ja.md">日本語</a> |
<a href="./docs/README.ru.md">Русский</a>
</p>
<div align="center">
@ -32,8 +42,8 @@
<a href="https://github.com/HBAI-Ltd/Toonflow-app/stargazers">
<img src="https://img.shields.io/github/stars/HBAI-Ltd/Toonflow-app?style=for-the-badge&logo=github" alt="Stars Badge" />
</a>
<a href="https://www.gnu.org/licenses/agpl-3.0" target="_blank">
<img src="https://img.shields.io/badge/License-AGPL-blue.svg?style=for-the-badge" alt="AGPL License Badge" />
<a href="https://www.apache.org/licenses/LICENSE-2.0" target="_blank">
<img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg?style=for-the-badge" alt="Apache-2.0 License Badge" />
</a>
<a href="https://github.com/HBAI-Ltd/Toonflow-app/releases">
<img alt="release" src="https://img.shields.io/github/v/release/HBAI-Ltd/Toonflow-app?style=for-the-badge" />
@ -47,7 +57,7 @@
# 🌟 主要功能
Toonflow 是一款 AI 工具，能够利用 AI 技术将小说自动转化为剧本，并结合 AI 生成的图片和视频，实现高效的短剧创作。借助 Toonflow，可以轻松完成从文字到影像的全流程，让短剧制作变得更加智能与便捷。
Toonflow 是一款 AI 短剧漫剧工具，能够利用 AI 技术将小说自动转化为剧本，并结合 AI 生成的图片和视频，实现高效的短剧创作。借助 Toonflow，可以轻松完成从文字到影像的全流程，让短剧制作变得更加智能与便捷。
- ✅ **角色生成**
自动分析原始小说文本，智能识别并生成角色设定，包括外貌、性格、身份等详细信息，为后续剧本与画面创作提供可靠基础。
@ -106,7 +116,10 @@ https://www.bilibili.com/video/BV1na6wB6Ea2
| Linux | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [夸克网盘](https://pan.quark.cn/s/94ef07509df0) | 官方发布安装包 |
| macOS | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [夸克网盘](https://pan.quark.cn/s/94ef07509df0) | 官方发布安装包 |
> 目前仅支持 Windows 版本，其他系统将陆续开放。
> [!CAUTION]
> MacOS 系统请到 设置-隐私与安全性 配置安全性否则可能因证书问题无法正常打开
>
> 参考知乎文档：[https://www.zhihu.com/question/433389276](https://www.zhihu.com/question/433389276)
> 因 Gitee OS 环境限制及 Release 文件上传大小限制，暂不提供 Gitee Release 下载地址。
@ -123,92 +136,46 @@ https://www.bilibili.com/video/BV1na6wB6Ea2
### 前置条件
- 已安装 [Docker](https://docs.docker.com/get-docker/)（版本 20.10+）
- 已安装 [Docker Compose](https://docs.docker.com/compose/install/)（版本 2.0+）
### 方式一：在线部署（推荐）
### 方式一：在线部署
从 GitHub / Gitee 自动拉取源码并构建镜像：
```shell
docker-compose -f docker/docker-compose.yml up -d --build
```
**支持的构建参数：**
| 参数 | 说明 | 默认值 | 示例 |
| -------- | ------------ | -------- | ------------------ |
| `GIT` | 代码仓库源 | `github` | `github` / `gitee` |
| `TAG` | 指定版本标签 | 最新 tag | `v1.0.6` |
| `BRANCH` | 指定分支 | 默认分支 | `main` / `dev` |
**版本选择优先级**：指定 TAG > 指定 BRANCH > 自动获取最新 tag > 默认分支
**指定参数示例：**
```shell
# 使用 Gitee 源（国内推荐，速度更快）
GIT=gitee docker-compose -f docker/docker-compose.yml up -d --build
# 指定版本标签
TAG=v1.0.6 docker-compose -f docker/docker-compose.yml up -d --build
# 指定分支 + Gitee 源
GIT=gitee BRANCH=dev docker-compose -f docker/docker-compose.yml up -d --build
```
待完善，暂时使用本地构建。
### 方式二：本地构建
使用本地已有的源码直接构建，适合开发者或已克隆仓库的用户：
使用本地已有的源码直接构建，适合开发者或已克隆仓库的用户，这需要你在本地安装 git：
```shell
# 先克隆项目（如已有则跳过）
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
# 使用本地源码构建
docker-compose -f docker/docker-compose.local.yml up -d --build
# 使用 docker-compose 本地构建并启动
yarn docker:local
# 或者手动构建
docker build -t toonflow .
docker run -d -p <本地端口>:10588 -v <本地数据路径>:/app/data toonflow
# 此时在相应端口的 /web/index.html 路径即可访问页面
# 例如 http://localhost:10588/web/index.html
```
### 服务端口说明
| 端口 | 用途 | 在线部署映射 | 本地构建映射 |
| ------- | -------------- | ------------- | ------------- |
| `80` | Nginx 前端页面 | 随机端口 | `8080:80` |
| `10588` | 后端 API 服务 | `10588:10588` | `10588:10588` |
| 端口 | 用途 | 部署映射 |
| ------- | -------- | ------------- |
| `10588` | 软件界面 | `10588:10588` |
### 数据持久化
**环境变量说明：**
默认日志目录会挂载到宿主机 `./logs` 目录。如需持久化上传文件或数据库，可在 `docker-compose.yml` 中添加 volumes：
| 变量 | 说明 |
| ---------- | ---------------------------------- |
| `NODE_ENV` | 运行环境，`prod` 表示生产环境 |
| `PORT` | 服务监听端口（默认 10588） |
| `OSSURL` | 文件存储访问地址，用于静态资源访问 |
```yaml
volumes:
- ./logs:/var/log
- ./uploads:/app/uploads # 持久化上传文件
- ./data:/app/data # 持久化数据库（如有）
```
### 常用操作命令
```shell
# 查看容器状态
docker-compose -f docker/docker-compose.yml ps
# 查看实时日志
docker-compose -f docker/docker-compose.yml logs -f
# 停止服务
docker-compose -f docker/docker-compose.yml down
# 重新构建并启动（更新版本时使用）
docker-compose -f docker/docker-compose.yml up -d --build
# 进入容器调试
docker exec -it toonflow sh
```
> ⚠️ **首次登录**
> 账号：`admin`
> 密码：`admin123`
---
## 云端部署
@ -260,7 +227,7 @@ yarn build
```json
{
"name": "toonflow-app",
"script": "build/app.js",
"script": "data/serve/app.js",
"instances": "max",
"exec_mode": "cluster",
"env": {
@ -319,6 +286,23 @@ pm2 monit # 监控面板
> 🚧 **PR 提交规范** 🚧
>
> ⛔ `master` 分支不接受任何 PR ｜ ✅ 请将 PR 提交到 `develop` 分支
>
> 欢迎开发者们共同参与 Toonflow 的共创。如有兴趣加入，请在交流群内联系主理人 ACT
## 🛠️ 技术栈
| 类别 | 技术 |
| ---------- | ----------------------------------------------------------------------------------------- |
| 运行时 | Node.js 23.11.1+ |
| 语言 | TypeScript 5.x |
| 后端框架 | Express 5 |
| 数据库 | SQLite（better-sqlite3 / knex） |
| AI 集成 | Vercel AI SDK（OpenAI / Anthropic / Google / DeepSeek / 智谱 / MiniMax / 通义千问 / xAI） |
| 本地推理 | @huggingface/transformers（ONNX） |
| 实时通信 | Socket.IO |
| 桌面客户端 | Electron 40 |
| 图像处理 | Sharp |
| 容器化 | Docker |
## 开发环境准备
@ -355,7 +339,7 @@ pm2 monit # 监控面板
本项目包含 **后端 API 服务** 和 **前端页面** 两部分，请根据需要选择启动方式：
- **方式一：仅启动后端服务（开发调试用）**
- **方式一：仅启动后端服务**
```bash
yarn dev
@ -363,7 +347,7 @@ pm2 monit # 监控面板
> ⚠️ 此命令仅启动后端 API 服务（端口 10588），**不包含前端页面**。直接访问 `http://localhost:10588` 只能调用 API 接口，无法看到完整的网页界面。如需同时使用前端页面，请配合前端项目单独启动，或使用下方的 GUI 模式。
- **方式二：启动 Electron 桌面客户端（推荐完整体验）**
- **方式二：启动 Electron 桌面客户端**
```bash
yarn dev:gui
@ -371,12 +355,13 @@ pm2 monit # 监控面板
> 此命令会同时启动后端服务和 Electron 桌面窗口，自带内置前端页面，开箱即用，无需额外配置。适合想要完整体验所有功能的开发者。
**两种模式对比：**
- **方式三：生产模式启动**
| 命令 | 启动内容 | 前端页面 | 适用场景 |
| -------------- | ------------------------ | -------- | -------------------------------- |
| `yarn dev` | 仅后端 API（端口 10588） | ❌ 无 | 后端开发调试、配合前端项目联调 |
| `yarn dev:gui` | 后端 + Electron 桌面端 | ✅ 内置 | 完整功能体验、桌面客户端开发调试 |
```bash
yarn start
```
> 以生产模式直接运行编译后的服务（需先执行 `yarn build`）。
4. **项目打包**
@ -427,46 +412,62 @@ pm2 monit # 监控面板
- **GitHub**：[Toonflow-web](https://github.com/HBAI-Ltd/Toonflow-web)
- **Gitee**：[Toonflow-web](https://gitee.com/HBAI-Ltd/Toonflow-web)
前端构建后，将 `dist` 目录内容复制到本项目的 `scripts/web` 目录即可集成。
前端构建后，将 `dist` 目录内容复制到本项目的 `data/web` 目录即可集成。
## 项目结构
```
📂 docker/ # Docker 配置文件
📂 docs/ # 文档资源
📂 scripts/ # 构建脚本与静态资源
📂 build/ # 编译产物
📂 data/ # 运行时数据
│ ├─ 📂 models/ # 本地推理模型（ONNX）
│ ├─ 📂 oss/ # 对象存储（素材/角色/场景）
│ ├─ 📂 serve/ # 生产环境入口
│ ├─ 📂 skills/ # Agent 技能提示词
│ └─ 📂 web/ # 前端编译产物（内置）
📂 docs/ # 文档资源
📂 env/ # 环境配置
📂 scripts/ # 构建与辅助脚本
📂 src/
├─ 📂 agents/ # AI Agent 模块
│ ├─ 📂 productionAgent/ # 生产 Agent
│ └─ 📂 scriptAgent/ # 剧本 Agent
├─ 📂 lib/ # 公共库（数据库初始化、响应格式）
├─ 📂 middleware/ # 中间件
├─ 📂 routes/ # 路由模块
│ ├─ 📂 agents/ # Agent 记忆管理
│ ├─ 📂 artStyle/ # 画风管理
│ ├─ 📂 assets/ # 素材管理
│ ├─ 📂 index/ # 首页
│ ├─ 📂 assetsGenerate/ # 素材生成
│ ├─ 📂 cornerScape/ # 分镜管理
│ ├─ 📂 general/ # 通用接口
│ ├─ 📂 login/ # 登录认证
│ ├─ 📂 migrate/ # 数据迁移
│ ├─ 📂 modelSelect/ # 模型选择
│ ├─ 📂 novel/ # 小说管理
│ ├─ 📂 other/ # 其他功能
│ ├─ 📂 outline/ # 大纲管理
│ ├─ 📂 production/ # 制作管理
│ ├─ 📂 project/ # 项目管理
│ ├─ 📂 prompt/ # 提示词管理
│ ├─ 📂 script/ # 剧本生成
│ ├─ 📂 scriptAgent/ # 剧本 Agent 接口
│ ├─ 📂 setting/ # 系统设置
│ ├─ 📂 storyboard/ # 分镜管理
│ ├─ 📂 task/ # 任务管理
│ ├─ 📂 user/ # 用户管理
│ └─ 📂 video/ # 视频生成
│ └─ 📂 test/ # 测试接口
├─ 📂 socket/ # WebSocket 实时通信
├─ 📂 types/ # TypeScript 类型声明
├─ 📂 utils/ # 工具函数
├─ 📄 app.ts # 应用入口
├─ 📄 core.ts # 路由核心
├─ 📄 core.ts # 核心初始化
├─ 📄 env.ts # 环境变量处理
├─ 📄 err.ts # 错误处理
├─ 📄 logger.ts # 日志模块
├─ 📄 router.ts # 路由注册
└─ 📄 utils.ts # 通用工具
📂 uploads/ # 上传文件目录
📄 LICENSE # 许可证
📄 Dockerfile # Docker 构建文件
📄 electron-builder.yml # Electron 打包配置
📄 skillList.json # 技能清单
📄 LICENSE # 许可证（Apache-2.0）
📄 NOTICES.txt # 第三方依赖声明
📄 package.json # 项目配置
📄 README.md # 项目说明
📄 tsconfig.json # TypeScript 配置
```
@ -483,46 +484,13 @@ pm2 monit # 监控面板
---
# 📝 开发计划
我们正持续优化产品，以下为近期开发重点：
1. 核心功能升级
- `🧩 提示词润色生成 Agent` 基于 AI 智能润色视频提示词，自动拆解生成分镜脚本，支持多镜头智能融合与平滑过渡
- `📄 多格式文本支持` 扩展小说以外的剧本、漫画脚本、游戏对话文本等多种格式的智能解析
2. 生产流程优化
- `👗 角色服化道管理` 强化长篇内容中角色的服装、化妆、道具一致性，支持多剧集关联记忆和着装自动生成
- `📦 批量处理/任务队列` 支持多章节同时处理，后台任务管理，进度实时监控和中断恢复
3. 视觉生成增强
- `🎭 多风格模板库` 内置多种视觉风格包，支持一键风格转换和用户自定义风格保存
- `⏱️ 智能节奏分析/优化` 分析剧情情绪曲线，自动建议高潮点和节奏变化，优化分镜安排生产流程优化
---
# 👨‍👩‍👧‍👦 微信交流群
~~交流群 1~~
~~交流群 2~~
~~交流群 3~~
~~交流群 4~~
~~交流群 5~~
~~交流群 6~~
~~交流群 7~~
~~交流群 8~~
~~交流群 9~~
...
~~交流群 10~~
@ -532,9 +500,13 @@ pm2 monit # 监控面板
~~交流群 13~~
...
~~交流群 24~~
拉群小助手:
<img src="./docs/QR.png" alt="Toonflow Logo" height="400"/>
<img src="./docs/QR.png" alt="Toonflow QR" height="400"/>
---
@ -546,11 +518,36 @@ pm2 monit # 监控面板
# 📜 许可证
Toonflow 基于 AGPL-3.0 协议开源发布，许可证详情：https://www.gnu.org/licenses/agpl-3.0.html
Toonflow 基于 Apache-2.0 协议开源发布，并附有补充商业协议。
您可以在遵循 AGPL-3.0 相关条款与条件的情况下，将 Toonflow 用于包括商业目的在内的各类用途。
许可证详情：https://www.apache.org/licenses/LICENSE-2.0
如需获得免于 AGPL-3.0 限制的专有商业许可，请通过邮箱与我们联系。
## 补充协议
- 若将本软件以产品形式分发给 **2 个及以上独立第三方**使用，须取得 HBAI-Ltd **书面商业授权**。
- **≤ 5 个法人**联合运营内部使用，不对外提供服务的，视为内部使用，**无需授权**。
- 不得删除或修改 Toonflow 中的标识或版权信息。
## 永久免费场景
- ✅ 用 Toonflow 制作内容并获得平台分账
- ✅ 二次开发供自己团队内部使用
- ✅ ≤ 5 个法人联合运营内部使用
- ✅ 个人学习、研究、非商业用途
## 商业授权定价
| 阶段 | 年销售额 | 年费 |
|------|---------|------|
| 🌱 扶持期 | < ¥10 万 | **免费** |
| 🚀 初创期 | ¥10–50 万 | ¥5,000/年 |
| 📈 成长期 | ¥50–150 万 | ¥20,000/年 |
| 🏢 规模期 | ¥150–500 万 | ¥80,000/年 |
| 🌐 企业级 | > ¥500 万 | 面议 |
> **不追溯条款**：v1.0.8 发布前基于 AGPL-3.0 使用的用户，继续按 AGPL-3.0 执行，不受本协议变更约束。
完整协议详见 [LICENSE](./LICENSE) 文件。
---
@ -565,13 +562,14 @@ Toonflow 基于 AGPL-3.0 协议开源发布，许可证详情：https://www.gnu.
感谢以下开源项目为 Toonflow 提供强大支持：
- [Express](https://expressjs.com/) - 快速、开放、极简的 Node.js Web 框架
- [AI](https://ai-sdk.dev/) - 面向 TypeScript 的 AI 工具包
- [AI SDK](https://ai-sdk.dev/) - 面向 TypeScript 的 AI 工具包
- [Better-SQLite3](https://github.com/WiseLibs/better-sqlite3) - 高性能 SQLite3 绑定库
- [Sharp](https://sharp.pixelplumbing.com/) - 高性能 Node.js 图像处理库
- [Axios](https://axios-http.com/) - 基于 Promise 的 HTTP 客户端
- [Zod](https://zod.dev/) - TypeScript 优先的模式验证库
- [Aigne](https://github.com/aigne-com/aigne) - LLM API 统一管理与接入中间件
- [Socket.IO](https://socket.io/) - 实时双向事件通信引擎
- [Electron](https://www.electronjs.org/) - 跨平台桌面应用开发框架
- [Hugging Face Transformers](https://huggingface.co/docs/transformers.js) - 本地 ML 推理库
感谢以下组织/单位/个人为 Toonflow 提供支持：

2244
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121
docker/Dockerfile
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@ -1,121 +0,0 @@
# 构建阶段
FROM node:24-alpine AS builder
WORKDIR /app
# 定义构建参数
ARG GIT=github
ARG TAG=""
ARG BRANCH=""
# 安装 git
RUN apk add --no-cache git
RUN npm config set registry https://registry.npmmirror.com/ && \
yarn config set registry https://registry.npmmirror.com/
# 根据参数选择仓库源，支持 TAG / BRANCH 切换
# 优先级: TAG > BRANCH > 最新 tag > 默认分支
RUN if [ "$GIT" = "gitee" ]; then \
REPO_URL="https://gitee.com/HBAI-Ltd/Toonflow-app.git"; \
else \
REPO_URL="https://github.com/HBAI-Ltd/Toonflow-app.git"; \
fi && \
echo "Cloning from: $REPO_URL" && \
git clone "$REPO_URL" . && \
if [ -n "$TAG" ]; then \
echo "Checking out specified tag: $TAG" && \
git checkout "$TAG"; \
elif [ -n "$BRANCH" ]; then \
echo "Checking out specified branch: $BRANCH" && \
git checkout "$BRANCH"; \
else \
LATEST_TAG=$(git describe --tags --abbrev=0 2>/dev/null || git tag --sort=-v:refname | head -n 1) && \
if [ -n "$LATEST_TAG" ]; then \
echo "Checking out latest tag: $LATEST_TAG" && \
git checkout "$LATEST_TAG"; \
else \
echo "No tags found, using default branch"; \
fi; \
fi && \
echo "Current version:" && git describe --tags --always
RUN yarn install --frozen-lockfile
RUN yarn build
# 生产阶段
FROM node:24-alpine
WORKDIR /app
# 安装 nginx 和 supervisor
RUN apk add --no-cache nginx supervisor && \
mkdir -p /var/lib/nginx/logs /var/log/nginx && \
npm config set registry https://registry.npmmirror.com/ && \
yarn config set registry https://registry.npmmirror.com/ && \
npm install -g pm2
# 复制后端文件
COPY --from=builder /app/build ./build
COPY --from=builder /app/data/serve ./data/serve
COPY --from=builder /app/package.json ./
COPY --from=builder /app/yarn.lock ./
# 复制静态页面到 nginx 目录
COPY --from=builder /app/scripts/web /usr/share/nginx/html
# 只安装生产依赖
RUN yarn install --frozen-lockfile --production
# 配置 nginx
RUN cat > /etc/nginx/http.d/default.conf << 'EOF'
server {
listen 80;
location / {
root /usr/share/nginx/html;
index index.html;
try_files $uri $uri/ /index.html;
}
}
EOF
# 配置 nginx 主配置，日志输出到 stderr/stdout
RUN sed -i 's|error_log /var/log/nginx/error.log warn;|error_log /dev/stderr warn;|g' /etc/nginx/nginx.conf || true && \
sed -i 's|access_log /var/log/nginx/access.log main;|access_log /dev/stdout main;|g' /etc/nginx/nginx.conf || true
# 配置 supervisor
RUN cat > /etc/supervisord.conf << 'EOF'
[supervisord]
nodaemon=true
logfile=/var/log/supervisord.log
pidfile=/var/run/supervisord.pid
[program:nginx]
command=nginx -g "daemon off;"
autostart=true
autorestart=true
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0
[program:app]
command=pm2-runtime start data/serve/app.js --name app
directory=/app
autostart=true
autorestart=true
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0
environment=NODE_ENV=prod
EOF
ENV NODE_ENV=prod
EXPOSE 80
EXPOSE 10588
# 启动时创建必要目录（防止 volume 挂载覆盖）
CMD sh -c "mkdir -p /var/log/nginx /var/lib/nginx/logs && exec supervisord -c /etc/supervisord.conf"

95
docker/Dockerfile.local
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@ -1,95 +0,0 @@
# 本地构建阶段 - 使用本地源码，不从 git 克隆
FROM node:24-alpine AS builder
WORKDIR /app
RUN npm config set registry https://registry.npmmirror.com/ && \
yarn config set registry https://registry.npmmirror.com/
# 复制依赖文件
COPY package.json yarn.lock ./
RUN yarn install --frozen-lockfile
# 复制源码
COPY tsconfig.json ./
COPY src/ ./src/
COPY scripts/ ./scripts/
RUN yarn build
# 生产阶段
FROM node:24-alpine
WORKDIR /app
# 安装 nginx 和 supervisor
RUN apk add --no-cache nginx supervisor && \
mkdir -p /var/lib/nginx/logs /var/log/nginx && \
npm config set registry https://registry.npmmirror.com/ && \
yarn config set registry https://registry.npmmirror.com/ && \
npm install -g pm2
# 复制后端文件
COPY --from=builder /app/build ./build
COPY --from=builder /app/data/serve ./data/serve
COPY --from=builder /app/package.json ./
COPY --from=builder /app/yarn.lock ./
# 复制静态页面到 nginx 目录
COPY --from=builder /app/scripts/web /usr/share/nginx/html
# 只安装生产依赖
RUN yarn install --frozen-lockfile --production
# 配置 nginx
RUN cat > /etc/nginx/http.d/default.conf << 'EOF'
server {
listen 80;
location / {
root /usr/share/nginx/html;
index index.html;
try_files $uri $uri/ /index.html;
}
}
EOF
# 配置 nginx 主配置，日志输出到 stderr/stdout
RUN sed -i 's|error_log /var/log/nginx/error.log warn;|error_log /dev/stderr warn;|g' /etc/nginx/nginx.conf || true && \
sed -i 's|access_log /var/log/nginx/access.log main;|access_log /dev/stdout main;|g' /etc/nginx/nginx.conf || true
# 配置 supervisor
RUN cat > /etc/supervisord.conf << 'EOF'
[supervisord]
nodaemon=true
logfile=/var/log/supervisord.log
pidfile=/var/run/supervisord.pid
[program:nginx]
command=nginx -g "daemon off;"
autostart=true
autorestart=true
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0
[program:app]
command=pm2-runtime start data/serve/app.js --name app
directory=/app
autostart=true
autorestart=true
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0
environment=NODE_ENV=prod
EOF
ENV NODE_ENV=prod
EXPOSE 80
EXPOSE 10588
# 启动时创建必要目录（防止 volume 挂载覆盖）
CMD sh -c "mkdir -p /var/log/nginx /var/lib/nginx/logs && exec supervisord -c /etc/supervisord.conf"

24
docker/docker-compose.local.yml
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@ -1,24 +0,0 @@
# 本地打包测试用，使用本地源码构建
# 用法: docker-compose -f docker/docker-compose.local.yml up -d --build
services:
toonflow:
build:
context: ..
dockerfile: docker/Dockerfile.local
image: toonflow:local
container_name: toonflow-local
restart: unless-stopped
ports:
- "8080:80"
- "10588:10588"
environment:
- NODE_ENV=prod
volumes:
- ../logs:/var/log
healthcheck:
test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "http://localhost:80/"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s

26
docker/docker-compose.yml
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@ -1,26 +0,0 @@
services:
toonflow:
build:
context: ..
dockerfile: docker/Dockerfile
args:
GIT: ${GIT:-github}
TAG: ${TAG:-}
BRANCH: ${BRANCH:-}
image: toonflow:${TAG:-latest}
container_name: toonflow
restart: unless-stopped
ports:
- "80"
- "10588:10588"
environment:
- NODE_ENV=prod
volumes:
# 可选: 持久化日志
- ../logs:/var/log
healthcheck:
test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "http://localhost:80/"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s

438
docs/README.en.md
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@ -6,11 +6,21 @@
<a href="https://gitee.com/HBAI-Ltd/Toonflow-app">
<img src="https://img.shields.io/badge/Gitee-C71D23?style=flat-square&logo=gitee&logoColor=white" alt="Gitee" />
</a>
&nbsp;|&nbsp;
<a href="https://gitcode.com/HBAI-Ltd/Toonflow-app">
<img src="./atomgitLogo.png" alt="Atomgit" style="height:16px"/>
Atomgit
</a>
</p>
<p align="center">
<a href="../README.md">中文</a> |
<strong>English</strong>
<a href="/README.md">简体中文</a> |
<a href="./README.zhtw.md">繁體中文</a> |
<strong>English</strong> |
<a href="./README.th.md">ไทย</a> |
<a href="./README.vi.md">Tiếng Việt</a> |
<a href="./README.jp.md">日本語</a> |
<a href="./README.ru.md">Русский</a>
</p>
<div align="center">
@ -23,48 +33,48 @@
<b>
AI Short Drama Factory
<br />
Turn novels into episodes with a tap!
With a tap, novels instantly become episodes!
<br />
AI Script × AI Imagery × Lightning-fast Generation 🔥
AI scripts × AI visuals × Turbo generation 🔥
</b>
</p>
<p align="center">
<a href="https://github.com/HBAI-Ltd/Toonflow-app/stargazers">
<img src="https://img.shields.io/github/stars/HBAI-Ltd/Toonflow-app?style=for-the-badge&logo=github" alt="Stars Badge" />
</a>
<a href="https://www.gnu.org/licenses/agpl-3.0" target="_blank">
<img src="https://img.shields.io/badge/License-AGPL-blue.svg?style=for-the-badge" alt="AGPL License Badge" />
<a href="https://www.apache.org/licenses/LICENSE-2.0" target="_blank">
<img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg?style=for-the-badge" alt="Apache-2.0 License Badge" />
</a>
<a href="https://github.com/HBAI-Ltd/Toonflow-app/releases">
<img alt="release" src="https://img.shields.io/github/v/release/HBAI-Ltd/Toonflow-app?style=for-the-badge" />
</a>
</p>
> 🚀 **One-stop Short Drama Workflow**: From text to character, storyboard to video, a full AI-powered process with zero threshold, boosting creative efficiency by 10x+!
> 🚀 **One-stop short drama production**: From text to characters, from storyboard to video, 0 barrier full-process AI, 10x+ creation efficiency!
</div>
---
# 🌟 Main Features
Toonflow is an AI tool that leverages AI technology to automatically turn novels into scripts, then uses AI to generate images and videos for efficient short drama production. With Toonflow, you can easily accomplish the entire workflow from text to visuals, making short drama creation more intelligent and convenient.
Toonflow is an AI short drama comic tool that leverages AI technology to automatically convert novels into scripts, and uses AI-generated images and videos for efficient short drama creation. With Toonflow, you can easily complete the entire process from text to images, making short drama production more intelligent and convenient.
- ✅ **Character Generation**
Automatically analyzes the original novel text, intelligently recognizes and generates character profiles, including appearance, personality, identity, etc., providing a reliable foundation for subsequent script and image creation.
Automatically analyzes the original novel text, intelligently identifies and generates character settings, including appearance, personality, identity, etc., providing a reliable foundation for subsequent script and visual creation.
- ✅ **Script Generation**
Based on selected events and chapters, the system automatically generates structured scripts, covering dialogue, scene descriptions, and plot direction, enabling an efficient transition from literary text to screenplay.
- ✅ **Storyboard Creation**
According to the script content, it intelligently generates storyboard prompts and visual designs, detailing foreground, middle ground, background, character movements, props, and scene layouts. Automatically produces storyboards from the script, providing a comprehensive blueprint for video production.
- ✅ **Video Synthesis**
Integrates AI image and video techniques, supporting generation of video clips via AI. With built-in online editing, supports personalized adjustments and outputs, making filmmaking highly collaborative and efficient.
Based on selected events and chapters, the system automatically generates structured scripts, covering dialogue, scene descriptions, and plot direction, enabling efficient transformation from literary texts to film/TV scripts.
- ✅ **Storyboard Production**
Based on the script content, intelligently generates storyboard prompts and visual design, detailing foreground/midground/background, character dynamics, prop settings, and scene layout; automatically turns scripts into storyboards, providing a complete route blueprint for video production.
- ✅ **Video Composition**
Integrates AI image and video technologies to generate video clips using AI. Includes online editing and supports personalized output adjustments, making film & TV production collaborative and efficient.
---
# 📦 Application Scenarios
- Short video content production
- Novel-to-film experiments
- AI Literary Adaptation Tools
- Short video content creation
- Novel-to-film/TV experiments
- AI literature adaptation tools
- Script development and rapid prototyping
- Video material generation
@ -75,14 +85,14 @@ Toonflow is an AI tool that leverages AI technology to automatically turn novels
## 📺 Video Tutorial
https://www.bilibili.com/video/BV1na6wB6Ea2
[![Toonflow 8-minute Quick Start AI Video](./videoCover.png)](https://www.bilibili.com/video/BV1na6wB6Ea2)
[![Toonflow 8-Minute Quick Start AI Video](./videoCover.png)](https://www.bilibili.com/video/BV1na6wB6Ea2)
**Toonflow 8-Minute Quick Start AI Video**
👉 [Click to watch](https://www.bilibili.com/video/BV1na6wB6Ea2/?share_source=copy_web&vd_source=5b718c25439a901a34c7bc0c1d35b38e)
📱 Watch via WeChat QR scan
📱 Scan with WeChat on your phone to watch
<img src="./videoQR.png" alt="Watch on WeChat" width="150"/>
<img src="./videoQR.png" alt="Scan WeChat to Watch" width="150"/>
---
@ -92,56 +102,103 @@ https://www.bilibili.com/video/BV1na6wB6Ea2
Before installing and using this software, please prepare the following:
- ✅ Large Language Model AI service endpoint.
- ✅ Sora or Doubao video service endpoint
- ✅ Nano Banana Pro image generation model service endpoint
- ✅ Large language model AI service API address
- ✅ Sora or Doubao video service API address
- ✅ Nano Banana Pro image generation model service API
## Local Installation
### 1. Download & Install
| Operating System | GitHub Download | 123YunPan Download | Description |
| :--------------: | :---------------------------------------------------------- | :-------------------------------------------------------- | :---------------------------------------------------------- |
| Windows | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [123YunPan](https://www.123865.com/s/bkn5Vv-E67cv) | Official release installation package |
| Linux | ⚙️ Coming soon | ⚙️ Coming soon | To be released soon |
| macOS | ⚙️ Coming soon | ⚙️ Coming soon | To be released soon |
| Operating System | GitHub Download | Quark Cloud Download | Notes |
| :--------------: | :------------------------------------------------------------ | :----------------------------------------------- | :------------- |
| Windows | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark Cloud](https://pan.quark.cn/s/94ef07509df0) | Official installer |
| Linux | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark Cloud](https://pan.quark.cn/s/94ef07509df0) | Official installer |
| macOS | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark Cloud](https://pan.quark.cn/s/94ef07509df0) | Official installer |
> ⚠️ If 123YunPan prompts for payment, it is only due to bandwidth limitations. This software is completely open-source and free.
> [!CAUTION]
> On MacOS, please go to Settings - Privacy & Security to configure security settings, otherwise, you may not be able to open the app due to certificate issues.
>
> See Zhihu documentation: [https://www.zhihu.com/question/433389276](https://www.zhihu.com/question/433389276)
> Currently, only the Windows version is supported. Other systems will be released gradually.
> Due to Gitee OS environment and Release file upload size limits, Gitee Release download is currently not available.
> Due to Gitee OS environment and file size restrictions for Release uploads, Gitee Release download links are not provided for now.
### 2. Start Service
### 2. Launch the Service
After installation, launch the program to start using this service.
After installation, start the program to use the service.
> ⚠️ **First login**
> Account: `admin`
> ⚠️ **First-time Login**
> Username: `admin`
> Password: `admin123`
## Docker Deployment
### Prerequisites
- [Docker](https://docs.docker.com/get-docker/) installed (version 20.10+)
### Method 1: Online Deployment
To be developed; please use local build for now.
### Method 2: Local Build
Build directly from local source code, suitable for developers or users who have cloned the repo; requires Git installed locally:
```shell
# Clone the project (skip if already cloned)
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
# Build and start locally with docker-compose
yarn docker:local
# Or build manually
docker build -t toonflow .
docker run -d -p <local_port>:10588 -v <local_data_path>:/app/data toonflow
# After this, the site can be accessed at /web/index.html on the mapped port
# e.g. http://localhost:10588/web/index.html
```
### Service Port Description
| Port | Purpose | Deployment Mapping |
| -------- | ------------ | -------------------- |
| `10588` | App Interface | `10588:10588` |
**Environment variable descriptions:**
| Variable | Description |
| ------------- | ------------------------------------------- |
| `NODE_ENV` | Environment; `prod` for production |
| `PORT` | Service listening port (default 10588) |
| `OSSURL` | File storage access address for static files |
---
## Cloud Deployment
### I. Server Requirements
### 1. Server Requirements
- **OS**: Ubuntu 20.04+ / CentOS 7+
- **Node.js**: 23.11.1+
- **RAM**: 1GB+
- **OS:** Ubuntu 20.04+ / CentOS 7+
- **Node.js:** 24.x (recommended, minimum 23.11.1+)
- **RAM:** 2GB+
### II. Server Deployment
### 2. Server Deployment
#### 1. Install the Environment
#### 1. Install Environment
```bash
# Install Node.js
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash
source ~/.bashrc
nvm install 24
# Install Yarn & PM2
# Install Yarn and PM2
npm install -g yarn pm2
```
#### 2. Deploy the Project
#### 2. Deploy Project
**Clone from GitHub:**
@ -153,7 +210,7 @@ yarn install
yarn build
```
**Clone from Gitee (recommended in China):**
**Clone from Gitee (Mainland China recommended):**
```bash
cd /opt
@ -170,7 +227,7 @@ Create a `pm2.json` file:
```json
{
"name": "toonflow-app",
"script": "build/app.js",
"script": "data/serve/app.js",
"instances": "max",
"exec_mode": "cluster",
"env": {
@ -181,17 +238,17 @@ Create a `pm2.json` file:
}
```
**Environment Variable Description:**
**Environment variable descriptions:**
| Variable | Description |
| ------------ | ------------------------------------------- |
| `NODE_ENV` | Runtime environment, `prod` means production|
| ------------- | ------------------------------------------- |
| `NODE_ENV` | Environment; `prod` for production |
| `PORT` | Service listening port |
| `OSSURL` | File storage access address for static files |
---
#### 4. Start the Service
#### 4. Start Service
```bash
pm2 start pm2.json
@ -202,242 +259,331 @@ pm2 save
#### 5. Common Commands
```bash
pm2 list # List processes
pm2 list # View process list
pm2 logs toonflow-app # View logs
pm2 restart all # Restart all services
pm2 restart all # Restart service
pm2 monit # Monitoring panel
```
#### 6. Deploy the Frontend Website
> ⚠️ **First-time Login**
> Username: `admin`
> Password: `admin123`
To deploy or customize the frontend separately, refer to the frontend repo:
#### 6. Deploying the Frontend Website
For standalone frontend deployment or customization, refer to the frontend repository:
- **GitHub**: [Toonflow-web](https://github.com/HBAI-Ltd/Toonflow-web)
- **Gitee**: [Toonflow-web](https://gitee.com/HBAI-Ltd/Toonflow-web)
> 💡 **Note**: This repo includes pre-compiled frontend assets; regular users don’t need to deploy frontend separately. The frontend repo is for developers needing secondary development.
> 💡 **Note:** This repo already contains a compiled frontend by default. Regular users do NOT need to separately deploy the frontend. The frontend repo is for developers requiring secondary development.
---
# 🔧 Development Workflow Guide
# 🔧 Developer Guide
> [!CAUTION]
> 🚧 **PR Submission Guidelines** 🚧
>
> ⛔ `master` branch does NOT accept PRs | ✅ Please submit PRs to the `develop` branch
>
> Developers are invited to co-develop Toonflow. To join, contact owner ACT in the group chat.
## 🛠️ Tech Stack
| Category | Technology |
| ------------ | --------------------------------------------------------------------------------------- |
| Runtime | Node.js 23.11.1+ |
| Language | TypeScript 5.x |
| Backend | Express 5 |
| Database | SQLite (better-sqlite3 / knex) |
| AI Integration | Vercel AI SDK (OpenAI / Anthropic / Google / DeepSeek / Zhipu / MiniMax / Qwen / xAI)|
| Local Inference | @huggingface/transformers (ONNX) |
| Real-Time | Socket.IO |
| Desktop | Electron 40 |
| Image Proc. | Sharp |
| Container | Docker |
## Development Environment Preparation
- **Node.js**: Version 23.11.1+
- **Yarn**: Recommended package manager
- **Node.js:** version 23.11.1 or above required
- **Yarn:** recommended as the package manager
## Quick Project Startup
## Quick Start
1. **Clone the project**
**From GitHub:**
**Clone from GitHub:**
```bash
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
```
**From Gitee (china):**
**Clone from Gitee (Mainland China recommended):**
```bash
git clone https://gitee.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
```
2. **Install Dependencies**
2. **Install dependencies**
Run the following in the root directory:
In the project root directory, install dependencies:
```bash
yarn install
```
3. **Start Development Server**
3. **Start development environment**
- Launch dev server with Node.js:
This project includes both **backend API service** and **frontend interface**. Start as needed:
- **Option 1: Start backend service only**
```bash
yarn dev #port 10588
yarn dev
```
- Use Bun to quickly start dev server:
> ⚠️ This command starts only the backend API (port 10588), **without the web interface**. Accessing `http://localhost:10588` allows API calls only; the full web UI is unavailable. To use the frontend, start the frontend project separately or use GUI mode below.
- **Option 2: Start Electron desktop client**
```bash
yarn bun:dev #port 10588
yarn dev:gui
```
4. **Build the Project**
> This command starts both backend and Electron window, with built-in web UI. Out-of-the-box, no extra config needed. Recommended for a full experience.
- Compile and generate TypeScript files:
- **Option 3: Production mode**
```bash
yarn start
```
> Runs compiled service in production mode (requires `yarn build` first).
4. **Build the project**
- Compile TypeScript files:
```bash
yarn build
```
- Package as a Windows executable:
- Build executable for Windows:
```bash
yarn dist:win
```
5. **Code Quality Check**
- Build executable for Mac:
- Lint globally for syntax and style:
```bash
yarn dist:mac
```
- Build executable for Linux:
```bash
yarn dist:linux
```
5. **Code quality check**
- Perform lint check:
```bash
yarn lint
```
6. **AI Debug panel (Optional)**
Start the Vercel AI SDK visual debugging tool for easier AI integration debugging:
```bash
yarn debug:ai
```
## Frontend Development
To modify the frontend, go to the frontend repo:
To modify the frontend UI, develop in the frontend repository:
- **GitHub**: [Toonflow-web](https://github.com/HBAI-Ltd/Toonflow-web)
- **Gitee**: [Toonflow-web](https://gitee.com/HBAI-Ltd/Toonflow-web)
After building the frontend, copy the contents of the `dist` folder into this project’s `scripts/web` directory for integration.
After frontend build, copy the `dist` contents to this project's `data/web` to integrate.
## Project Structure
```
📂 docs/ # Documentation
📂 scripts/ # Build scripts and static resources
│ └─ 📂 web/ # Embedded frontend build output
📂 build/ # Compiled output
📂 data/ # Runtime data
│ ├─ 📂 models/ # Local inference models (ONNX)
│ ├─ 📂 oss/ # Object storage (assets/characters/scenes)
│ ├─ 📂 serve/ # Production entry
│ ├─ 📂 skills/ # Agent skill prompts
│ └─ 📂 web/ # Built-in frontend assets
📂 ./ # Documentation assets
📂 env/ # Environment configs
📂 scripts/ # Build and helper scripts
📂 src/
├─ 📂 agents/ # AI Agent modules
├─ 📂 lib/ # Shared libs (DB init, response format)
│ ├─ 📂 productionAgent/ # Production Agent
│ └─ 📂 scriptAgent/ # Script Agent
├─ 📂 lib/ # Common libraries (db, responses)
├─ 📂 middleware/ # Middleware
├─ 📂 routes/ # Routing modules
├─ 📂 routes/ # API routes
│ ├─ 📂 agents/ # Agent memory management
│ ├─ 📂 artStyle/ # Art style management
│ ├─ 📂 assets/ # Asset management
│ ├─ 📂 index/ # Home page
│ ├─ 📂 assetsGenerate/ # Asset generation
│ ├─ 📂 cornerScape/ # Storyboard management
│ ├─ 📂 general/ # General APIs
│ ├─ 📂 login/ # Auth
│ ├─ 📂 migrate/ # Data migration
│ ├─ 📂 modelSelect/ # Model selection
│ ├─ 📂 novel/ # Novel management
│ ├─ 📂 other/ # Other features
│ ├─ 📂 outline/ # Outline management
│ ├─ 📂 production/ # Production management
│ ├─ 📂 project/ # Project management
│ ├─ 📂 prompt/ # Prompt management
│ ├─ 📂 script/ # Script generation
│ ├─ 📂 scriptAgent/ # Script Agent APIs
│ ├─ 📂 setting/ # System settings
│ ├─ 📂 storyboard/ # Storyboard management
│ ├─ 📂 task/ # Task management
│ ├─ 📂 user/ # User management
│ └─ 📂 video/ # Video generation
├─ 📂 types/ # TypeScript type declarations
│ └─ 📂 test/ # Test APIs
├─ 📂 socket/ # WebSocket comms
├─ 📂 types/ # TypeScript types
├─ 📂 utils/ # Utility functions
├─ 📄 app.ts # App entry point
├─ 📄 core.ts # Routing core
├─ 📄 env.ts # Env variable handling
├─ 📄 core.ts # Core initialization
├─ 📄 env.ts # Env vars
├─ 📄 err.ts # Error handling
├─ 📄 logger.ts # Logging module
├─ 📄 router.ts # Route registration
└─ 📄 utils.ts # Common tools
📂 uploads/ # Uploads
📄 LICENSE # License
📄 NOTICES.txt # 3rd-party notices
└─ 📄 utils.ts # General tools
📄 Dockerfile # Docker build config
📄 electron-builder.yml # Electron packaging config
📄 skillList.json # Skills list
📄 LICENSE # (Apache-2.0) License
📄 NOTICES.txt # Third-party dependencies
📄 package.json # Project config
📄 README.md # Project description
📄 tsconfig.json # TypeScript config
```
---
# 🔗 Related Repos
# 🔗 Related Repositories
| Repository | Description | GitHub | Gitee |
| ----------------- | ------------------------------------- | -------------------------------------------------- | ------------------------------------------------ |
| ---------------- | ---------------------------------- | ------------------------------------------------- | ------------------------------------------------- |
| **Toonflow-app** | Full client (this repo, for users) | [GitHub](https://github.com/HBAI-Ltd/Toonflow-app)| [Gitee](https://gitee.com/HBAI-Ltd/Toonflow-app) |
| **Toonflow-web** | Frontend source (for devs) | [GitHub](https://github.com/HBAI-Ltd/Toonflow-web) | [Gitee](https://gitee.com/HBAI-Ltd/Toonflow-web) |
| **Toonflow-web** | Frontend source (for FE devs) | [GitHub](https://github.com/HBAI-Ltd/Toonflow-web)| [Gitee](https://gitee.com/HBAI-Ltd/Toonflow-web) |
> 💡 **Tip**: If you just want to use Toonflow, download the client from this repo. The web repo is only for frontend customization/development.
> 💡 **Tip:** If you just want to use Toonflow, download the client from this repo directly. The frontend repo is for developers needing secondary dev or UI customization.
---
# 📝 Development Roadmap
We continue to optimize the product. Key focuses for the near future:
1. Core Function Upgrades
- `🧩 Prompt Refinement Agent` AI-enhanced prompt generation for videos, auto-parsing storyboards, intelligent multi-shot fusion and smooth transitions
- `📄 Multi-format Text Support` Extending to scripts, manga scripts, game dialogue text, and more formats beyond novels
2. Production Flow Optimization
- `👗 Character Costume & Props Management` Improved consistency for costumes, makeup, props across long content, support for multi-episode memory and auto costume generation
- `📦 Batch Processing/Task Queues` Process multiple chapters at once, backend task management, real-time monitoring and resume-on-interrupt
3. Visual Generation Enhancement
- `🎭 Multi-style Template Library` Bundled visual style packs, one-click style swap, user-defined style saving
- `⏱️ Intelligent Rhythm Analysis/Optimization` Analyze plot emotional arcs, auto-suggest climaxes and pace changes, optimized storyboard workflow
---
# 👨‍👩‍👧‍👦 WeChat Discussion Groups
# 👨‍👩‍👧‍👦 WeChat Groups
~~Group 1~~
~~Group 2~~
~~Group 3~~
...
~~Group 4~~
~~Group 10~~
~~Group 5~~
~~Group 11~~
Group 6:
~~Group 12~~
<img src="./chat6QR.jpg" alt="Toonflow Logo" height="400"/>
<p>Scan with WeChat to join. If the QR expires, open an issue to request an update.</p>
~~Group 13~~
...
~~Group 24~~
Group Assistant:
<img src="./QR.png" alt="Toonflow QR" height="400"/>
---
# 💌 Contact Us
📧 Email: [ltlctools@outlook.com](mailto:ltlctools@outlook.com?subject=Toonflow%20Inquiry)
📧 Email: [ltlctools@outlook.com](mailto:ltlctools@outlook.com?subject=Toonflow inquiry)
---
# 📜 License
Toonflow is open source under the AGPL-3.0 license. Details: https://www.gnu.org/licenses/agpl-3.0.html
Toonflow is open source under Apache-2.0 with a supplementary commercial agreement.
You may use Toonflow for any purpose, including commercial, as long as you adhere to the AGPL-3.0 terms and conditions.
License details: https://www.apache.org/licenses/LICENSE-2.0
For proprietary/commercial licensing exempt from AGPL-3.0, please contact us by email.
## Supplementary Agreement
- If you distribute this software as a product to **2 or more independent third parties**, you must obtain **written commercial authorization** from HBAI-Ltd.
- **≤ 5 legal entities** operating jointly for internal use without providing services externally are considered **internal use and require no authorization**.
- You may not remove or modify any trademarks, logos, or copyright notices in Toonflow.
## Always Free — No Authorization Required
- ✅ Using Toonflow to produce content and earn platform revenue shares
- ✅ Secondary development for internal team use
- ✅ ≤ 5 legal entities operating jointly, internally only
- ✅ Personal learning, research, and non-commercial purposes
## Licensing Pricing
| Stage | Annual Revenue | Annual Fee |
|------|---------|------|
| 🌱 Nurture | < $10k | **Free** |
| 🚀 Startup | $10k–$50k | ¥5,000/year |
| 📈 Growth | $50k–$150k | ¥20,000/year |
| 🏢 Scale | $150k–$500k | ¥80,000/year |
| 🌐 Enterprise | > $500k | Negotiable |
> **Non-Retroactivity Clause**: Users who used Toonflow under AGPL-3.0 prior to the v1.0.8 release are not affected by this change. Their existing usage continues under AGPL-3.0.
See the full [LICENSE](../LICENSE) file for details.
---
# ⭐️ Star History
[![Star History Chart](https://api.star-history.com/svg?repos=HBAI-Ltd/Toonflow-app&type=date&legend=top-left)](https://www.star-history.com/#HBAI-Ltd/Toonflow-app&type=date&legend=top-left)
[![Star History Chart](https://api.star-history.com/svg?repos=HBAI-Ltd/Toonflow-app&type=timeline&legend=top-left)](https://www.star-history.com/#HBAI-Ltd/Toonflow-app&type=timeline&legend=top-left)
---
# 🙏 Special Thanks
# 🙏 Thanks
Thanks to the following open-source projects for empowering Toonflow:
Thank you to the following open-source projects for supporting Toonflow:
- [Express](https://expressjs.com/) – Fast, open, minimal Node.js web framework
- [LangChain](https://js.langchain.com/) – Framework for building LLM apps
- [Better-SQLite3](https://github.com/WiseLibs/better-sqlite3) – High-performance SQLite3 bindings
- [Sharp](https://sharp.pixelplumbing.com/) – High-performance Node.js image processing
- [Axios](https://axios-http.com/) – Promise-based HTTP client
- [Zod](https://zod.dev/) – TypeScript-first schema validation
- [Aigne](https://github.com/aigne-com/aigne) – Unified LLM API middleware
- [Electron](https://www.electronjs.org/) – Cross-platform desktop app framework
- [Express](https://expressjs.com/) - Fast, open, minimalist Node.js Web framework
- [AI SDK](https://ai-sdk.dev/) - TypeScript-first AI toolkit
- [Better-SQLite3](https://github.com/WiseLibs/better-sqlite3) - High-performance SQLite3 bindings
- [Sharp](https://sharp.pixelplumbing.com/) - High-performance Node.js image toolkit
- [Axios](https://axios-http.com/) - Promise-based HTTP client
- [Zod](https://zod.dev/) - TypeScript-first schema validation library
- [Socket.IO](https://socket.io/) - Real-time bidirectional event framework
- [Electron](https://www.electronjs.org/) - Cross-platform desktop app framework
- [Hugging Face Transformers](https://huggingface.co./transformers.js) - Local ML inference library
Thanks to the following organizations/individuals for supporting Toonflow:
Thanks to the following organizations/individuals for their support:
<table>
<tr>
<td>
<img src="./sponsored/sophnet.png" alt="Sophnet Cloud Logo" width="48">
<img src="./sponsored/sophnet.png" alt="SophNet Logo" width="48">
</td>
<td>
<b>Sophnet Cloud</b> provided compute sponsorship
<a href="https://www.sophnet.com/">[Official Site]</a>
<b>SophNet Cloud</b> provides computing power sponsorship
<a href="https://www.sophnet.com/">[Official Website]</a>
</td>
</tr>
</table>
For the full list of third-party dependencies, see `NOTICES.txt`
For a complete list of third-party dependencies, see `NOTICES.txt`

590
docs/README.ja.md Normal file
View File

@ -0,0 +1,590 @@
<p>
<a href="https://github.com/HBAI-Ltd/Toonflow-app">
<img src="https://img.shields.io/badge/GitHub-181717?style=flat-square&logo=github&logoColor=white" alt="GitHub" />
</a>
&nbsp;|&nbsp;
<a href="https://gitee.com/HBAI-Ltd/Toonflow-app">
<img src="https://img.shields.io/badge/Gitee-C71D23?style=flat-square&logo=gitee&logoColor=white" alt="Gitee" />
</a>
&nbsp;|&nbsp;
<a href="https://gitcode.com/HBAI-Ltd/Toonflow-app">
<img src="./atomgitLogo.png" alt="Atomgit" style="height:16px"/>
Atomgit
</a>
</p>
<p align="center">
<a href="/README.md">簡体字中国語</a> |
<a href="./README.zhtw.md">繁体字中国語</a> |
<a href="./README.en.md">英語</a> |
<a href="./README.th.md">タイ語</a> |
<a href="./README.vi.md">ベトナム語</a> |
<strong>日本語</strong> |
<a href="./README.ru.md">ロシア語</a>
</p>
<div align="center">
<img src="./logo.png" alt="Toonflow Logo" height="120"/>
# Toonflow
<p align="center">
<b>
AI短編ドラマ工場
<br />
指先ひとつで、小説が瞬時にドラマ化！
<br />
AI脚本 × AI映像 × 超高速生成 🔥
</b>
</p>
<p align="center">
<a href="https://github.com/HBAI-Ltd/Toonflow-app/stargazers">
<img src="https://img.shields.io/github/stars/HBAI-Ltd/Toonflow-app?style=for-the-badge&logo=github" alt="Stars Badge" />
</a>
<a href="https://www.apache.org/licenses/LICENSE-2.0" target="_blank">
<img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg?style=for-the-badge" alt="Apache-2.0 License Badge" />
</a>
<a href="https://github.com/HBAI-Ltd/Toonflow-app/releases">
<img alt="release" src="https://img.shields.io/github/v/release/HBAI-Ltd/Toonflow-app?style=for-the-badge" />
</a>
</p>
> 🚀 **ワンストップ短編ドラマ制作**：テキストからキャラクター、絵コンテ、映像まで、0知識でAI化された全プロセス。創作効率10倍以上！
</div>
---
# 🌟 主な機能
ToonflowはAI短編漫画/ドラマ制作ツールで、小説をAIが自動的に脚本化し、AI生成画像・映像と組み合わせて高効率な短編ドラマ制作を実現します。Toonflowにより、テキストから映像までの流れを簡単に完結でき、短編ドラマ制作がよりスマート＆便利になります。
- ✅ **キャラクター生成**
元の小説テキストを自動分析し、外見・性格・身分など詳細なキャラクター設定をスマートに識別・生成。脚本・作画の基盤を提供します。
- ✅ **脚本生成**
選択したエピソードや章に基づき、構造化された脚本（セリフ・シーン描写・ストーリー展開など）をシステムが自動生成。小説から映像脚本への効率的な変換を実現します。
- ✅ **絵コンテ作成**
脚本内容に基づき、AIが適切な絵コンテプロンプトや画面設計を生成。前景・中景・背景、キャラクター動作、小道具設計、場面レイアウトを細分化し、脚本からビデオへの完全なルートマップを自動構築します。
- ✅ **動画合成**
AI画像と動画技術を統合し、AI生成により映像クリップの作成が可能。オンライン編集と個別調整にも対応し、映像創作の効率アップ＆迅速実現をサポートします。
---
# 📦 利用シーン
- ショート動画コンテンツ制作
- 小説の映像化実験
- AI文学改編ツール
- 脚本開発＆高速プロトタイピング
- 動画素材生成
---
# 🔰 使い方ガイド
## 📺 動画チュートリアル
https://www.bilibili.com/video/BV1na6wB6Ea2
[![Toonflow 8分でAI動画をクイックスタート](./videoCover.png)](https://www.bilibili.com/video/BV1na6wB6Ea2)
**Toonflow 8分クイックスタートAI動画**
👉 [クリックして見る](https://www.bilibili.com/video/BV1na6wB6Ea2/?share_source=copy_web&vd_source=5b718c25439a901a34c7bc0c1d35b38e)
📱 スマホWeChatでQRコードをスキャンして視聴
<img src="./videoQR.png" alt="微信扫码观看" width="150"/>
---
# 🚀 インストール
## 前提条件
本ソフトウェアのインストール・利用前に以下をご用意ください：
- ✅ 大規模言語モデルAIサービスのエンドポイント
- ✅ SoraまたはDoubao動画サービスAPI
- ✅ Nano Banana Pro画像生成モデルAPI
## ローカルインストール
### 1. ダウンロード＆インストール
| OS | GitHubダウンロード | Quark（夸克）クラウドダウンロード | 説明 |
| :--------: | :----------------------------------------------------- | :---------------------------------------------- | :--------------- |
| Windows | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [夸克クラウド](https://pan.quark.cn/s/94ef07509df0) | 公式配布インストーラ |
| Linux | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [夸克クラウド](https://pan.quark.cn/s/94ef07509df0) | 公式配布インストーラ |
| macOS | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [夸克クラウド](https://pan.quark.cn/s/94ef07509df0) | 公式配布インストーラ |
> [!CAUTION]
> MacOSの場合は、設定→プライバシーとセキュリティでセキュリティ設定を許可してください。証明書問題でアプリが開かない場合があります。
>
> 参考：知乎ドキュメント：[https://www.zhihu.com/question/433389276](https://www.zhihu.com/question/433389276)
> Gitee OSの制限とReleaseファイルのサイズ上限により、Gitee側のReleaseダウンロードは現在未提供です。
### 2. サービス起動
インストール後、アプリを起動してください。
> ⚠️ **初回ログイン**
> アカウント：`admin`
> パスワード：`admin123`
## Dockerデプロイ
### 前提条件
- [Docker](https://docs.docker.com/get-docker/)（バージョン 20.10以上）インストール済み
### 方法1：オンラインデプロイ
現在準備中。しばらくはローカルビルドをご利用ください。
### 方法2：ローカルビルド
お手持ちのソースコードから直接ビルド。開発者またはリポジトリクローン済ユーザー向け（git要インストール）。
```shell
# まずプロジェクトをクローン（既にある場合は省略可）
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
# docker-composeでローカルビルド＆起動
yarn docker:local
# または手動ビルド
docker build -t toonflow .
docker run -d -p <ローカルポート>:10588 -v <ローカルデータパス>:/app/data toonflow
# 指定ポートの /web/index.html でアクセス可
# 例）http://localhost:10588/web/index.html
```
### サービスポート情報
| ポート | 用途 | デプロイマッピング |
| ------- | -------- | ------------- |
| `10588` | UI | `10588:10588` |
**環境変数メモ：**
| 変数 | 説明 |
| ------------ | -------------------------- |
| `NODE_ENV` | 実行環境、`prod`が本番 |
| `PORT` | サービスポート（デフォルト10588） |
| `OSSURL` | ファイル保存URL（静的リソース） |
---
## クラウドデプロイ
### 1. サーバー環境要件
- **OS**：Ubuntu 20.04以上/CentOS 7以上
- **Node.js**：24.x（推奨、最低23.11.1以上）
- **メモリ**：2GB以上
### 2. サーバーデプロイ
#### 1. 環境インストール
```bash
# Node.jsインストール
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash
source ~/.bashrc
nvm install 24
# YarnとPM2インストール
npm install -g yarn pm2
```
#### 2. プロジェクト導入
**GitHubからクローン：**
```bash
cd /opt
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
yarn install
yarn build
```
**Giteeからクローン（中国国内推奨）：**
```bash
cd /opt
git clone https://gitee.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
yarn install
yarn build
```
#### 3. PM2構成
`pm2.json`ファイルを作成：
```json
{
"name": "toonflow-app",
"script": "data/serve/app.js",
"instances": "max",
"exec_mode": "cluster",
"env": {
"NODE_ENV": "prod",
"PORT": 10588,
"OSSURL": "http://127.0.0.1:10588/"
}
}
```
**環境変数説明：**
| 変数 | 説明 |
| ------------ | -------------------------- |
| `NODE_ENV` | 実行環境、`prod`が本番 |
| `PORT` | サービスポート |
| `OSSURL` | ファイル保存URL（静的リソース） |
---
#### 4. サービス起動
```bash
pm2 start pm2.json
pm2 startup
pm2 save
```
#### 5. よく使うコマンド
```bash
pm2 list # プロセス一覧
pm2 logs toonflow-app # ログを見る
pm2 restart all # サービス再起動
pm2 monit # 監視パネル
```
> ⚠️ **初回ログイン**
> アカウント：`admin`
> パスワード：`admin123`
#### 6. フロントエンドのデプロイ
前端の分離デプロイやカスタマイズが必要な場合はこちら：
- **GitHub**：[Toonflow-web](https://github.com/HBAI-Ltd/Toonflow-web)
- **Gitee**：[Toonflow-web](https://gitee.com/HBAI-Ltd/Toonflow-web)
> 💡 **補足**：このリポジトリにはビルド済のフロントリソースが内蔵済み。通常ユーザーはフロント分離構築は不要。フロントリポジトリはカスタム開発用です。
---
# 🔧 開発フローガイド
> [!CAUTION]
> 🚧 **PR提出ガイドライン** 🚧
>
> ⛔ `master`ブランチはPR不可 ｜ ✅ `develop`ブランチにPR提出
>
> 開発者のご参加を歓迎します。参加希望はコミュニティで主催者ACTにご連絡ください。
## 🛠️ 技術スタック
| カテゴリ | 技術 |
| -------------- | ---------------------------------------------------------------------------------------- |
| ランタイム | Node.js 23.11.1+ |
| 言語 | TypeScript 5.x |
| バックエンド | Express 5 |
| データベース | SQLite（better-sqlite3 / knex） |
| AI連携 | Vercel AI SDK（OpenAI / Anthropic / Google / DeepSeek / 智谱 / MiniMax / 通義千問 / xAI） |
| ローカル推論 | @huggingface/transformers（ONNX） |
| リアルタイム通信 | Socket.IO |
| デスクトップ | Electron 40 |
| 画像処理 | Sharp |
| コンテナ化 | Docker |
## 開発環境準備
- **Node.js**：バージョン23.11.1以上
- **Yarn**：パッケージマネージャ推奨
## プロジェクトのクイック起動
1. **プロジェクトクローン**
**GitHubからクローン：**
```bash
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
```
**Giteeからクローン（中国国内推奨）：**
```bash
git clone https://gitee.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
```
2. **依存パッケージインストール**
プロジェクト直下で次を実行：
```bash
yarn install
```
3. **開発環境の起動**
本プロジェクトは**バックエンドAPIサービス**と**フロントエンド**があります。次から用途を選択。
- **方法1：バックエンドのみ起動**
```bash
yarn dev
```
> ⚠️ このコマンドはAPIサーバー（ポート10588）のみ起動。`http://localhost:10588`でAPIのみ利用。GUI表示にはフロントプロジェクトの起動または下記のGUIモードをご利用ください。
- **方法2：Electronデスクトップクライアント**
```bash
yarn dev:gui
```
> バックエンドとElectronウィンドウが同時起動。内蔵フロント付きで即利用OK。すべての機能を体験したい方向け。
- **方法3：本番モードで起動**
```bash
yarn start
```
> 本番モードでビルド済サービスを直接起動（`yarn build`が必要）。
4. **プロジェクトパッケージ化**
- TypeScriptファイルのビルド：
```bash
yarn build
```
- Windows用実行ファイル化：
```bash
yarn dist:win
```
- Mac用実行ファイル化：
```bash
yarn dist:mac
```
- Linux用実行ファイル化：
```bash
yarn dist:linux
```
5. **コード品質チェック**
- グローバルLintチェック：
```bash
yarn lint
```
6. **AIデバッグパネル（任意）**
AI SDKのGUIデバッグツール。AI呼び出しのデバッグに便利。
```bash
yarn debug:ai
```
## フロントエンド開発
フロントUIの修正はフロントエンドリポジトリへ：
- **GitHub**：[Toonflow-web](https://github.com/HBAI-Ltd/Toonflow-web)
- **Gitee**：[Toonflow-web](https://gitee.com/HBAI-Ltd/Toonflow-web)
ビルド後、`dist`以下を本プロジェクト `data/web`へコピーで統合完了。
## プロジェクト構成
```
📂 build/ # ビルド成果物
📂 data/ # 実行時データ
│ ├─ 📂 models/ # ローカル推論モデル（ONNX）
│ ├─ 📂 oss/ # オブジェクトストレージ（素材/キャラ/背景）
│ ├─ 📂 serve/ # 本番エントリ
│ ├─ 📂 skills/ # Agentプロンプト集
│ └─ 📂 web/ # ビルトインフロント
📂 docs/ # ドキュメントリソース
📂 env/ # 環境設定
📂 scripts/ # ビルド＆ツールスクリプト
📂 src/
├─ 📂 agents/ # AI Agentモジュール
│ ├─ 📂 productionAgent/ # プロダクション用Agent
│ └─ 📂 scriptAgent/ # 脚本Agent
├─ 📂 lib/ # 共通ライブラリ（DB初期化等）
├─ 📂 middleware/ # ミドルウェア
├─ 📂 routes/ # ルーティングモジュール
│ ├─ 📂 agents/ # Agentメモリ管理
│ ├─ 📂 artStyle/ # 画風管理
│ ├─ 📂 assets/ # 素材管理
│ ├─ 📂 assetsGenerate/ # 素材生成
│ ├─ 📂 cornerScape/ # 絵コンテ管理
│ ├─ 📂 general/ # 共通API
│ ├─ 📂 login/ # ログイン認証
│ ├─ 📂 migrate/ # データ移行
│ ├─ 📂 modelSelect/ # モデル選択
│ ├─ 📂 novel/ # 小説管理
│ ├─ 📂 other/ # その他機能
│ ├─ 📂 production/ # 制作管理
│ ├─ 📂 project/ # プロジェクト管理
│ ├─ 📂 script/ # 脚本生成
│ ├─ 📂 scriptAgent/ # 脚本AgentAPI
│ ├─ 📂 setting/ # システム設定
│ ├─ 📂 task/ # タスク管理
│ └─ 📂 test/ # テストAPI
├─ 📂 socket/ # WebSocket通信
├─ 📂 types/ # TypeScript型
├─ 📂 utils/ # ユーティリティ
├─ 📄 app.ts # アプリエントリ
├─ 📄 core.ts # コア初期化
├─ 📄 env.ts # 環境変数処理
├─ 📄 err.ts # エラーハンドラ
├─ 📄 logger.ts # ロギング
├─ 📄 router.ts # ルート登録
└─ 📄 utils.ts # 共通ツール
📄 Dockerfile # Dockerビルド
📄 electron-builder.yml # Electronパッケージ設定
📄 skillList.json # スキルリスト
📄 LICENSE # ライセンス（Apache-2.0）
📄 NOTICES.txt # サードパーティ依存リスト
📄 package.json # プロジェクト設定
📄 tsconfig.json # TypeScript設定
```
---
# 🔗 関連リポジトリ
| リポジトリ | 説明 | GitHub | Gitee |
| ------------------ | ---------------------------------- | -------------------------------------------------- | ------------------------------------------------ |
| **Toonflow-app** | フルクライアント（本リポジトリ、一般ユーザー向け） | [GitHub](https://github.com/HBAI-Ltd/Toonflow-app) | [Gitee](https://gitee.com/HBAI-Ltd/Toonflow-app) |
| **Toonflow-web** | フロントエンドソース（フロントエンド開発者向け） | [GitHub](https://github.com/HBAI-Ltd/Toonflow-web) | [Gitee](https://gitee.com/HBAI-Ltd/Toonflow-web) |
> 💡 **ヒント**：Toonflowを利用したいだけなら本リポジトリをそのままダウンロードすればOK。フロントリポジトリはフロントカスタマイズや2次開発者向けです。
---
# 👨‍👩‍👧‍👦 WeChatコミュニティグループ
~~グループ1~~
~~グループ2~~
...
~~グループ10~~
~~グループ11~~
~~グループ12~~
~~グループ13~~
...
~~グループ24~~
グループ招待アシスタント:
<img src="./QR.png" alt="Toonflow QR" height="400"/>
---
# 💌 お問い合わせ
📧 メール：[ltlctools@outlook.com](mailto:ltlctools@outlook.com?subject=Toonflow相談)
---
# 📜 ライセンス
ToonflowはApache-2.0ライセンス＋補足商業契約でオープンソース公開されています。
ライセンス詳細：https://www.apache.org/licenses/LICENSE-2.0
## 補足契約
- 本ソフトウェアを製品として**2つ以上の独立した第三者**に配布する場合、HBAI-Ltdの**書面による商業許諾**が必要です。
- **5法人以下**の共同運営で内部利用のみの場合は、**商業許諾不要**です。
- Toonflowの商標・ロゴ・著作権情報の削除・改変は禁止です。
## 永久無料シーン
- ✅ Toonflowでコンテンツを制作しプラットフォーム収益を得る
- ✅ 自チーム内部利用の二次開発
- ✅ ≤ 5法人の共同運営内部利用
- ✅ 個人学習・研究・非商用利用
## 商業ライセンス価格
| 段階 | 年間売上高 | 年間費用 |
|------|---------|------|
| 🌱 育成期 | < ¥10万 | **無料** |
| 🚀 スタートアップ | ¥10〜50万 | ¥5,000/年 |
| 📈 成長期 | ¥50〜150万 | ¥20,000/年 |
| 🏢 拡大期 | ¥150〜500万 | ¥80,000/年 |
| 🌐 エンタープライズ | > ¥500万 | 要相談 |
> **不遡及条項**：v1.0.8リリース前にAGPL-3.0でToonflowを使用していたユーザーは、本変更の影響を受けません。既存の利用はAGPL-3.0に基づき継続されます。
完全な契約内容は [LICENSE](../LICENSE) をご覧ください。
---
# ⭐️ スター履歴
[![Star History Chart](https://api.star-history.com/svg?repos=HBAI-Ltd/Toonflow-app&type=timeline&legend=top-left)](https://www.star-history.com/#HBAI-Ltd/Toonflow-app&type=timeline&legend=top-left)
---
# 🙏 謝辞
以下のオープンソースプロジェクトの強力な支援に感謝します：
- [Express](https://expressjs.com/) - 高速・オープンなNode.js Webフレームワーク
- [AI SDK](https://ai-sdk.dev/) - TypeScript向けAIツールキット
- [Better-SQLite3](https://github.com/WiseLibs/better-sqlite3) - 高性能SQLite3バインディング
- [Sharp](https://sharp.pixelplumbing.com/) - 高速Node.js画像処理
- [Axios](https://axios-http.com/) - PromiseベースHTTPクライアント
- [Zod](https://zod.dev/) - TypeScript優先のバリデーション
- [Socket.IO](https://socket.io/) - リアルタイム双方向通信エンジン
- [Electron](https://www.electronjs.org/) - クロスプラットフォームデスクトップ開発
- [Hugging Face Transformers](https://huggingface.co/docs/transformers.js) - ローカル機械学習推論ライブラリ
以下の組織・団体・個人によるToonflowへの協力に感謝します：
<table>
<tr>
<td>
<img src="./sponsored/sophnet.png" alt="算能云 Logo" width="48">
</td>
<td>
<b>算能云</b> よりコンピューティング協賛
<a href="https://www.sophnet.com/">[公式サイト]</a>
</td>
</tr>
</table>
第三者依存リストは `NOTICES.txt` をご覧ください
</translate_input>

588
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View File

@ -0,0 +1,588 @@
<p>
<a href="https://github.com/HBAI-Ltd/Toonflow-app">
<img src="https://img.shields.io/badge/GitHub-181717?style=flat-square&logo=github&logoColor=white" alt="GitHub" />
</a>
&nbsp;|&nbsp;
<a href="https://gitee.com/HBAI-Ltd/Toonflow-app">
<img src="https://img.shields.io/badge/Gitee-C71D23?style=flat-square&logo=gitee&logoColor=white" alt="Gitee" />
</a>
&nbsp;|&nbsp;
<a href="https://gitcode.com/HBAI-Ltd/Toonflow-app">
<img src="./atomgitLogo.png" alt="Atomgit" style="height:16px"/>
Atomgit
</a>
</p>
<p align="center">
<a href="/README.md">简体中文</a> |
<a href="./README.zhtw.md">繁體中文</a> |
<a href="./README.en.md">English</a> |
<a href="./README.th.md">ไทย</a> |
<a href="./README.vi.md">Tiếng Việt</a> |
<a href="./README.ja.md">日本語</a> |
<strong>Русский</strong>
</p>
<div align="center">
<img src="./logo.png" alt="Toonflow Logo" height="120"/>
# Toonflow
<p align="center">
<b>
AI-фабрика коротких сериалов
<br />
Одним движением — роман за секунду становится сериалом!
<br />
AI-сценарий × AI-изображения × Молниеносная генерация 🔥
</b>
</p>
<p align="center">
<a href="https://github.com/HBAI-Ltd/Toonflow-app/stargazers">
<img src="https://img.shields.io/github/stars/HBAI-Ltd/Toonflow-app?style=for-the-badge&logo=github" alt="Stars Badge" />
</a>
<a href="https://www.apache.org/licenses/LICENSE-2.0" target="_blank">
<img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg?style=for-the-badge" alt="Apache-2.0 License Badge" />
</a>
<a href="https://github.com/HBAI-Ltd/Toonflow-app/releases">
<img alt="release" src="https://img.shields.io/github/v/release/HBAI-Ltd/Toonflow-app?style=for-the-badge" />
</a>
</p>
> 🚀 **Универсальный конвейер коротких сериалов**: от текста к персонажам, от раскадровки к видео, 0 порога по всему процессу на базе AI, рост эффективности творчества 10× и более!
</div>
---
# 🌟 Основные функции
Toonflow — инструмент для создания коротких сериалов и комиксов с помощью AI, позволяющий автоматически превращать романы в сценарии и генерировать изображения и видео с помощью нейросетей. Используя Toonflow, вы легко пройдёте путь от текста к видео: создание коротких фильмов становится умнее и удобнее.
- ✅ **Генерация персонажей**
Автоматически анализирует исходный текст романа, интеллектуально идентифицирует и генерирует параметры персонажей, включая внешний вид, характер, социальный статус и др., формируя прочную основу для дальнейшей разработки сценария и визуала.
- ✅ **Генерация сценария**
На основе выбранных событий и глав система автоматически создает структурированный сценарий, включая диалоги, описание сцен и развитие сюжета, обеспечивая эффективную трансформацию из литературного текста в кинематографический сценарий.
- ✅ **Раскадровка**
На основе сценария AI генерирует креативные промпты и дизайн кадров, прорабатывает передний-средний-задний план, динамику персонажей, реквизит и компоновку сцен, автоматически создаёт раскадровку для дальнейшей видеосборки.
- ✅ **Видеосборка**
Интегрирует AI-технологии генерации изображений и видео. Позволяет создавать фрагменты видео с помощью ИИ. Системы онлайн-редактирования поддерживают индивидуальные настройки и быстрый вывод конечного результата.
---
# 📦 Области применения
- Создание коротких видео-контента
- Эксперименты по экранизации романов
- Инструмент AI для литературных адаптаций
- Разработка сценариев и быстрые прототипы
- Генерация видеоматериалов
---
# 🔰 Руководство пользователя
## 📺 Видеоруководство
https://www.bilibili.com/video/BV1na6wB6Ea2
[![Toonflow — Быстрый старт с AI-видео за 8 минут](./videoCover.png)](https://www.bilibili.com/video/BV1na6wB6Ea2)
**Toonflow: 8 минут до полного освоения AI-видео**
👉 [Смотреть видео](https://www.bilibili.com/video/BV1na6wB6Ea2/?share_source=copy_web&vd_source=5b718c25439a901a34c7bc0c1d35b38e)
📱 Сканируйте WeChat QR-код для просмотра на телефоне
<img src="./videoQR.png" alt="微信扫码观看" width="150"/>
---
# 🚀 Установка
## Предварительные требования
Перед установкой и использованием программы подготовьте следующее:
- ✅ Адрес API сервиса языковой AI-модели
- ✅ Адрес API Sora или Doubao для видео
- ✅ Адрес API сервиса модели Nano Banana Pro для генерации изображений
## Установка локально
### 1. Скачивание и установка
| Операционная система | Скачать с GitHub | Скачать с Quark Disk | Примечание |
| :------------------: | :------------------------------------------------------- | :------------------------------------------------- | :----------------------- |
| Windows | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark Disk](https://pan.quark.cn/s/94ef07509df0) | Официальный установщик |
| Linux | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark Disk](https://pan.quark.cn/s/94ef07509df0) | Официальный установщик |
| macOS | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark Disk](https://pan.quark.cn/s/94ef07509df0) | Официальный установщик |
> [!CAUTION]
> Для macOS: откройте "Настройки → Конфиденциальность и безопасность" и настройте параметры безопасности, иначе может не открыться из-за проблемы с сертификатом.
>
> См. на Zhihu: [https://www.zhihu.com/question/433389276](https://www.zhihu.com/question/433389276)
> Из-за ограничений Gitee OS и лимита по размеру файлов Release — отдельная ссылка для загрузки с Gitee временно недоступна.
### 2. Запуск сервиса
После установки запустите приложение для начала работы.
> ⚠️ **Первый вход**
> Логин: `admin`
> Пароль: `admin123`
## Развертывание через Docker
### Предварительные требования
- Установлен [Docker](https://docs.docker.com/get-docker/) (версия 20.10+)
### Способ 1: Онлайн-развертывание
В разработке — пока используйте локальную сборку.
### Способ 2: Локальная сборка
Собирается локально из скачанного репозитория, подходит для разработчиков либо скачавших код через git:
```shell
# Клонировать проект (если уже есть — пропустите)
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
# Запускаем сборку и запуск с помощью docker-compose
yarn docker:local
# Или вручную
docker build -t toonflow .
docker run -d -p <локальный_порт>:10588 -v <путь_к_данным>:/app/data toonflow
# Доступ по адресу: http://localhost:10588/web/index.html
```
### Описание портов
| Порт | Назначение | Мэппинг в контейнере |
| -------- | ------------- | ---------------------------- |
| `10588` | Web-интерфейс | `10588:10588` |
**Переменные окружения:**
| Переменная | Описание |
| ------------ | --------------------------------------- |
| `NODE_ENV` | Среда запуска, `prod` — продуктивная |
| `PORT` | Порт службы (по умолчанию 10588) |
| `OSSURL` | Доступ к хранилищу файлов, для статики |
---
## Развёртывание в облаке
### 1. Требования к серверу
- **ОС**: Ubuntu 20.04+ / CentOS 7+
- **Node.js**: 24.x (рекомендуется; минимум 23.11.1+)
- **ОЗУ**: от 2 ГБ
### 2. Развёртывание на сервере
#### 1. Установка окружения
```bash
# Установка Node.js
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash
source ~/.bashrc
nvm install 24
# Установка Yarn и PM2
npm install -g yarn pm2
```
#### 2. Развёртывание проекта
**Клонировать из GitHub:**
```bash
cd /opt
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
yarn install
yarn build
```
**Клонировать из Gitee (для пользователей из Китая):**
```bash
cd /opt
git clone https://gitee.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
yarn install
yarn build
```
#### 3. Настройка PM2
Создайте файл `pm2.json`:
```json
{
"name": "toonflow-app",
"script": "data/serve/app.js",
"instances": "max",
"exec_mode": "cluster",
"env": {
"NODE_ENV": "prod",
"PORT": 10588,
"OSSURL": "http://127.0.0.1:10588/"
}
}
```
**Описание переменных:**
| Переменная | Описание |
| ------------ | --------------------------------|
| `NODE_ENV` | Среда запуска, `prod` — продакшн |
| `PORT` | Слушаемый порт |
| `OSSURL` | Адрес доступа к статике |
---
#### 4. Запуск сервиса
```bash
pm2 start pm2.json
pm2 startup
pm2 save
```
#### 5. Полезные команды
```bash
pm2 list # Список процессов
pm2 logs toonflow-app # Просмотр логов
pm2 restart all # Перезапуск сервиса
pm2 monit # Мониторинг
```
> ⚠️ **Первый вход**
> Логин: `admin`
> Пароль: `admin123`
#### 6. Развёртывание фронта
Если нужна кастомизация интерфейса или отдельное развертывание фронта — используйте репозиторий фронтенда:
- **GitHub**: [Toonflow-web](https://github.com/HBAI-Ltd/Toonflow-web)
- **Gitee**: [Toonflow-web](https://gitee.com/HBAI-Ltd/Toonflow-web)
> 💡 **Примечание:** В этот репозиторий уже встроен скомпилированный фронт. Обычным пользователям отдельная установка канала не требуется. Фронт-репозиторий — только для тех, кто хочет разрабатывать/модифицировать UI.
---
# 🔧 Руководство по процессу разработки
> [!CAUTION]
> 🚧 **Правила по PR** 🚧
>
> ⛔ В `master` запрещены любые PR | ✅ Создавайте PR только в ветку `develop`
>
> Разработчиков приглашаем к со-разработке Toonflow! Для участия пишите главному админу ACT в группу.
## 🛠️ Технологический стек
| Категория | Технологии |
| ------------ | ------------------------------------------------------------------------------------------------------------------- |
| Рантайм | Node.js 23.11.1+ |
| Язык | TypeScript 5.x |
| Бэкенд | Express 5 |
| БД | SQLite (better-sqlite3 / knex) |
| AI-интеграции| Vercel AI SDK (OpenAI / Anthropic / Google / DeepSeek / Zhihu / MiniMax / Tongyi Qianwen / xAI) |
| Локальный AI | @huggingface/transformers (ONNX) |
| RTC | Socket.IO |
| Десктоп-клиент| Electron 40 |
| Графика | Sharp |
| Контейнеризация| Docker |
## Подготовка среды разработки
- **Node.js**: не ниже 23.11.1
- **Yarn**: рекомендуется менеджер пакетов
## Быстрый старт проекта
1. **Клонируйте проект**
**С GitHub:**
```bash
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
```
**С Gitee:**
```bash
git clone https://gitee.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
```
2. **Установите зависимости**
В корне проекта выполните:
```bash
yarn install
```
3. **Запуск среды разработки**
Проект состоит из backend API и frontend. Возможные варианты запуска:
- **1: Только backend**
```bash
yarn dev
```
> ⚠️ Запускает только backend API (порт 10588); без интерфейса. Для доступа к UI — используйте отдельный frontend проект или запускайте через GUI-модули ниже.
- **2: Electron-desktop-клиент**
```bash
yarn dev:gui
```
> Открывает backend и Electron GUI-окно — всё встроено, без доп. настроек. Рекомендуется для полноценного использования.
- **3: Режим продакшн**
```bash
yarn start
```
> Запуск производственной сборки (предварительно `yarn build` обязателен).
4. **Сборка проекта**
- Компиляция .ts файлов:
```bash
yarn build
```
- Сборка exe для Windows:
```bash
yarn dist:win
```
- Сборка для Mac:
```bash
yarn dist:mac
```
- Сборка для Linux:
```bash
yarn dist:linux
```
5. **Lint и проверка кода**
- Проверка кода на ошибки и стиль:
```bash
yarn lint
```
6. **AI Debug-панель (по желанию)**
Запуск GUI для отладки AI SDK:
```bash
yarn debug:ai
```
## Фронтенд разработка
Для редактирования интерфейса используйте фронт-репозиторий:
- **GitHub**: [Toonflow-web](https://github.com/HBAI-Ltd/Toonflow-web)
- **Gitee**: [Toonflow-web](https://gitee.com/HBAI-Ltd/Toonflow-web)
После сборки фронта (`dist/`) скопируйте его содержимое в `data/web/` основного проекта.
## Структура проекта
```
📂 build/ # Скомпилированные файлы
📂 data/ # Данные во время работы
│ ├─ 📂 models/ # Локальные AI-модели (ONNX)
│ ├─ 📂 oss/ # Объектное хранилище (ассеты/персонажи/сцены)
│ ├─ 📂 serve/ # Вход в проде
│ ├─ 📂 skills/ # Prompt-словари умений Agent
│ └─ 📂 web/ # Скомпилированный фронтенд (встроен)
📂 docs/ # Документация
📂 env/ # Переменные окружения
📂 scripts/ # Скрипты и утилиты
📂 src/
├─ 📂 agents/ # AI agent-модули
│ ├─ 📂 productionAgent/ # Агент генерации
│ └─ 📂 scriptAgent/ # Агент сценария
├─ 📂 lib/ # Общие библиотеки
├─ 📂 middleware/ # Мидлвари
├─ 📂 routes/ # Роутинг модули
│ ├─ 📂 agents/ # Память агента
│ ├─ 📂 artStyle/ # Управление стилями
│ ├─ 📂 assets/ # Ассеты
│ ├─ 📂 assetsGenerate/ # Генерация ассетов
│ ├─ 📂 cornerScape/ # Раскадровка
│ ├─ 📂 general/ # Общие эндпоинты
│ ├─ 📂 login/ # Авторизация
│ ├─ 📂 migrate/ # Миграции
│ ├─ 📂 modelSelect/ # Выбор модели
│ ├─ 📂 novel/ # Управление романами
│ ├─ 📂 other/ # Другое
│ ├─ 📂 production/ # Управление производством
│ ├─ 📂 project/ # Управление проектом
│ ├─ 📂 script/ # Генерация сценария
│ ├─ 📂 scriptAgent/ # Эндпоинты агента сценария
│ ├─ 📂 setting/ # Настройки системы
│ ├─ 📂 task/ # Задачи
│ └─ 📂 test/ # Тестовые эндпоинты
├─ 📂 socket/ # RealTime WebSocket
├─ 📂 types/ # TypeScript типы
├─ 📂 utils/ # Утилиты
├─ 📄 app.ts # Точка входа
├─ 📄 core.ts # Инициализация ядра
├─ 📄 env.ts # Работа с окружением
├─ 📄 err.ts # Обработка ошибок
├─ 📄 logger.ts # Модуль логгирования
├─ 📄 router.ts # Регистрация роутов
└─ 📄 utils.ts # Вспомогательные функции
📄 Dockerfile # Dockerfile
📄 electron-builder.yml # Конфиг Electron Builder
📄 skillList.json # Список навыков
📄 LICENSE # Лицензия (Apache-2.0)
📄 NOTICES.txt # Информация о сторонних зависимостях
📄 package.json # Конфиг пакетов
📄 tsconfig.json # Конфиг TypeScript
```
---
# 🔗 Связанные репозитории
| Репозиторий | Описание | GitHub | Gitee |
| ---------------- | ------------------------------------- | -------------------------------------------------- | ------------------------------------------------ |
| **Toonflow-app** | Полный клиент (этот, для обычных пользователей) | [GitHub](https://github.com/HBAI-Ltd/Toonflow-app) | [Gitee](https://gitee.com/HBAI-Ltd/Toonflow-app) |
| **Toonflow-web** | Исходный код фронта (для фронтэндеров) | [GitHub](https://github.com/HBAI-Ltd/Toonflow-web) | [Gitee](https://gitee.com/HBAI-Ltd/Toonflow-web) |
> 💡 **Подсказка:** если вы просто хотите пользоваться Toonflow — скачайте этот клиент. Отдельный frontend нужен только разработчикам UI.
---
# 👨‍👩‍👧‍👦 WeChat-группы
~~Группа 1~~
~~Группа 2~~
...
~~Группа 10~~
~~Группа 11~~
~~Группа 12~~
~~Группа 13~~
...
~~Группа 24~~
Ассистент по добавлению в группу:
<img src="./QR.png" alt="Toonflow QR" height="400"/>
---
# 💌 Обратная связь
📧 Email: [ltlctools@outlook.com](mailto:ltlctools@outlook.com?subject=Toonflow咨询)
---
# 📜 Лицензия
Toonflow распространяется по лицензии Apache-2.0 с дополнительным коммерческим соглашением.
Подробности: https://www.apache.org/licenses/LICENSE-2.0
## Дополнительное соглашение
- Если вы распространяете данное ПО как продукт **2 и более независимым третьим сторонам**, необходимо получить **письменную коммерческую лицензию** от HBAI-Ltd.
- **≤ 5 юридических лиц**, совместно использующих ПО для внутренних нужд без предоставления услуг третьим сторонам — это **внутреннее использование, лицензия не требуется**.
- Запрещено удалять или изменять товарные знаки, логотипы или уведомления об авторских правах Toonflow.
## Всегда бесплатно — без лицензии
- ✅ Создание контента в Toonflow и получение дохода на платформах
- ✅ Доработка для внутреннего использования команды
- ✅ ≤ 5 юрлиц — совместная внутренняя эксплуатация
- ✅ Личное обучение, исследования, некоммерческое использование
## Цены на коммерческую лицензию
| Этап | Годовой оборот | Годовая плата |
|------|---------|------|
| 🌱 Старт | < ¥100 тыс. | **Бесплатно** |
| 🚀 Стартап | ¥100–500 тыс. | ¥5 000/год |
| 📈 Рост | ¥500 тыс.–1,5 млн | ¥20 000/год |
| 🏢 Масштаб | ¥1,5–5 млн | ¥80 000/год |
| 🌐 Корпоративный | > ¥5 млн | По договорённости |
> **Условие отсутствия обратной силы**: Пользователи, использовавшие Toonflow по AGPL-3.0 до релиза v1.0.8, продолжают работу по AGPL-3.0 и не затрагиваются данным изменением.
Полный текст соглашения см. в файле [LICENSE](../LICENSE).
---
# ⭐️ История звёзд
[![Star History Chart](https://api.star-history.com/svg?repos=HBAI-Ltd/Toonflow-app&type=timeline&legend=top-left)](https://www.star-history.com/#HBAI-Ltd/Toonflow-app&type=timeline&legend=top-left)
---
# 🙏 Благодарности
Спасибо нижеперечисленным open-source проектам за мощную поддержку Toonflow:
- [Express](https://expressjs.com/) — быстрый, открытый и лёгкий фреймворк для Node.js
- [AI SDK](https://ai-sdk.dev/) — инструменты AI для TypeScript
- [Better-SQLite3](https://github.com/WiseLibs/better-sqlite3) — высокопроизводительная обвязка SQLite3
- [Sharp](https://sharp.pixelplumbing.com/) — быстрая библиотека для работы с изображениями на Node.js
- [Axios](https://axios-http.com/) — HTTP-клиент на промисах
- [Zod](https://zod.dev/) — TS-first валидация схем
- [Socket.IO](https://socket.io/) — обмен событиями в реальном времени
- [Electron](https://www.electronjs.org/) — кроссплатформенный desktop-фреймворк
- [Hugging Face Transformers](https://huggingface.co/docs/transformers.js) — фреймворк для локального ML
Спасибо за поддержку проекту Toonflow от следующих организаций:
<table>
<tr>
<td>
<img src="./sponsored/sophnet.png" alt="算能云 Logo" width="48">
</td>
<td>
<b>Sophnet Cloud</b> — спонсор вычислительных ресурсов
<a href="https://www.sophnet.com/">[сайт]</a>
</td>
</tr>
</table>
Полный список сторонних зависимостей — в файле `NOTICES.txt`

589
docs/README.th.md Normal file
View File

@ -0,0 +1,589 @@
<p>
<a href="https://github.com/HBAI-Ltd/Toonflow-app">
<img src="https://img.shields.io/badge/GitHub-181717?style=flat-square&logo=github&logoColor=white" alt="GitHub" />
</a>
&nbsp;|&nbsp;
<a href="https://gitee.com/HBAI-Ltd/Toonflow-app">
<img src="https://img.shields.io/badge/Gitee-C71D23?style=flat-square&logo=gitee&logoColor=white" alt="Gitee" />
</a>
&nbsp;|&nbsp;
<a href="https://gitcode.com/HBAI-Ltd/Toonflow-app">
<img src="./atomgitLogo.png" alt="Atomgit" style="height:16px"/>
Atomgit
</a>
</p>
<p align="center">
<a href="/README.md">简体中文</a> |
<a href="./README.zhtw.md">繁體中文</a> |
<a href="./README.en.md">English</a> |
<strong>ไทย</strong> |
<a href="./README.vi.md">Tiếng Việt</a> |
<a href="./README.ja.md">日本語</a> |
<a href="./README.ru.md">Русский</a>
</p>
<div align="center">
<img src="./logo.png" alt="Toonflow Logo" height="120"/>
# Toonflow
<p align="center">
<b>
โรงงานละครสั้น AI
<br />
แตะเพียงครั้งเดียว นิยายกลายเป็นตอนทันที!
<br />
สคริปต์ AI × ภาพ AI × สร้างเร็วสายฟ้าแลบ 🔥
</b>
</p>
<p align="center">
<a href="https://github.com/HBAI-Ltd/Toonflow-app/stargazers">
<img src="https://img.shields.io/github/stars/HBAI-Ltd/Toonflow-app?style=for-the-badge&logo=github" alt="Stars Badge" />
</a>
<a href="https://www.apache.org/licenses/LICENSE-2.0" target="_blank">
<img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg?style=for-the-badge" alt="Apache-2.0 License Badge" />
</a>
<a href="https://github.com/HBAI-Ltd/Toonflow-app/releases">
<img alt="release" src="https://img.shields.io/github/v/release/HBAI-Ltd/Toonflow-app?style=for-the-badge" />
</a>
</p>
> 🚀 **ผลิตละครสั้นครบวงจร:** จากข้อความสู่นักแสดง จากสตอรี่บอร์ดสู่วิดีโอ AI แบบเต็มกระบวนการ ทุกขั้นตอน ไม่มีอุปสรรค ประสิทธิภาพสร้าง 10 เท่าขึ้นไป!
</div>
---
# 🌟 ฟีเจอร์หลัก
Toonflow คือเครื่องมือคอมิกละครสั้น AI ที่ใช้เทคโนโลยี AI แปลงนิยายเป็นสคริปต์โดยอัตโนมัติ และใช้ภาพและวิดีโอ AI เพื่อสร้างละครสั้นได้อย่างมีประสิทธิภาพ ด้วย Toonflow คุณสามารถสร้างผลงานจากข้อความสู่ภาพนิ่งจนถึงวิดีโอ ได้อย่างชาญฉลาดและสะดวก
- ✅ **สร้างตัวละครอัตโนมัติ**
วิเคราะห์เนื้อหานิยายต้นฉบับ ระบุและสร้างข้อมูลตัวละครอย่างชาญฉลาด ทั้งรูปร่าง นิสัย ตัวตน เป็นต้น สร้างพื้นฐานที่แข็งแรงสำหรับสคริปต์และภาพในขั้นถัดไป
- ✅ **สร้างสคริปต์อัตโนมัติ**
จากเหตุการณ์และบทที่เลือก ระบบจะสร้างสคริปต์เชิงโครงสร้างอัตโนมัติ ครอบคลุมบทสนทนา คำบรรยายฉาก และทิศทางเนื้อเรื่อง เปลี่ยนข้อความวรรณกรรมเป็นสคริปต์ละครได้อย่างรวดเร็ว
- ✅ **ผลิตสตอรี่บอร์ดอัตโนมัติ**
ตามสคริปต์ สร้างพรอมต์สตอรี่บอร์ดและงานออกแบบภาพอัตโนมัติ รายละเอียดองค์ประกอบหน้า/กลาง/หลัง การเคลื่อนไหวตัวละคร อุปกรณ์ประกอบฉาก และการจัดวางฉาก พลิกสคริปต์เป็นสตอรี่บอร์ดวางแผนผลิตวิดีโอได้ครบถ้วน
- ✅ **ประกอบวิดีโอด้วย AI**
ผนวกเทคโนโลยีภาพและวิดีโอ AI สร้างคลิปวิดีโอด้วย AI รวมฟีเจอร์แก้ไขออนไลน์ รองรับการตั้งค่าผลลัพธ์ที่ปรับแต่งได้ ทำให้การสร้างภาพยนตร์/ละครมีประสิทธิภาพและทำงานร่วมทีมได้
---
# 📦 ตัวอย่างการใช้งาน
- สร้างวิดีโอละครสั้น
- ทดลองแปลงนิยายสู่ภาพยนตร์/ละคร
- เครื่องมือดัดแปลงวรรณกรรมด้วย AI
- การพัฒนาสคริปต์และต้นแบบผลิตงานเร็ว
- สร้างวัตถุดิบประกอบวิดีโอ
---
# 🔰 คู่มือผู้ใช้
## 📺 วิดีโอสอนใช้งาน
https://www.bilibili.com/video/BV1na6wB6Ea2
[![Toonflow 8-Minute Quick Start AI Video](./videoCover.png)](https://www.bilibili.com/video/BV1na6wB6Ea2)
**วิดีโอแนะนำ Toonflow ฉบับเร่งด่วน 8 นาที**
👉 [คลิกเพื่อรับชม](https://www.bilibili.com/video/BV1na6wB6Ea2/?share_source=copy_web&vd_source=5b718c25439a901a34c7bc0c1d35b38e)
📱 สแกนด้วย WeChat บนมือถือเพื่อชม
<img src="./videoQR.png" alt="Scan WeChat to Watch" width="150"/>
---
# 🚀 การติดตั้ง
## สิ่งที่ต้องเตรียมก่อน
ก่อนติดตั้งและใช้งานซอฟต์แวร์นี้ กรุณาเตรียมสิ่งเหล่านี้:
- ✅ ที่อยู่ API บริการ AI แบบ Large Language Model
- ✅ ที่อยู่ API บริการวิดีโอ Sora หรือ Doubao
- ✅ ที่อยู่ API โมเดลสร้างภาพ Nano Banana Pro
## ติดตั้งในเครื่อง (Local Installation)
### 1. ดาวน์โหลดและติดตั้ง
| ระบบปฏิบัติการ | ดาวน์โหลดจาก GitHub | ดาวน์โหลดผ่าน Quark Cloud | หมายเหตุ |
| :--------------: | :------------------------------------------------------------ | :----------------------------------------------- | :------------- |
| Windows | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark Cloud](https://pan.quark.cn/s/94ef07509df0) | ตัวติดตั้งอย่างเป็นทางการ |
| Linux | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark Cloud](https://pan.quark.cn/s/94ef07509df0) | ตัวติดตั้งอย่างเป็นทางการ |
| macOS | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark Cloud](https://pan.quark.cn/s/94ef07509df0) | ตัวติดตั้งอย่างเป็นทางการ |
> [!CAUTION]
> บน MacOS ให้ไปที่ ตั้งค่า - ความเป็นส่วนตัวและความปลอดภัย ตั้งค่าความปลอดภัยก่อน มิฉะนั้นอาจไม่สามารถเปิดแอปได้เพราะปัญหาใบรับรอง
>
> ดูเอกสารฉบับภาษาจีน: [https://www.zhihu.com/question/433389276](https://www.zhihu.com/question/433389276)
> ด้วยข้อจำกัดของสภาพแวดล้อม Gitee OS และขนาดไฟล์ Release การดาวน์โหลดผ่าน Gitee Release ยังไม่เปิดให้บริการในขณะนี้
### 2. เปิดใช้งานโปรแกรม
ติดตั้งเสร็จแล้วให้เปิดโปรแกรมเพื่อเริ่มใช้งาน
> ⚠️ **ล็อกอินครั้งแรก**
> ชื่อผู้ใช้: `admin`
> รหัสผ่าน: `admin123`
## การใช้ Docker
### สิ่งที่ต้องเตรียม
- ติดตั้ง [Docker](https://docs.docker.com/get-docker/) (เวอร์ชัน 20.10+)
### วิธีที่ 1: ติดตั้งออนไลน์
กำลังพัฒนา; ขณะนี้ให้ใช้การ build ในเครื่อง
### วิธีที่ 2: สร้างเองในเครื่อง
สำหรับนักพัฒนา หรือผู้ที่ clone repo แล้ว ต้องติดตั้ง Git ที่เครื่อง
```shell
# clone โปรเจกต์ (ถ้าทำแล้วข้าม)
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
# สร้างและเริ่มผ่าน docker-compose
yarn docker:local
# หรือสร้างแบบ manual
docker build -t toonflow .
docker run -d -p <local_port>:10588 -v <local_data_path>:/app/data toonflow
# ใช้งานที่ /web/index.html ในพอร์ตที่แม็ปไว้ เช่น
# http://localhost:10588/web/index.html
```
### รายละเอียดพอร์ตบริการ
| พอร์ต | วัตถุประสงค์ | Mapping ในการติดตั้ง |
| -------- | ------------ | -------------------- |
| `10588` | ส่วนติดต่อแอป | `10588:10588` |
**รายละเอียดตัวแปรแวดล้อม:**
| ตัวแปร | รายละเอียด |
| ------------- | ----------------------------------------- |
| `NODE_ENV` | สภาพแวดล้อม เลือก `prod` คือ production |
| `PORT` | พอร์ตการฟังบริการ (ค่าเริ่มต้น 10588) |
| `OSSURL` | ที่อยู่สำหรับเข้าถึงไฟล์ static |
---
## ติดตั้งบน Cloud
### 1. ข้อกำหนดเครื่องเซิร์ฟเวอร์
- **ระบบปฏิบัติการ:** Ubuntu 20.04+ / CentOS 7+
- **Node.js:** 24.x (แนะนำ ขั้นต่ำ 23.11.1+)
- **RAM:** 2GB ขึ้นไป
### 2. วิธีติดตั้ง
#### 1. ติดตั้งสภาพแวดล้อม
```bash
# ติดตั้ง Node.js
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash
source ~/.bashrc
nvm install 24
# ติดตั้ง Yarn และ PM2
npm install -g yarn pm2
```
#### 2. ติดตั้งโปรเจกต์
**Clone จาก GitHub:**
```bash
cd /opt
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
yarn install
yarn build
```
**Clone จาก Gitee (แนะนำในจีนแผ่นดินใหญ่):**
```bash
cd /opt
git clone https://gitee.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
yarn install
yarn build
```
#### 3. ตั้งค่า PM2
สร้างไฟล์ `pm2.json`:
```json
{
"name": "toonflow-app",
"script": "data/serve/app.js",
"instances": "max",
"exec_mode": "cluster",
"env": {
"NODE_ENV": "prod",
"PORT": 10588,
"OSSURL": "http://127.0.0.1:10588/"
}
}
```
**รายละเอียดตัวแปรแวดล้อม:**
| ตัวแปร | รายละเอียด |
| ------------- | ---------------------------------------- |
| `NODE_ENV` | สภาพแวดล้อม เลือก `prod` คือ production |
| `PORT` | พอร์ตให้บริการ |
| `OSSURL` | ที่อยู่สำหรับเข้าถึงไฟล์ static |
---
#### 4. เริ่มบริการ
```bash
pm2 start pm2.json
pm2 startup
pm2 save
```
#### 5. คำสั่งที่ใช้บ่อย
```bash
pm2 list # ดูรายชื่อโปรเซส
pm2 logs toonflow-app # ดู Log
pm2 restart all # รีสตาร์ทบริการ
pm2 monit # ดูระบบแบบเรียลไทม์
```
> ⚠️ **ล็อกอินครั้งแรก**
> ชื่อผู้ใช้: `admin`
> รหัสผ่าน: `admin123`
#### 6. ติดตั้งส่วนหน้าเว็บไซต์
ถ้าต้องการใช้ Frontend แยก หรือปรับแต่ UI ศึกษาที่ repo ส่วน frontend:
- **GitHub**: [Toonflow-web](https://github.com/HBAI-Ltd/Toonflow-web)
- **Gitee**: [Toonflow-web](https://gitee.com/HBAI-Ltd/Toonflow-web)
> 💡 **หมายเหตุ:** รีโปนี้ใส่ frontend ที่ compile แล้วมาด้วย ผู้ใช้ทั่วไปไม่จำเป็นต้องติดตั้ง frontend แยก Repo frontend ใช้สำหรับนักพัฒนาที่ต้องการพัฒนาต่อ
---
# 🔧 คู่มือนักพัฒนา
> [!CAUTION]
> 🚧 **แนวทางการส่ง PR** 🚧
>
> ⛔ `master` ไม่รับ PR | ✅ ส่ง PR ที่ `develop`
>
> เชิญนักพัฒนาร่วมพัฒนา Toonflow ติดต่อเจ้าของ ACT ในแชทกลุ่ม
## 🛠️ Tech Stack
| หมวด | เทคโนโลยี |
| ------------ | ------------------------------------------------------------------------------------ |
| Runtime | Node.js 23.11.1+ |
| Language | TypeScript 5.x |
| Backend | Express 5 |
| Database | SQLite (better-sqlite3 / knex) |
| AI Integration | Vercel AI SDK (OpenAI / Anthropic / Google / DeepSeek / Zhipu / MiniMax / Qwen / xAI) |
| Local Inference | @huggingface/transformers (ONNX) |
| Real-Time | Socket.IO |
| Desktop | Electron 40 |
| Image Proc. | Sharp |
| Container | Docker |
## เตรียมสภาพแวดล้อม
- **Node.js:** ต้องใช้ 23.11.1 ขึ้นไปเท่านั้น
- **Yarn:** แนะนำให้ใช้เป็น package manager
## เริ่มพัฒนาอย่างรวดเร็ว
1. **Clone โปรเจกต์**
**GitHub:**
```bash
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
```
**Gitee (ในจีนแผ่นดินใหญ่แนะนำ):**
```bash
git clone https://gitee.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
```
2. **ติดตั้ง dependencies**
รันที่ root directory:
```bash
yarn install
```
3. **เริ่มสภาพแวดล้อมพัฒนา**
โปรเจกต์นี้มี **backend API service** และ **frontend interface** เลือกวิธีเริ่มต้นได้:
- **ตัวเลือก 1: เริ่ม backend อย่างเดียว**
```bash
yarn dev
```
> ⚠️ คำสั่งนี้เปิดเฉพาะ backend API (พอร์ต 10588) **ไม่มี web UI** การเข้า http://localhost:10588 คือเรียก API เท่านั้น การใช้ web UI เต็มรูปแบบใช้วิธีด้านล่าง
- **ตัวเลือก 2: เริ่ม Electron desktop client**
```bash
yarn dev:gui
```
> คำสั่งนี้เปิดทั้ง backend และ Electron window มี web UI built-in พร้อมใช้งาน
- **ตัวเลือก 3: โหมด production**
```bash
yarn start
```
> รันทั้ง backend แบบโปรดักชั่น (ต้อง `yarn build` ก่อน)
4. **คอมไพล์โปรเจกต์**
- คอมไพล์ TypeScript:
```bash
yarn build
```
- สร้าง executable สำหรับ Windows:
```bash
yarn dist:win
```
- สร้าง executable สำหรับ Mac:
```bash
yarn dist:mac
```
- สร้าง executable สำหรับ Linux:
```bash
yarn dist:linux
```
5. **ตรวจสอบคุณภาพโค้ด**
- เช็ค lint:
```bash
yarn lint
```
6. **AI Debug panel (ไม่บังคับ)**
รัน Visual Debugging Tool ของ Vercel AI SDK เพื่อ debug integration AI ได้ง่ายขึ้น:
```bash
yarn debug:ai
```
## การพัฒนา Frontend
หากต้องการพัฒนา UI แก้ไขที่ frontend repo:
- **GitHub**: [Toonflow-web](https://github.com/HBAI-Ltd/Toonflow-web)
- **Gitee**: [Toonflow-web](https://gitee.com/HBAI-Ltd/Toonflow-web)
หลัง build frontend แล้ว ให้นำไฟล์ใน `dist` ไปวางใน `data/web` ของโปรเจกต์นี้
## โครงสร้างโปรเจกต์
```
📂 build/ # ผลลัพธ์หลังคอมไพล์
📂 data/ # ข้อมูล runtime
│ ├─ 📂 models/ # โมเดล inference ในเครื่อง (ONNX)
│ ├─ 📂 oss/ # ที่เก็บวัตถุ (assets/character/scene)
│ ├─ 📂 serve/ # จุดเริ่ม production
│ ├─ 📂 skills/ # เอเจนท์พรอมต์ทักษะต่างๆ
│ └─ 📂 web/ # asset frontend ที่มาในตัว
📂 ./ # เอกสาร
📂 env/ # ไฟล์ config environment
📂 scripts/ # script สร้างและช่วยงาน
📂 src/
├─ 📂 agents/ # โมดูล AI Agent ต่างๆ
│ ├─ 📂 productionAgent/ # เอเจนท์ผลิตงาน
│ └─ 📂 scriptAgent/ # เอเจนท์สคริปต์
├─ 📂 lib/ # ไลบรารีทั่วไป (db, response)
├─ 📂 middleware/ # Middleware ต่างๆ
├─ 📂 routes/ # เส้นทาง API หลัก
│ ├─ 📂 agents/ # จัดการความจำเอเจนท์
│ ├─ 📂 artStyle/ # จัดการสไตล์ศิลปะ
│ ├─ 📂 assets/ # จัดการ asset
│ ├─ 📂 assetsGenerate/ # สร้าง asset อัตโนมัติ
│ ├─ 📂 cornerScape/ # จัดการสตอรี่บอร์ด
│ ├─ 📂 general/ # API ทั่วไป
│ ├─ 📂 login/ # ยืนยันตัวตนเข้าใช้
│ ├─ 📂 migrate/ # ย้ายโครงสร้างข้อมูล
│ ├─ 📂 modelSelect/ # จัดการเลือกโมเดล
│ ├─ 📂 novel/ # จัดการนิยาย
│ ├─ 📂 other/ # ฟีเจอร์อื่นๆ
│ ├─ 📂 production/ # จัดการการผลิต
│ ├─ 📂 project/ # จัดการโปรเจกต์
│ ├─ 📂 script/ # สร้างสคริปต์
│ ├─ 📂 scriptAgent/ # Endpoint AI Agent สคริปต์
│ ├─ 📂 setting/ # ตั้งค่าระบบ
│ ├─ 📂 task/ # จัดการงาน
│ └─ 📂 test/ # ทดสอบ API
├─ 📂 socket/ # การสื่อสาร WebSocket
├─ 📂 types/ # TypeScript type definitions
├─ 📂 utils/ # ฟังก์ชันอรรถประโยชน์
├─ 📄 app.ts # จุดเข้าแอป
├─ 📄 core.ts # core initialization
├─ 📄 env.ts # ตัวแปร env
├─ 📄 err.ts # จัดการ error
├─ 📄 logger.ts # log โมดูล
├─ 📄 router.ts # ลงทะเบียน route ต่าง ๆ
└─ 📄 utils.ts # เครื่องมือทั่วไป
📄 Dockerfile # config สำหรับ docker build
📄 electron-builder.yml # config แพ็ค Electron
📄 skillList.json # รายการทักษะ
📄 LICENSE # ใบอนุญาต Apache-2.0
📄 NOTICES.txt # รายงานไลบรารีที่ใช้
📄 package.json # config โปรเจกต์
📄 tsconfig.json # TypeScript config
```
---
# 🔗 รีโพที่เกี่ยวข้อง
| รีโพ | คำอธิบาย | GitHub | Gitee |
| ------------ | ----------------- | ----------------------------------------------- | -------------------------------------------- |
| **Toonflow-app** | ตัวเต็ม (รีโปนี้, สำหรับผู้ใช้) | [GitHub](https://github.com/HBAI-Ltd/Toonflow-app) | [Gitee](https://gitee.com/HBAI-Ltd/Toonflow-app) |
| **Toonflow-web** | ซอร์ส frontend (สำหรับ dev FE) | [GitHub](https://github.com/HBAI-Ltd/Toonflow-web) | [Gitee](https://gitee.com/HBAI-Ltd/Toonflow-web) |
> 💡 **หมายเหตุ:** ถ้าแค่ต้องการใช้งาน ดาวน์โหลดไคลเอนต์จากรีโปนี้ได้เลย รีโป frontend เหมาะสำหรับ dev ที่จะพัฒนา UI ต่อ
---
# 👨‍👩‍👧‍👦 กลุ่ม WeChat
~~กลุ่ม 1~~
~~กลุ่ม 2~~
...
~~กลุ่ม 10~~
~~กลุ่ม 11~~
~~กลุ่ม 12~~
~~กลุ่ม 13~~
...
~~กลุ่ม 24~~
ผู้ช่วยกลุ่ม:
<img src="./QR.png" alt="Toonflow QR" height="400"/>
---
# 💌 ติดต่อเรา
📧 อีเมล: [ltlctools@outlook.com](mailto:ltlctools@outlook.com?subject=Toonflow inquiry)
---
# 📜 ใบอนุญาต
Toonflow เป็นโอเพ่นซอร์สภายใต้ Apache-2.0 พร้อมข้อตกลงเชิงพาณิชย์เพิ่มเติม
รายละเอียด: https://www.apache.org/licenses/LICENSE-2.0
## ข้อตกลงเพิ่มเติม
- หากแจกจ่ายซอฟต์แวร์นี้ในฐานะผลิตภัณฑ์ให้ **บุคคลที่สามอิสระ 2 รายขึ้นไป** ต้องได้รับ **อนุญาตเชิงพาณิชย์เป็นลายลักษณ์อักษร** จาก HBAI-Ltd
- **≤ 5 นิติบุคคล** ร่วมดำเนินงานภายในโดยไม่ให้บริการภายนอก ถือเป็น **การใช้งานภายใน ไม่ต้องขออนุญาต**
- ห้ามลบหรือแก้ไขเครื่องหมายการค้า โลโก้ หรือข้อมูลลิขสิทธิ์ใน Toonflow
## ใช้งานฟรีตลอดกาล
- ✅ ใช้ Toonflow สร้างเนื้อหาและรับส่วนแบ่งรายได้จากแพลตฟอร์ม
- ✅ พัฒนาต่อยอดสำหรับทีมภายใน
- ✅ ≤ 5 นิติบุคคลร่วมดำเนินงานภายใน
- ✅ เรียนรู้ส่วนตัว วิจัย และใช้งานที่ไม่ใช่เชิงพาณิชย์
## ราคาใบอนุญาตเชิงพาณิชย์
| ระยะ | ยอดขายต่อปี | ค่าธรรมเนียมต่อปี |
|------|---------|------|
| 🌱 บ่มเพาะ | < ¥100,000 | **ฟรี** |
| 🚀 สตาร์ทอัพ | ¥100,000–500,000 | ¥5,000/ปี |
| 📈 เติบโต | ¥500,000–1,500,000 | ¥20,000/ปี |
| 🏢 ขยายตัว | ¥1,500,000–5,000,000 | ¥80,000/ปี |
| 🌐 องค์กร | > ¥5,000,000 | เจรจา |
> **เงื่อนไขไม่ย้อนหลัง**: ผู้ใช้ที่ใช้ Toonflow ภายใต้ AGPL-3.0 ก่อนการเผยแพร่ v1.0.8 จะไม่ได้รับผลกระทบจากการเปลี่ยนแปลงนี้ การใช้งานปัจจุบันยังคงเป็นไปตาม AGPL-3.0
ดูข้อตกลงฉบับเต็มที่ [LICENSE](../LICENSE)
---
# ⭐️ ประวัติการกดดาว
[![Star History Chart](https://api.star-history.com/svg?repos=HBAI-Ltd/Toonflow-app&type=timeline&legend=top-left)](https://www.star-history.com/#HBAI-Ltd/Toonflow-app&type=timeline&legend=top-left)
---
# 🙏 ขอขอบคุณ
ขอบคุณโอเพ่นซอร์สต่อไปนี้ที่สนับสนุน Toonflow:
- [Express](https://expressjs.com/) - เฟรมเวิร์ก Node.js ที่เร็ว เล็ก และเปิดกว้าง
- [AI SDK](https://ai-sdk.dev/) - ชุดเครื่องมือ AI-first สำหรับ TypeScript
- [Better-SQLite3](https://github.com/WiseLibs/better-sqlite3) - Binding SQLite3 ประสิทธิภาพสูง
- [Sharp](https://sharp.pixelplumbing.com/) - ไลบรารีจัดการภาพบน Node.js ประสิทธิภาพสูง
- [Axios](https://axios-http.com/) - HTTP client แบบ Promise
- [Zod](https://zod.dev/) - ไลบรารีตรวจสอบชนิด TypeScript เป็นหลัก
- [Socket.IO](https://socket.io/) - เฟรมเวิร์ก event bidirectional แบบเรียลไทม์
- [Electron](https://www.electronjs.org/) - เฟรมเวิร์กสร้างแอปเดสก์ท็อปข้ามแพลตฟอร์ม
- [Hugging Face Transformers](https://huggingface.co./transformers.js) - ไลบรารี ML inference ในเครื่อง
ขอบคุณองค์กร/บุคคลต่อไปนี้สนับสนุน Toonflow:
<table>
<tr>
<td>
<img src="./sponsored/sophnet.png" alt="SophNet Logo" width="48">
</td>
<td>
<b>SophNet Cloud</b> เป็นผู้สนับสนุนทรัพยากรการประมวลผล
<a href="https://www.sophnet.com/">[เว็บไซต์]</a>
</td>
</tr>
</table>
รายชื่อไลบรารีภายนอกทั้งหมด ดูได้ที่ `NOTICES.txt`

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<p>
<a href="https://github.com/HBAI-Ltd/Toonflow-app">
<img src="https://img.shields.io/badge/GitHub-181717?style=flat-square&logo=github&logoColor=white" alt="GitHub" />
</a>
&nbsp;|&nbsp;
<a href="https://gitee.com/HBAI-Ltd/Toonflow-app">
<img src="https://img.shields.io/badge/Gitee-C71D23?style=flat-square&logo=gitee&logoColor=white" alt="Gitee" />
</a>
&nbsp;|&nbsp;
<a href="https://gitcode.com/HBAI-Ltd/Toonflow-app">
<img src="./atomgitLogo.png" alt="Atomgit" style="height:16px"/>
Atomgit
</a>
</p>
<p align="center">
<a href="/README.md">简体中文</a> |
<a href="./README.zhtw.md">繁體中文</a> |
<a href="./README.en.md">English</a> |
<a href="./README.th.md">ไทย</a> |
<strong>Tiếng Việt</strong> |
<a href="./README.ja.md">日本語</a> |
<a href="./README.ru.md">Русский</a>
</p>
<div align="center">
<img src="./logo.png" alt="Toonflow Logo" height="120"/>
# Toonflow
<p align="center">
<b>
Xưởng sản xuất phim ngắn AI
<br />
Động ngón tay là tiểu thuyết hóa thành phim ngay!
<br />
Kịch bản AI × Hình ảnh AI × Tạo dựng thần tốc 🔥
</b>
</p>
<p align="center">
<a href="https://github.com/HBAI-Ltd/Toonflow-app/stargazers">
<img src="https://img.shields.io/github/stars/HBAI-Ltd/Toonflow-app?style=for-the-badge&logo=github" alt="Stars Badge" />
</a>
<a href="https://www.apache.org/licenses/LICENSE-2.0" target="_blank">
<img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg?style=for-the-badge" alt="Apache-2.0 License Badge" />
</a>
<a href="https://github.com/HBAI-Ltd/Toonflow-app/releases">
<img alt="release" src="https://img.shields.io/github/v/release/HBAI-Ltd/Toonflow-app?style=for-the-badge" />
</a>
</p>
> 🚀 **Công cụ sản xuất phim ngắn một cửa**: Từ văn bản tới nhân vật, từ dàn cảnh tới video, toàn bộ quy trình AI hóa không cần kỹ năng, tăng hiệu quả sáng tạo gấp 10 lần+!
</div>
---
# 🌟 Tính năng chính
Toonflow là công cụ AI tạo phim truyện tranh ngắn, tận dụng công nghệ AI để chuyển tự động tiểu thuyết thành kịch bản, kết hợp hình ảnh, video AI để sáng tác phim ngắn hiệu quả. Với Toonflow, bạn dễ dàng hoàn thành toàn bộ quy trình từ văn bản tới hình ảnh, khiến chế tác phim ngắn trở nên thông minh và tiện lợi hơn bao giờ hết.
- ✅ **Tạo nhân vật**
Phân tích tự động văn bản tiểu thuyết gốc, nhận diện thông minh và xây dựng thiết lập nhân vật, gồm ngoại hình, tính cách, thân phận,... cung cấp nền tảng chắc chắn cho sáng tác kịch bản và hình ảnh sau này.
- ✅ **Tạo kịch bản**
Dựa trên sự kiện và chương đã chọn, hệ thống tự động tạo kịch bản có cấu trúc gồm thoại, mô tả cảnh, diễn biến tình tiết, chuyển đổi hiệu quả từ văn học sang kịch bản truyền hình, điện ảnh.
- ✅ **Làm phân cảnh**
Theo nội dung kịch bản, tự động tạo từ khóa phân cảnh, thiết kế hình ảnh, chi tiết tiền trung hậu cảnh, động thái nhân vật, thiết lập đạo cụ và bố trí trường quay, tự động phân cảnh dựa trên kịch bản, tối ưu đường lối sản xuất video.
- ✅ **Tổng hợp video**
Tích hợp công nghệ tạo ảnh và video AI, dùng AI tạo phân đoạn video, biên tập trực tuyến, hỗ trợ điều chỉnh cá nhân hóa đầu ra, giúp sáng tác phim hiệu quả, triển khai nhanh.
---
# 📦 Ứng dụng
- Sáng tác nội dung video ngắn
- Thử nghiệm điện ảnh hóa tiểu thuyết
- Công cụ AI chuyển thể văn học
- Phát triển, dựng mẫu nhanh kịch bản
- Tạo nguyên liệu video
---
# 🔰 Hướng dẫn sử dụng
## 📺 Video hướng dẫn
https://www.bilibili.com/video/BV1na6wB6Ea2
[![Toonflow 8 phút nhanh chóng làm chủ AI Video](./videoCover.png)](https://www.bilibili.com/video/BV1na6wB6Ea2)
**Toonflow 8 phút nhanh chóng bắt đầu với AI Video**
👉 [Click xem tại đây](https://www.bilibili.com/video/BV1na6wB6Ea2/?share_source=copy_web&vd_source=5b718c25439a901a34c7bc0c1d35b38e)
📱 Quét mã QR trên WeChat để xem trên điện thoại
<img src="./videoQR.png" alt="微信扫码观看" width="150"/>
---
# 🚀 Cài đặt
## Điều kiện tiên quyết
Trước khi cài đặt và sử dụng, hãy chuẩn bị:
- ✅ Địa chỉ API dịch vụ mô hình ngôn ngữ lớn (AI)
- ✅ Địa chỉ API dịch vụ video Sora hoặc Đậu Bao
- ✅ Địa chỉ API dịch vụ tạo ảnh Nano Banana Pro
## Cài đặt tại máy
### 1. Tải về & cài đặt
| Hệ điều hành | Tải GitHub | Tải qua Quark Drive | Ghi chú |
| :---------: | :-------------------------------------------------------- | :--------------------------------------------- | :-------------- |
| Windows | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark Drive](https://pan.quark.cn/s/94ef07509df0) | Gói cài chính thức|
| Linux | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark Drive](https://pan.quark.cn/s/94ef07509df0) | Gói cài chính thức|
| macOS | [Release](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark Drive](https://pan.quark.cn/s/94ef07509df0) | Gói cài chính thức|
> [!CAUTION]
> Đối với MacOS, vào Cài đặt - Quyền riêng tư & Bảo mật để cấu hình, nếu không phần mềm có thể không mở được do vấn đề chứng chỉ
>
> Tham khảo tài liệu Zhihu: [https://www.zhihu.com/question/433389276](https://www.zhihu.com/question/433389276)
> Do hạn chế môi trường Gitee OS và kích thước upload Release, hiện chưa cung cấp đường dẫn tải Release tại Gitee.
### 2. Khởi động dịch vụ
Cài đặt xong, mở chương trình là có thể bắt đầu sử dụng.
> ⚠️ **Đăng nhập lần đầu**
> Tài khoản: `admin`
> Mật khẩu: `admin123`
## Triển khai Docker
### Điều kiện
- Đã cài đặt [Docker](https://docs.docker.com/get-docker/) (version 20.10+)
### Cách 1: Triển khai trực tuyến
Đang hoàn thiện, tạm thời sử dụng build trên máy.
### Cách 2: Build local
Dùng mã nguồn sẵn có, phù hợp cho dev hoặc người đã clone repo, cần cài git trên máy:
```shell
# Clone nếu chưa có
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
# Build và khởi động bằng docker-compose
yarn docker:local
# Hoặc build thủ công
docker build -t toonflow .
docker run -d -p <cổng máy>:10588 -v <đường dẫn data>: /app/data toonflow
# Sau đó, truy cập trang qua /web/index.html trên cổng phù hợp
# Ví dụ http://localhost:10588/web/index.html
```
### Giải thích cổng dịch vụ
| Cổng | Mục đích | Mapping deploy |
| --------- | ------------- | ------------------- |
| `10588` | Giao diện | `10588:10588` |
**Các biến môi trường:**
| Biến | Giải thích |
| ----------- | -------------------------------------- |
| `NODE_ENV` | Môi trường chạy, `prod` là production |
| `PORT` | Cổng dịch vụ (mặc định 10588) |
| `OSSURL` | Địa chỉ truy cập tệp tĩnh (OSS) |
---
## Triển khai trên máy chủ
### A. Yêu cầu máy chủ
- **Hệ điều hành**: Ubuntu 20.04+ / CentOS 7+
- **Node.js**: 24.x (khuyến nghị, tối thiểu 23.11.1+)
- **RAM**: 2GB+
### B. Triển khai
#### 1. Cài đặt môi trường
```bash
# Cài Node.js
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash
source ~/.bashrc
nvm install 24
# Cài Yarn & PM2
npm install -g yarn pm2
```
#### 2. Triển khai dự án
**Clone từ GitHub:**
```bash
cd /opt
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
yarn install
yarn build
```
**Clone từ Gitee (khuyên dùng tại VN):**
```bash
cd /opt
git clone https://gitee.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
yarn install
yarn build
```
#### 3. Cấu hình PM2
Tạo file `pm2.json`:
```json
{
"name": "toonflow-app",
"script": "data/serve/app.js",
"instances": "max",
"exec_mode": "cluster",
"env": {
"NODE_ENV": "prod",
"PORT": 10588,
"OSSURL": "http://127.0.0.1:10588/"
}
}
```
**Giải thích biến môi trường:**
| Biến | Giải thích |
| ----------- | -------------------------------------- |
| `NODE_ENV` | Môi trường chạy, `prod` là production |
| `PORT` | Cổng dịch vụ |
| `OSSURL` | Địa chỉ truy cập tài nguyên tĩnh |
---
#### 4. Khởi động dịch vụ
```bash
pm2 start pm2.json
pm2 startup
pm2 save
```
#### 5. Lệnh thường dùng
```bash
pm2 list # Xem danh sách tiến trình
pm2 logs toonflow-app # Xem logs
pm2 restart all # Khởi động lại dịch vụ
pm2 monit # Màn hình monitor
```
> ⚠️ **Đăng nhập lần đầu**
> Tài khoản: `admin`
> Mật khẩu: `admin123`
#### 6. Triển khai web frontend
Nếu cần deploy riêng hoặc custom giao diện, tham khảo mã nguồn frontend:
- **GitHub**: [Toonflow-web](https://github.com/HBAI-Ltd/Toonflow-web)
- **Gitee**: [Toonflow-web](https://gitee.com/HBAI-Ltd/Toonflow-web)
> 💡 **Ghi chú**: Repo này đã chứa sẵn tài nguyên frontend được build, người dùng thông thường không cần deploy thêm phần giao diện, repo frontend chỉ dành cho dev muốn tùy biến sâu.
---
# 🔧 Hướng dẫn quy trình phát triển
> [!CAUTION]
> 🚧 **Quy tắc gửi PR** 🚧
>
> ⛔ Không nhận PR gửi thẳng vào nhánh `master` ｜ ✅ Gửi PR vào nhánh `develop`
>
> Chào mừng các dev cùng góp sức phát triển Toonflow. Muốn tham gia nhóm, liên hệ admin ACT trong group chat.
## 🛠️ Công nghệ sử dụng
| Loại | Công nghệ |
| ---------- | --------------------------------------------------------------------------------------------- |
| Runtime | Node.js 23.11.1+ |
| Ngôn ngữ | TypeScript 5.x |
| Backend | Express 5 |
| Database | SQLite (better-sqlite3/knex) |
| Tích hợp AI| Vercel AI SDK (OpenAI/Anthropic/Google/DeepSeek/Zhipu/MiniMax/TongyiQianwen/xAI) |
| Suy luận local| @huggingface/transformers (ONNX) |
| Realtime | Socket.IO |
| Desktop | Electron 40 |
| Xử lý ảnh | Sharp |
| Container | Docker |
## Chuẩn bị môi trường phát triển
- **Node.js**: yêu cầu >= 23.11.1
- **Yarn**: khuyến nghị quản lý package
## Khởi động nhanh
1. **Clone dự án**
**Từ GitHub:**
```bash
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
```
**Từ Gitee (khuyên dùng VN):**
```bash
git clone https://gitee.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
```
2. **Cài dependency**
Chạy trong thư mục gốc:
```bash
yarn install
```
3. **Khởi động môi trường dev**
Dự án gồm 2 phần: **API backend** và **giao diện frontend**. Tuỳ bạn chọn cách chạy:
- **Cách 1: Chạy chỉ API backend**
```bash
yarn dev
```
> ⚠️ Lệnh này chỉ khởi động API backend (port 10588), **không gồm frontend** và truy cập `http://localhost:10588` chỉ gọi được API, không có web. Nếu muốn vừa backend vừa giao diện web, chạy GUI hoặc deploy bổ sung frontend.
- **Cách 2: Chạy GUI ứng dụng desktop Electron**
```bash
yarn dev:gui
```
> Lệnh này khởi động backend đồng thời mở cửa sổ desktop Electron có build frontend sẵn, dùng liền, không cấu hình gì thêm. Dành cho dev muốn trải nghiệm trọn bộ.
- **Cách 3: Chạy chế độ production**
```bash
yarn start
```
> Chạy trực tiếp bản build (cần build bằng `yarn build` trước).
4. **Đóng gói dự án**
- Biên dịch TypeScript:
```bash
yarn build
```
- Đóng gói thành exe Windows:
```bash
yarn dist:win
```
- Đóng gói MacOS:
```bash
yarn dist:mac
```
- Đóng gói Linux:
```bash
yarn dist:linux
```
5. **Kiểm tra chất lượng code**
- Đánh giá tổng thể chuẩn code:
```bash
yarn lint
```
6. **Bảng debug AI (tùy chọn)**
Khởi động bảng debug AI SDK, dễ test AI call:
```bash
yarn debug:ai
```
## Phát triển Frontend
Nếu muốn chỉnh sửa UI, vào repo frontend:
- **GitHub**: [Toonflow-web](https://github.com/HBAI-Ltd/Toonflow-web)
- **Gitee**: [Toonflow-web](https://gitee.com/HBAI-Ltd/Toonflow-web)
Sau khi build frontend, copy thư mục `dist` vào `data/web` của repo này để tích hợp.
## Cấu trúc dự án
```
📂 build/ # File build
📂 data/ # Dữ liệu runtime
│ ├─ 📂 models/ # Model local (ONNX)
│ ├─ 📂 oss/ # Lưu trữ asset (media/nhân vật/cảnh)
│ ├─ 📂 serve/ # Entry prod
│ ├─ 📂 skills/ # Prompt kỹ năng Agent
│ └─ 📂 web/ # Thành phẩm frontend (built-in)
📂 docs/ # Tài liệu
📂 env/ # Cấu hình môi trường
📂 scripts/ # Script build & phụ trợ
📂 src/
├─ 📂 agents/ # Module AI Agent
│ ├─ 📂 productionAgent/ # Agent sản xuất
│ └─ 📂 scriptAgent/ # Agent kịch bản
├─ 📂 lib/ # Thư viện chung (init db, response...)
├─ 📂 middleware/ # Middleware
├─ 📂 routes/ # Router các module
│ ├─ 📂 agents/ # Quản lý memory Agent
│ ├─ 📂 artStyle/ # Quản lý style tranh
│ ├─ 📂 assets/ # Asset
│ ├─ 📂 assetsGenerate/ # Sinh asset
│ ├─ 📂 cornerScape/ # Quản lý phân cảnh
│ ├─ 📂 general/ # API chung
│ ├─ 📂 login/ # Đăng nhập/ xác thực
│ ├─ 📂 migrate/ # Di trú dữ liệu
│ ├─ 📂 modelSelect/ # Chọn model AI
│ ├─ 📂 novel/ # Quản lý tiểu thuyết
│ ├─ 📂 other/ # Chức năng khác
│ ├─ 📂 production/ # Quản lý sản xuất
│ ├─ 📂 project/ # Quản lý project
│ ├─ 📂 script/ # Tạo kịch bản
│ ├─ 📂 scriptAgent/ # API Agent kịch bản
│ ├─ 📂 setting/ # Thiết lập hệ thống
│ ├─ 📂 task/ # Quản lý task
│ └─ 📂 test/ # API test
├─ 📂 socket/ # WebSocket realtime
├─ 📂 types/ # Định nghĩa TypeScript
├─ 📂 utils/ # Hàm tiện ích
├─ 📄 app.ts # App entry
├─ 📄 core.ts # Init core
├─ 📄 env.ts # Xử lý biến môi trường
├─ 📄 err.ts # Xử lý lỗi
├─ 📄 logger.ts # Ghi log
├─ 📄 router.ts # Đăng ký routes
└─ 📄 utils.ts # Tiện ích chung
📄 Dockerfile # Build Docker
📄 electron-builder.yml # Cấu hình build Electron
📄 skillList.json # Danh sách skill
📄 LICENSE # License (Apache-2.0)
📄 NOTICES.txt # Ghi chú phụ thuộc third-party
📄 package.json # Cấu hình dự án
📄 tsconfig.json # Cấu hình TypeScript
```
---
# 🔗 Repo liên quan
| Repo | Giải thích | GitHub | Gitee |
| ---------------- | -------------------------------- | -------------------------------------------------- | ------------------------------------------------ |
| **Toonflow-app** | Ứng dụng client đầy đủ (repo này, người dùng nên dùng) | [GitHub](https://github.com/HBAI-Ltd/Toonflow-app) | [Gitee](https://gitee.com/HBAI-Ltd/Toonflow-app) |
| **Toonflow-web** | Mã nguồn frontend (cho dev UI) | [GitHub](https://github.com/HBAI-Ltd/Toonflow-web) | [Gitee](https://gitee.com/HBAI-Ltd/Toonflow-web) |
> 💡 **Lưu ý**: Nếu chỉ muốn dùng Toonflow, tải về client repo này là đủ. Repo frontend chỉ dành cho ai cần phát triển/custome UI thêm.
---
# 👨‍👩‍👧‍👦 Nhóm chat WeChat
~~Nhóm 1~~
~~Nhóm 2~~
...
~~Nhóm 10~~
~~Nhóm 11~~
~~Nhóm 12~~
~~Nhóm 13~~
...
~~Nhóm 24~~
Bot mời tham gia:
<img src="./QR.png" alt="Toonflow QR" height="400"/>
---
# 💌 Liên hệ
📧 Email: [ltlctools@outlook.com](mailto:ltlctools@outlook.com?subject=Toonflow咨询)
---
# 📜 Giấy phép
Toonflow phát hành mã nguồn mở theo Apache-2.0, kèm thỏa thuận thương mại bổ sung.
Chi tiết: https://www.apache.org/licenses/LICENSE-2.0
## Thỏa thuận bổ sung
- Nếu phân phối phần mềm này dưới dạng sản phẩm cho **2 bên thứ ba độc lập trở lên**, bạn phải có **ủy quyền thương mại bằng văn bản** từ HBAI-Ltd.
- **≤ 5 pháp nhân** cùng vận hành nội bộ mà không cung cấp dịch vụ ra bên ngoài được coi là **sử dụng nội bộ, không cần ủy quyền**.
- Không được xóa hoặc sửa đổi nhãn hiệu, logo hoặc thông tin bản quyền trong Toonflow.
## Miễn phí vĩnh viễn
- ✅ Sử dụng Toonflow tạo nội dung và nhận chia sẻ doanh thu nền tảng
- ✅ Phát triển thêm cho sử dụng nội bộ nhóm
- ✅ ≤ 5 pháp nhân vận hành chung nội bộ
- ✅ Học tập cá nhân, nghiên cứu, mục đích phi thương mại
## Bảng giá ủy quyền thương mại
| Giai đoạn | Doanh thu năm | Phí hàng năm |
|------|---------|------|
| 🌱 Ươm tạo | < ¥100,000 | **Miễn phí** |
| 🚀 Khởi nghiệp | ¥100,000–500,000 | ¥5,000/năm |
| 📈 Tăng trưởng | ¥500,000–1,500,000 | ¥20,000/năm |
| 🏢 Mở rộng | ¥1,500,000–5,000,000 | ¥80,000/năm |
| 🌐 Doanh nghiệp | > ¥5,000,000 | Thương lượng |
> **Điều khoản không hồi tố**: Người dùng đã sử dụng Toonflow theo AGPL-3.0 trước khi phát hành v1.0.8 không bị ảnh hưởng. Việc sử dụng hiện tại tiếp tục theo AGPL-3.0.
Xem thỏa thuận đầy đủ tại [LICENSE](../LICENSE).
---
# ⭐️ Lịch sử đánh dấu sao
[![Star History Chart](https://api.star-history.com/svg?repos=HBAI-Ltd/Toonflow-app&type=timeline&legend=top-left)](https://www.star-history.com/#HBAI-Ltd/Toonflow-app&type=timeline&legend=top-left)
---
# 🙏 Lời cảm ơn
Cảm ơn các dự án open source sau đã hỗ trợ Toonflow mạnh mẽ:
- [Express](https://expressjs.com/) - Framework Web Node.js nhanh, mở, gọn nhẹ
- [AI SDK](https://ai-sdk.dev/) - Bộ tool AI cho TypeScript
- [Better-SQLite3](https://github.com/WiseLibs/better-sqlite3) - Bindings SQLite3 hiệu năng cao
- [Sharp](https://sharp.pixelplumbing.com/) - Thư viện xử lý ảnh Node.js nhanh
- [Axios](https://axios-http.com/) - HTTP client dựa trên Promise
- [Zod](https://zod.dev/) - Library kiểm tra schema ưu tiên TypeScript
- [Socket.IO](https://socket.io/) - Engine realtime song phương sự kiện
- [Electron](https://www.electronjs.org/) - Framework phát triển desktop app đa nền tảng
- [Hugging Face Transformers](https://huggingface.co/docs/transformers.js) - Thư viện infer ML local
Cảm ơn các tổ chức/đơn vị/cá nhân sau đã hỗ trợ Toonflow:
<table>
<tr>
<td>
<img src="./sponsored/sophnet.png" alt="算能云 Logo" width="48">
</td>
<td>
<b>Suanneng Cloud</b> tài trợ năng lực tính toán
<a href="https://www.sophnet.com/">[Trang chủ]</a>
</td>
</tr>
</table>
Danh sách phụ thuộc bên thứ ba, vui lòng xem `NOTICES.txt`

588
docs/README.zhtw.md Normal file
View File

@ -0,0 +1,588 @@
<p>
<a href="https://github.com/HBAI-Ltd/Toonflow-app">
<img src="https://img.shields.io/badge/GitHub-181717?style=flat-square&logo=github&logoColor=white" alt="GitHub" />
</a>
&nbsp;|&nbsp;
<a href="https://gitee.com/HBAI-Ltd/Toonflow-app">
<img src="https://img.shields.io/badge/Gitee-C71D23?style=flat-square&logo=gitee&logoColor=white" alt="Gitee" />
</a>
&nbsp;|&nbsp;
<a href="https://gitcode.com/HBAI-Ltd/Toonflow-app">
<img src="./atomgitLogo.png" alt="Atomgit" style="height:16px"/>
Atomgit
</a>
</p>
<p align="center">
<a href="../README.md">简体中文</a> |
<strong>繁體中文</strong> |
<a href="./README.en.md">English</a> |
<a href="./README.en.md">ไทย</a> |
<a href="./README.en.md">Tiếng Việt</a> |
<a href="./README.en.md">日本語</a> |
<a href="./README.en.md">Русский</a>
</p>
<div align="center">
<img src="./logo.png" alt="Toonflow Logo" height="120"/>
# Toonflow
<p align="center">
<b>
AI短劇工廠
<br />
一鍵點擊，小說秒變短劇！
<br />
AI劇本 × AI視覺 × 渦輪生成 🔥
</b>
</p>
<p align="center">
<a href="https://github.com/HBAI-Ltd/Toonflow-app/stargazers">
<img src="https://img.shields.io/github/stars/HBAI-Ltd/Toonflow-app?style=for-the-badge&logo=github" alt="Stars Badge" />
</a>
<a href="https://www.apache.org/licenses/LICENSE-2.0" target="_blank">
<img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg?style=for-the-badge" alt="Apache-2.0 License Badge" />
</a>
<a href="https://github.com/HBAI-Ltd/Toonflow-app/releases">
<img alt="release" src="https://img.shields.io/github/v/release/HBAI-Ltd/Toonflow-app?style=for-the-badge" />
</a>
</p>
> 🚀 **一站式短劇生產**：從文本到人物、從分鏡到影片，零門檻全流程AI，10倍以上創作效率！
</div>
---
# 🌟 主要功能
Toonflow 是一款AI短劇漫畫工具，利用AI自動將小說轉換為劇本，並用AI生成圖片、視頻，助力高效短劇製作。有了Toonflow，您可輕鬆完成從文本到圖片的全流程操作，讓短劇製作更智能、更便捷。
- ✅ **人物生成**
自動解析原小說文本，智能識別並生成人物設定，包括外貌、性格、身份等，為後續劇本和視覺創作提供穩固基礎。
- ✅ **劇本生成**
根據所選事件和章節，系統自動生成結構化劇本，涵蓋對話、場景描述、劇情走向，實現文學文本向影視劇本高效轉化。
- ✅ **分鏡製作**
根據劇本內容，智能生成分鏡提示與視覺設計，細化前景/中景/背景、人物動態、道具設定與場景佈局，自動將劇本轉換為分鏡，為影片製作提供完整藍圖。
- ✅ **影片合成**
集成AI圖像與視頻技術，通過AI生成視頻片段，支持線上編輯與個性化輸出調整，讓影視製作協同高效。
---
# 📦 應用場景
- 短視頻內容創作
- 小說改編影視實驗
- AI文學改編工具
- 劇本開發與快速原型
- 影片素材生成
---
# 🔰 用戶指南
## 📺 視頻教程
https://www.bilibili.com/video/BV1na6wB6Ea2
[![Toonflow 8分鐘快速上手AI視頻](./videoCover.png)](https://www.bilibili.com/video/BV1na6wB6Ea2)
**Toonflow 8分鐘快速上手AI視頻**
👉 [點此觀看](https://www.bilibili.com/video/BV1na6wB6Ea2/?share_source=copy_web&vd_source=5b718c25439a901a34c7bc0c1d35b38e)
📱 用手機微信掃碼觀看
<img src="./videoQR.png" alt="Scan WeChat to Watch" width="150"/>
---
# 🚀 安裝方法
## 前置準備
安裝與使用前請準備以下內容：
- ✅ 大語言模型AI服務API地址
- ✅ Sora或豆包視頻服務API地址
- ✅ Nano Banana Pro圖像生成模型API
## 本地安裝
### 1. 下載安裝
| 作業系統 | GitHub下載 | Quark雲下載 | 備註 |
| :------------: | :------------------------------------------------------ | :---------------------------------------------- | :------------- |
| Windows | [釋出版](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark雲](https://pan.quark.cn/s/94ef07509df0) | 官方安裝包 |
| Linux | [釋出版](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark雲](https://pan.quark.cn/s/94ef07509df0) | 官方安裝包 |
| macOS | [釋出版](https://github.com/HBAI-Ltd/Toonflow-app/releases) | [Quark雲](https://pan.quark.cn/s/94ef07509df0) | 官方安裝包 |
> [!CAUTION]
> MacOS上需進入設定–隱私安全配置安全設定，否則可能因憑證問題無法打開應用。
>
> 參考知乎文檔：[https://www.zhihu.com/question/433389276](https://www.zhihu.com/question/433389276)
> 受Gitee作業系統環境與釋出檔案大小限制，目前Gitee釋出下載暫不開放。
### 2. 啟動服務
安裝完成後，啟動程式即可開始使用本服務。
> ⚠️ **首次登入**
> 用戶名：`admin`
> 密碼：`admin123`
## Docker部署
### 前置準備
- 已安裝 [Docker](https://docs.docker.com/get-docker/)（20.10+）
### 方法一：線上部署
待開發，現請使用本地構建。
### 方法二：本地構建
適用於開發者或已克隆源碼的用戶，需本地安裝Git：
```shell
# 克隆專案（已克隆則略過）
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
# 用docker-compose本地構建啟動
yarn docker:local
# 或手動構建
docker build -t toonflow .
docker run -d -p <local_port>:10588 -v <local_data_path>:/app/data toonflow
# 完成後可通過映射端口/web/index.html訪問
# 如 http://localhost:10588/web/index.html
```
### 服務端口說明
| 端口 | 用途 | 部署映射 |
| -------- |------------| -------------------- |
| `10588` | 應用介面 | `10588:10588` |
**環境變數說明：**
| 變數 | 說明 |
| -------------- | ------------------------------------------ |
| `NODE_ENV` | 環境，生產用`prod` |
| `PORT` | 服務監聽端口（預設10588） |
| `OSSURL` | 靜態檔案存取地址 |
---
## 雲端部署
### 1. 伺服器需求
- **作業系統：** Ubuntu 20.04+ / CentOS 7+
- **Node.js：** 24.x（推薦，最低23.11.1+）
- **記憶體：** 2GB+
### 2. 伺服器部署
#### 1. 安裝環境
```bash
# 安裝Node.js
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash
source ~/.bashrc
nvm install 24
# 安裝Yarn與PM2
npm install -g yarn pm2
```
#### 2. 專案部署
**GitHub克隆：**
```bash
cd /opt
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
yarn install
yarn build
```
**Gitee克隆（中國大陸推薦）：**
```bash
cd /opt
git clone https://gitee.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
yarn install
yarn build
```
#### 3. 配置PM2
新建`pm2.json`：
```json
{
"name": "toonflow-app",
"script": "data/serve/app.js",
"instances": "max",
"exec_mode": "cluster",
"env": {
"NODE_ENV": "prod",
"PORT": 10588,
"OSSURL": "http://127.0.0.1:10588/"
}
}
```
**環境變數說明：**
| 變數 | 說明 |
| -------------- | ------------------------------------------ |
| `NODE_ENV` | 環境，生產用`prod` |
| `PORT` | 服務監聽端口 |
| `OSSURL` | 靜態檔案存取地址 |
---
#### 4. 啟動服務
```bash
pm2 start pm2.json
pm2 startup
pm2 save
```
#### 5. 常用命令
```bash
pm2 list # 查看進程列表
pm2 logs toonflow-app # 查看日誌
pm2 restart all # 重啟服務
pm2 monit # 監控面板
```
> ⚠️ **首次登入**
> 用戶名：`admin`
> 密碼：`admin123`
#### 6. 前端網站部署
若需單獨部署前端或自定義，參見前端專案：
- **GitHub**: [Toonflow-web](https://github.com/HBAI-Ltd/Toonflow-web)
- **Gitee**: [Toonflow-web](https://gitee.com/HBAI-Ltd/Toonflow-web)
> 💡 **注意：** 本專案已預設內建前端，普通用戶無需單獨部署。前端源碼主要供開發者二次開發使用。
---
# 🔧 開發指南
> [!CAUTION]
> 🚧 **PR提交規範** 🚧
>
> ⛔ `master`分支不接受PR | ✅ 請提交至`develop`分支
>
> 歡迎開發者協同合作，共同開發Toonflow。欲加入請聯繫owner ACT入群。
## 🛠️ 技術棧
| 分類 | 技術 |
| ----------- | -------------------------------------------------------------------------------------- |
| 運行環境 | Node.js 23.11.1+ |
| 語言 | TypeScript 5.x |
| 後端 | Express 5 |
| 資料庫 | SQLite（better-sqlite3 / knex） |
| AI接入 | Vercel AI SDK（OpenAI / Anthropic / Google / DeepSeek / 智譜 / MiniMax / Qwen / xAI）|
| 本地推理 | @huggingface/transformers（ONNX） |
| 實時通信 | Socket.IO |
| 桌面端 | Electron 40 |
| 影像處理 | Sharp |
| 容器化 | Docker |
## 開發環境準備
- **Node.js**：需23.11.1以上版本
- **Yarn**：推薦作為包管理器
## 快速上手
1. **克隆專案**
**GitHub克隆：**
```bash
git clone https://github.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
```
**Gitee克隆（大陸推薦）：**
```bash
git clone https://gitee.com/HBAI-Ltd/Toonflow-app.git
cd Toonflow-app
```
2. **安裝依賴**
在專案根目錄執行：
```bash
yarn install
```
3. **啟動開發環境**
本專案包含 **後端API服務** 和 **前端介面**，按需啟動：
- **方案1：僅啟動後端服務**
```bash
yarn dev
```
> ⚠️ 此命令僅啟動後端API（10588端口），沒有Web介面。僅可存取API，完整UI需啟動前端專案或用下述GUI模式。
- **方案2：啟動Electron桌面客戶端**
```bash
yarn dev:gui
```
> 此命令即啟動後端又開Electron視窗，內建Web UI。開箱即用，體驗完整。
- **方案3：生產模式啟動**
```bash
yarn start
```
> 編譯後以生產模式運行（需先執行`yarn build`）。
4. **構建專案**
- 編譯TypeScript：
```bash
yarn build
```
- Windows可執行檔打包：
```bash
yarn dist:win
```
- Mac打包：
```bash
yarn dist:mac
```
- Linux打包：
```bash
yarn dist:linux
```
5. **代碼質量檢查**
- 執行Lint：
```bash
yarn lint
```
6. **AI調試面板（可選）**
啟動Vercel AI SDK可視化調試工具，便於AI對接調測：
```bash
yarn debug:ai
```
## 前端開發
需修改前端UI，請於專用前端專案開發：
- **GitHub**: [Toonflow-web](https://github.com/HBAI-Ltd/Toonflow-web)
- **Gitee**: [Toonflow-web](https://gitee.com/HBAI-Ltd/Toonflow-web)
前端打包後將`dist`內容複製至本專案`data/web`即可集成。
## 專案結構
```
📂 build/ # 編譯產物
📂 data/ # 運行時資料
│ ├─ 📂 models/ # 本地推理模型（ONNX）
│ ├─ 📂 oss/ # 物件儲存（素材/角色/場景）
│ ├─ 📂 serve/ # 生產模式入口
│ ├─ 📂 skills/ # Agent技能提示
│ └─ 📂 web/ # 前端資產
📂 ./ # 文檔資產
📂 env/ # 環境配置
📂 scripts/ # 構建與輔助腳本
📂 src/
├─ 📂 agents/ # AI Agent模組
│ ├─ 📂 productionAgent/ # 製作Agent
│ └─ 📂 scriptAgent/ # 劇本Agent
├─ 📂 lib/ # 通用庫（資料庫、響應）
├─ 📂 middleware/ # 中間件
├─ 📂 routes/ # API路由
│ ├─ 📂 agents/ # Agent記憶管理
│ ├─ 📂 artStyle/ # 美術風格管理
│ ├─ 📂 assets/ # 素材管理
│ ├─ 📂 assetsGenerate/ # 素材生成
│ ├─ 📂 cornerScape/ # 分鏡管理
│ ├─ 📂 general/ # 通用API
│ ├─ 📂 login/ # 認證
│ ├─ 📂 migrate/ # 資料遷移
│ ├─ 📂 modelSelect/ # 模型選擇
│ ├─ 📂 novel/ # 小說管理
│ ├─ 📂 other/ # 其他功能
│ ├─ 📂 production/ # 製作管理
│ ├─ 📂 project/ # 專案管理
│ ├─ 📂 script/ # 劇本生成
│ ├─ 📂 scriptAgent/ # 劇本Agent API
│ ├─ 📂 setting/ # 系統設定
│ ├─ 📂 task/ # 任務管理
│ └─ 📂 test/ # 測試API
├─ 📂 socket/ # WebSocket通訊
├─ 📂 types/ # TypeScript型別
├─ 📂 utils/ # 工具函式
├─ 📄 app.ts # 應用入口
├─ 📄 core.ts # 核心初始化
├─ 📄 env.ts # 環境變數
├─ 📄 err.ts # 錯誤處理
├─ 📄 logger.ts # 日誌模組
├─ 📄 router.ts # 路由註冊
└─ 📄 utils.ts # 通用工具
📄 Dockerfile # Docker構建
📄 electron-builder.yml # Electron打包配置
📄 skillList.json # 技能列表
📄 LICENSE # (Apache-2.0) 授權
📄 NOTICES.txt # 第三方依賴
📄 package.json # 專案配置
📄 tsconfig.json # TypeScript配置
```
---
# 🔗 相關倉庫
| 倉庫 | 說明 | GitHub | Gitee |
| -------------- | -------------------------- | ------------------------------------------------- | -------------------------------------------------- |
| **Toonflow-app** | 完整客戶端（本倉庫，供用戶） | [GitHub](https://github.com/HBAI-Ltd/Toonflow-app)| [Gitee](https://gitee.com/HBAI-Ltd/Toonflow-app) |
| **Toonflow-web** | 前端源碼（前端開發者用） | [GitHub](https://github.com/HBAI-Ltd/Toonflow-web)| [Gitee](https://gitee.com/HBAI-Ltd/Toonflow-web) |
> 💡 **提醒：** 若僅需使用Toonflow，直接下載本倉庫客戶端即可。前端源碼僅供需二次開發或UI自訂者使用。
---
# 👨‍👩‍👧‍👦 微信交流群
~~群1~~
~~群2~~
...
~~群10~~
~~群11~~
~~群12~~
~~群13~~
...
~~群24~~
群助手：
<img src="./QR.png" alt="Toonflow QR" height="400"/>
---
# 💌 聯繫我們
📧 郵箱：[ltlctools@outlook.com](mailto:ltlctools@outlook.com?subject=Toonflow inquiry)
---
# 📜 開源協議
Toonflow 基於 Apache-2.0 協議開源發布，並附有補充商業協議。
授權詳情：https://www.apache.org/licenses/LICENSE-2.0
## 補充協議
- 若將本軟體以產品形式分發給 **2 個及以上獨立第三方**使用，須取得 HBAI-Ltd **書面商業授權**。
- **≤ 5 個法人**聯合運營內部使用，不對外提供服務的，視為內部使用，**無需授權**。
- 不得刪除或修改 Toonflow 中的標識或版權資訊。
## 永久免費場景
- ✅ 用 Toonflow 製作內容並獲得平台分帳
- ✅ 二次開發供自己團隊內部使用
- ✅ ≤ 5 個法人聯合運營內部使用
- ✅ 個人學習、研究、非商業用途
## 商業授權定價
| 階段 | 年銷售額 | 年費 |
|------|---------|------|
| 🌱 扶持期 | < ¥10 萬 | **免費** |
| 🚀 初創期 | ¥10–50 萬 | ¥5,000/年 |
| 📈 成長期 | ¥50–150 萬 | ¥20,000/年 |
| 🏢 規模期 | ¥150–500 萬 | ¥80,000/年 |
| 🌐 企業級 | > ¥500 萬 | 面議 |
> **不追溯條款**：v1.0.8 發布前基於 AGPL-3.0 使用的用戶，繼續按 AGPL-3.0 執行，不受本協議變更約束。
完整協議詳見 [LICENSE](../LICENSE) 檔案。
---
# ⭐️ Star 歷史
[![Star History Chart](https://api.star-history.com/svg?repos=HBAI-Ltd/Toonflow-app&type=timeline&legend=top-left)](https://www.star-history.com/#HBAI-Ltd/Toonflow-app&type=timeline&legend=top-left)
---
# 🙏 感謝
感謝以下開源專案對Toonflow的支持：
- [Express](https://expressjs.com/) - 快速、開放、極簡的Node.js Web框架
- [AI SDK](https://ai-sdk.dev/) - TypeScript優先的AI工具包
- [Better-SQLite3](https://github.com/WiseLibs/better-sqlite3) - 高效能SQLite3綁定
- [Sharp](https://sharp.pixelplumbing.com/) - Node.js高性能影像工具
- [Axios](https://axios-http.com/) - Promise的HTTP用戶端
- [Zod](https://zod.dev/) - TypeScript優先的型別驗證庫
- [Socket.IO](https://socket.io/) - 實時雙向事件框架
- [Electron](https://www.electronjs.org/) - 跨平台桌面應用框架
- [Hugging Face Transformers](https://huggingface.co./transformers.js) - 本地ML推理庫
感謝以下組織/個人的支持：
<table>
<tr>
<td>
<img src="./sponsored/sophnet.png" alt="SophNet Logo" width="48">
</td>
<td>
<b>SophNet Cloud</b> 提供算力贊助
<a href="https://www.sophnet.com/">[官方網站]</a>
</td>
</tr>
</table>
完整第三方依賴列表請見 `NOTICES.txt`

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@ -3,6 +3,7 @@
"version": "1.0.8",
"description": "Toonflow 是一款 AI 短剧漫剧工具，能够利用 AI 技术将小说自动转化为剧本，并结合 AI 生成的图片和视频，实现高效的短剧创作。",
"author": "HBAI-Ltd <ltlctools@outlook.com>",
"license": "Apache-2.0",
"homepage": "https://github.com/HBAI-Ltd/Toonflow-app#readme",
"repository": {
"type": "git",
@ -21,6 +22,7 @@
"dev": "nodemon --inspect --exec tsx src/app.ts",
"dev:gui": "electronmon -r tsx scripts/main.ts",
"dev:gui-vite": "cross-env VITE_DEV=1 electronmon -r tsx scripts/main.ts",
"start": "cross-env NODE_ENV=prod node data/serve/app.js",
"lint": "tsc --noEmit",
"build": "cross-env NODE_ENV=prod tsx scripts/build.ts",
"pack": "electron-builder --dir",
@ -28,9 +30,6 @@
"dist:win": "yarn build && electron-builder --win",
"dist:mac": "yarn build && electron-builder --mac",
"dist:linux": "yarn build && electron-builder --linux",
"test": "cross-env NODE_ENV=prod node data/serve/app.js",
"docker:build": "docker-compose -f docker/docker-compose.yml up -d --build",
"docker:local": "docker-compose -f docker/docker-compose.local.yml up -d --build",
"debug:ai": "npx @ai-sdk/devtools",
"license": "bun run scripts/license.ts"
},

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83
scripts/main.ts
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@ -3,20 +3,66 @@ import path from "path";
import fs from "fs";
import Module from "module";
// 加速 Electron 启动：跳过 GPU 信息收集，减少初始化耗时
app.commandLine.appendSwitch("disable-gpu-shader-disk-cache");
app.commandLine.appendSwitch("disable-features", "CalculateNativeWinOcclusion");
declare const __APP_VERSION__: string | undefined;
/**
* 将 extraResources 中的 data 目录复制到用户数据目录（跳过已存在的文件，保留用户修改）
*/
function getVersionFromFile(filePath: string): string | null {
try {
if (fs.existsSync(filePath)) {
return fs.readFileSync(filePath, "utf8").trim();
}
} catch {}
return null;
}
function writeVersionToFile(filePath: string, version: string): void {
fs.writeFileSync(filePath, version, { encoding: "utf8" });
}
function copyDirForce(src: string, dest: string): void {
if (!fs.existsSync(src)) return;
if (fs.existsSync(dest)) {
fs.rmSync(dest, { recursive: true, force: true });
}
copyDirRecursive(src, dest);
}
function initializeData(): void {
const srcDir = path.join(process.resourcesPath, "data");
const destDir = path.join(app.getPath("userData"), "data");
if (fs.existsSync(destDir)) return;
const versionFile = path.join(destDir, "version.txt");
const currentVersion = typeof __APP_VERSION__ !== "undefined" ? __APP_VERSION__ : "0.0.0";
const userVersion = getVersionFromFile(versionFile);
// 首次安装或无version.txt，直接全量拷贝
if (!fs.existsSync(destDir) || !userVersion) {
copyDirRecursive(srcDir, destDir);
writeVersionToFile(versionFile, currentVersion);
return;
}
// 版本号不同则覆盖 serve 和 web 目录
if (userVersion !== currentVersion) {
copyDirForce(path.join(srcDir, "serve"), path.join(destDir, "serve"));
copyDirForce(path.join(srcDir, "web"), path.join(destDir, "web"));
writeVersionToFile(versionFile, currentVersion);
}
}
function copyDirRecursive(src: string, dest: string): void {
if (!fs.existsSync(src)) return;
if (!fs.existsSync(dest)) fs.mkdirSync(dest, { recursive: true });
for (const entry of fs.readdirSync(src, { withFileTypes: true })) {
// 跳过 oss 文件夹和 db2.sqlite 文件
if (entry.isDirectory() && entry.name === "oss") continue;
if (!entry.isDirectory() && entry.name === "db2.sqlite") continue;
const srcPath = path.join(src, entry.name);
const destPath = path.join(dest, entry.name);
if (entry.isDirectory()) {
@ -109,7 +155,9 @@ function showLoading(): void {
});
loadingWindow.setMenuBarVisibility(false);
loadingWindow.removeMenu();
loadingWindow.on("closed", () => { loadingWindow = null; });
loadingWindow.on("closed", () => {
loadingWindow = null;
});
void loadingWindow.loadURL(loadingHtml);
}
@ -120,14 +168,15 @@ function closeLoading(): void {
}
}
function createMainWindow(): void {
function createMainWindow(): Promise<void> {
return new Promise((resolve) => {
const win = new BrowserWindow({
width: 1000,
height: 700,
minWidth: 800,
minHeight: 500,
frame: false,
show: true,
show: false,
autoHideMenuBar: true,
resizable: true,
thickFrame: true,
@ -140,13 +189,22 @@ function createMainWindow(): void {
mainWindow = null;
});
win.once("ready-to-show", () => {
closeLoading();
win.show();
resolve();
});
const isDev = process.env.NODE_ENV === "dev" || !app.isPackaged;
if (process.env.VITE_DEV) {
void win.loadURL("http://localhost:50188");
} else {
const htmlPath = isDev ? path.join(process.cwd(), "data", "web", "index.html") : path.join(app.getPath("userData"), "data", "web", "index.html");
const htmlPath = isDev
? path.join(process.cwd(), "data", "web", "index.html")
: path.join(app.getPath("userData"), "data", "web", "index.html");
void win.loadFile(htmlPath);
}
});
}
let closeServeFn: (() => Promise<void>) | undefined;
@ -163,13 +221,14 @@ protocol.registerSchemesAsPrivileged([
]);
app.whenReady().then(async () => {
// 先显示加载窗口
// 立即显示加载窗口（data URL + backgroundColor，瞬间可见）
showLoading();
try {
let servePath: string;
if (app.isPackaged) {
// 生产环境：从 extraResources 初始化数据到用户目录，然后从用户目录加载后端服务
// 生产环境：让出主线程一次，确保 loading 窗口渲染后再做耗时文件拷贝
await new Promise((r) => setTimeout(r, 0));
initializeData();
servePath = path.join(app.getPath("userData"), "data", "serve", "app.js");
} else {
@ -228,7 +287,7 @@ app.whenReady().then(async () => {
} else {
return { ok: false, error: "缺少url参数" };
}
}
},
};
const handler = handlers[pathname];
const responseData = handler ? handler() : { error: "未知接口" };
@ -240,13 +299,11 @@ app.whenReady().then(async () => {
});
});
// 服务启动成功，关闭加载窗口，创建主窗口
closeLoading();
createMainWindow();
// 服务启动成功，创建主窗口（主窗口 ready-to-show 时自动关闭loading）
await createMainWindow();
} catch (err) {
console.error("[服务启动失败]:", err);
closeLoading();
createMainWindow();
await createMainWindow();
}
});

14
src/app.ts
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@ -29,16 +29,24 @@ export default async function startServe(randomPort: Boolean = false) {
app.use(express.json({ limit: "100mb" }));
app.use(express.urlencoded({ extended: true, limit: "100mb" }));
const rootDir = u.getPath("oss");
// 确保 uploads 目录存在
// oss 静态资源
const rootDir = u.getPath("oss");
if (!fs.existsSync(rootDir)) {
fs.mkdirSync(rootDir, { recursive: true });
}
console.log("文件目录:", rootDir);
app.use(express.static(rootDir));
// data/web 静态网站
const webDir = u.getPath("web");
if (fs.existsSync(webDir)) {
console.log("静态网站目录:", webDir);
app.use(express.static(webDir));
} else {
console.warn("静态网站目录不存在:", webDir);
}
app.use(async (req, res, next) => {
const setting = await u.db("o_setting").where("key", "tokenKey").select("value").first();
if (!setting) return res.status(444).send({ message: "服务器秘钥未配置，请联系管理员" });

262
src/router.ts
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@ -1,4 +1,4 @@
// @routes-hash fc02af7340ae26f567792eda4cde50a6
// @routes-hash 01a3e214a845cf74065af521bc0794cc
import { Express } from "express";
import route1 from "./routes/agents/clearMemory";
@ -57,69 +57,73 @@ import route53 from "./routes/production/getFlowData";
import route54 from "./routes/production/getProductionData";
import route55 from "./routes/production/getStoryboardData";
import route56 from "./routes/production/saveFlowData";
import route57 from "./routes/production/storyboard/batchGenerateImage";
import route58 from "./routes/production/storyboard/downPreviewImage";
import route59 from "./routes/production/storyboard/getStoryboardData";
import route60 from "./routes/production/storyboard/pollingImage";
import route61 from "./routes/production/storyboard/previewImage";
import route62 from "./routes/production/workbench/confirmSelection";
import route63 from "./routes/production/workbench/delVideo";
import route64 from "./routes/production/workbench/generateVideo";
import route65 from "./routes/production/workbench/generateVideoPrompt";
import route66 from "./routes/production/workbench/getChatLines";
import route67 from "./routes/production/workbench/getVideoModelDetail";
import route68 from "./routes/production/workbench/videoPolling";
import route69 from "./routes/project/addProject";
import route70 from "./routes/project/addVisual";
import route71 from "./routes/project/addVisualManual";
import route72 from "./routes/project/deleteVisualManual";
import route73 from "./routes/project/delProject";
import route74 from "./routes/project/editProject";
import route75 from "./routes/project/editVisualManual";
import route76 from "./routes/project/getProject";
import route77 from "./routes/project/getVisualManual";
import route78 from "./routes/project/visualManual";
import route79 from "./routes/script/addScript";
import route80 from "./routes/script/delScript";
import route81 from "./routes/script/exportScript";
import route82 from "./routes/script/extractAssets";
import route83 from "./routes/script/getScrptApi";
import route84 from "./routes/script/pollScriptAssets";
import route85 from "./routes/script/updateScript";
import route86 from "./routes/scriptAgent/getPlanData";
import route87 from "./routes/scriptAgent/setPlanData";
import route88 from "./routes/scriptAgent/updateData";
import route89 from "./routes/setting/about/checkUpdate";
import route90 from "./routes/setting/about/downloadApp";
import route91 from "./routes/setting/agentDeploy/agentSetKey";
import route92 from "./routes/setting/agentDeploy/deployAgentModel";
import route93 from "./routes/setting/agentDeploy/getAgentDeploy";
import route94 from "./routes/setting/dbConfig/clearData";
import route95 from "./routes/setting/dev/getSwitchAiDevTool";
import route96 from "./routes/setting/dev/updateSwitchAiDevTool";
import route97 from "./routes/setting/fileManagement/openFolder";
import route98 from "./routes/setting/getTextModel";
import route99 from "./routes/setting/loginConfig/getUser";
import route100 from "./routes/setting/loginConfig/updateUserPwd";
import route101 from "./routes/setting/memoryConfig/delAllMemory";
import route102 from "./routes/setting/memoryConfig/getMemory";
import route103 from "./routes/setting/memoryConfig/sureMemory";
import route104 from "./routes/setting/promptManage/getPrompt";
import route105 from "./routes/setting/promptManage/updatePrompt";
import route106 from "./routes/setting/skillManagement/getSkillContent";
import route107 from "./routes/setting/skillManagement/getSkillList";
import route108 from "./routes/setting/skillManagement/saveSkillContent";
import route109 from "./routes/setting/vendorConfig/addVendor";
import route110 from "./routes/setting/vendorConfig/deleteVendor";
import route111 from "./routes/setting/vendorConfig/getVendorList";
import route112 from "./routes/setting/vendorConfig/modelTest";
import route113 from "./routes/setting/vendorConfig/updateCode";
import route114 from "./routes/setting/vendorConfig/updateVendor";
import route115 from "./routes/task/getProject";
import route116 from "./routes/task/getTaskApi";
import route117 from "./routes/task/getTaskCategories";
import route118 from "./routes/task/taskDetails";
import route119 from "./routes/test/test";
import route57 from "./routes/production/storyboard/batchAddStoryboardInfo";
import route58 from "./routes/production/storyboard/batchGenerateImage";
import route59 from "./routes/production/storyboard/downPreviewImage";
import route60 from "./routes/production/storyboard/editStoryboardInfo";
import route61 from "./routes/production/storyboard/getStoryboardData";
import route62 from "./routes/production/storyboard/pollingImage";
import route63 from "./routes/production/storyboard/previewImage";
import route64 from "./routes/production/storyboard/removeFrame";
import route65 from "./routes/production/storyboard/updateStoryboardInfo";
import route66 from "./routes/production/workbench/confirmSelection";
import route67 from "./routes/production/workbench/delVideo";
import route68 from "./routes/production/workbench/generateVideo";
import route69 from "./routes/production/workbench/generateVideoPrompt";
import route70 from "./routes/production/workbench/getChatLines";
import route71 from "./routes/production/workbench/getVideoModelDetail";
import route72 from "./routes/production/workbench/videoPolling";
import route73 from "./routes/project/addProject";
import route74 from "./routes/project/addVisual";
import route75 from "./routes/project/addVisualManual";
import route76 from "./routes/project/deleteVisualManual";
import route77 from "./routes/project/delProject";
import route78 from "./routes/project/editProject";
import route79 from "./routes/project/editVisualManual";
import route80 from "./routes/project/getProject";
import route81 from "./routes/project/getVisualManual";
import route82 from "./routes/project/visualManual";
import route83 from "./routes/script/addScript";
import route84 from "./routes/script/delScript";
import route85 from "./routes/script/exportScript";
import route86 from "./routes/script/extractAssets";
import route87 from "./routes/script/getScrptApi";
import route88 from "./routes/script/pollScriptAssets";
import route89 from "./routes/script/updateScript";
import route90 from "./routes/scriptAgent/getPlanData";
import route91 from "./routes/scriptAgent/setPlanData";
import route92 from "./routes/scriptAgent/updateData";
import route93 from "./routes/setting/about/checkUpdate";
import route94 from "./routes/setting/about/downloadApp";
import route95 from "./routes/setting/agentDeploy/agentSetKey";
import route96 from "./routes/setting/agentDeploy/deployAgentModel";
import route97 from "./routes/setting/agentDeploy/getAgentDeploy";
import route98 from "./routes/setting/dbConfig/clearData";
import route99 from "./routes/setting/dev/getSwitchAiDevTool";
import route100 from "./routes/setting/dev/updateSwitchAiDevTool";
import route101 from "./routes/setting/fileManagement/openFolder";
import route102 from "./routes/setting/getTextModel";
import route103 from "./routes/setting/loginConfig/getUser";
import route104 from "./routes/setting/loginConfig/updateUserPwd";
import route105 from "./routes/setting/memoryConfig/delAllMemory";
import route106 from "./routes/setting/memoryConfig/getMemory";
import route107 from "./routes/setting/memoryConfig/sureMemory";
import route108 from "./routes/setting/promptManage/getPrompt";
import route109 from "./routes/setting/promptManage/updatePrompt";
import route110 from "./routes/setting/skillManagement/getSkillContent";
import route111 from "./routes/setting/skillManagement/getSkillList";
import route112 from "./routes/setting/skillManagement/saveSkillContent";
import route113 from "./routes/setting/vendorConfig/addVendor";
import route114 from "./routes/setting/vendorConfig/deleteVendor";
import route115 from "./routes/setting/vendorConfig/getVendorList";
import route116 from "./routes/setting/vendorConfig/modelTest";
import route117 from "./routes/setting/vendorConfig/updateCode";
import route118 from "./routes/setting/vendorConfig/updateVendor";
import route119 from "./routes/task/getProject";
import route120 from "./routes/task/getTaskApi";
import route121 from "./routes/task/getTaskCategories";
import route122 from "./routes/task/taskDetails";
import route123 from "./routes/test/test";
export default async (app: Express) => {
app.use("/api/agents/clearMemory", route1);
@ -178,67 +182,71 @@ export default async (app: Express) => {
app.use("/api/production/getProductionData", route54);
app.use("/api/production/getStoryboardData", route55);
app.use("/api/production/saveFlowData", route56);
app.use("/api/production/storyboard/batchGenerateImage", route57);
app.use("/api/production/storyboard/downPreviewImage", route58);
app.use("/api/production/storyboard/getStoryboardData", route59);
app.use("/api/production/storyboard/pollingImage", route60);
app.use("/api/production/storyboard/previewImage", route61);
app.use("/api/production/workbench/confirmSelection", route62);
app.use("/api/production/workbench/delVideo", route63);
app.use("/api/production/workbench/generateVideo", route64);
app.use("/api/production/workbench/generateVideoPrompt", route65);
app.use("/api/production/workbench/getChatLines", route66);
app.use("/api/production/workbench/getVideoModelDetail", route67);
app.use("/api/production/workbench/videoPolling", route68);
app.use("/api/project/addProject", route69);
app.use("/api/project/addVisual", route70);
app.use("/api/project/addVisualManual", route71);
app.use("/api/project/deleteVisualManual", route72);
app.use("/api/project/delProject", route73);
app.use("/api/project/editProject", route74);
app.use("/api/project/editVisualManual", route75);
app.use("/api/project/getProject", route76);
app.use("/api/project/getVisualManual", route77);
app.use("/api/project/visualManual", route78);
app.use("/api/script/addScript", route79);
app.use("/api/script/delScript", route80);
app.use("/api/script/exportScript", route81);
app.use("/api/script/extractAssets", route82);
app.use("/api/script/getScrptApi", route83);
app.use("/api/script/pollScriptAssets", route84);
app.use("/api/script/updateScript", route85);
app.use("/api/scriptAgent/getPlanData", route86);
app.use("/api/scriptAgent/setPlanData", route87);
app.use("/api/scriptAgent/updateData", route88);
app.use("/api/setting/about/checkUpdate", route89);
app.use("/api/setting/about/downloadApp", route90);
app.use("/api/setting/agentDeploy/agentSetKey", route91);
app.use("/api/setting/agentDeploy/deployAgentModel", route92);
app.use("/api/setting/agentDeploy/getAgentDeploy", route93);
app.use("/api/setting/dbConfig/clearData", route94);
app.use("/api/setting/dev/getSwitchAiDevTool", route95);
app.use("/api/setting/dev/updateSwitchAiDevTool", route96);
app.use("/api/setting/fileManagement/openFolder", route97);
app.use("/api/setting/getTextModel", route98);
app.use("/api/setting/loginConfig/getUser", route99);
app.use("/api/setting/loginConfig/updateUserPwd", route100);
app.use("/api/setting/memoryConfig/delAllMemory", route101);
app.use("/api/setting/memoryConfig/getMemory", route102);
app.use("/api/setting/memoryConfig/sureMemory", route103);
app.use("/api/setting/promptManage/getPrompt", route104);
app.use("/api/setting/promptManage/updatePrompt", route105);
app.use("/api/setting/skillManagement/getSkillContent", route106);
app.use("/api/setting/skillManagement/getSkillList", route107);
app.use("/api/setting/skillManagement/saveSkillContent", route108);
app.use("/api/setting/vendorConfig/addVendor", route109);
app.use("/api/setting/vendorConfig/deleteVendor", route110);
app.use("/api/setting/vendorConfig/getVendorList", route111);
app.use("/api/setting/vendorConfig/modelTest", route112);
app.use("/api/setting/vendorConfig/updateCode", route113);
app.use("/api/setting/vendorConfig/updateVendor", route114);
app.use("/api/task/getProject", route115);
app.use("/api/task/getTaskApi", route116);
app.use("/api/task/getTaskCategories", route117);
app.use("/api/task/taskDetails", route118);
app.use("/api/test/test", route119);
app.use("/api/production/storyboard/batchAddStoryboardInfo", route57);
app.use("/api/production/storyboard/batchGenerateImage", route58);
app.use("/api/production/storyboard/downPreviewImage", route59);
app.use("/api/production/storyboard/editStoryboardInfo", route60);
app.use("/api/production/storyboard/getStoryboardData", route61);
app.use("/api/production/storyboard/pollingImage", route62);
app.use("/api/production/storyboard/previewImage", route63);
app.use("/api/production/storyboard/removeFrame", route64);
app.use("/api/production/storyboard/updateStoryboardInfo", route65);
app.use("/api/production/workbench/confirmSelection", route66);
app.use("/api/production/workbench/delVideo", route67);
app.use("/api/production/workbench/generateVideo", route68);
app.use("/api/production/workbench/generateVideoPrompt", route69);
app.use("/api/production/workbench/getChatLines", route70);
app.use("/api/production/workbench/getVideoModelDetail", route71);
app.use("/api/production/workbench/videoPolling", route72);
app.use("/api/project/addProject", route73);
app.use("/api/project/addVisual", route74);
app.use("/api/project/addVisualManual", route75);
app.use("/api/project/deleteVisualManual", route76);
app.use("/api/project/delProject", route77);
app.use("/api/project/editProject", route78);
app.use("/api/project/editVisualManual", route79);
app.use("/api/project/getProject", route80);
app.use("/api/project/getVisualManual", route81);
app.use("/api/project/visualManual", route82);
app.use("/api/script/addScript", route83);
app.use("/api/script/delScript", route84);
app.use("/api/script/exportScript", route85);
app.use("/api/script/extractAssets", route86);
app.use("/api/script/getScrptApi", route87);
app.use("/api/script/pollScriptAssets", route88);
app.use("/api/script/updateScript", route89);
app.use("/api/scriptAgent/getPlanData", route90);
app.use("/api/scriptAgent/setPlanData", route91);
app.use("/api/scriptAgent/updateData", route92);
app.use("/api/setting/about/checkUpdate", route93);
app.use("/api/setting/about/downloadApp", route94);
app.use("/api/setting/agentDeploy/agentSetKey", route95);
app.use("/api/setting/agentDeploy/deployAgentModel", route96);
app.use("/api/setting/agentDeploy/getAgentDeploy", route97);
app.use("/api/setting/dbConfig/clearData", route98);
app.use("/api/setting/dev/getSwitchAiDevTool", route99);
app.use("/api/setting/dev/updateSwitchAiDevTool", route100);
app.use("/api/setting/fileManagement/openFolder", route101);
app.use("/api/setting/getTextModel", route102);
app.use("/api/setting/loginConfig/getUser", route103);
app.use("/api/setting/loginConfig/updateUserPwd", route104);
app.use("/api/setting/memoryConfig/delAllMemory", route105);
app.use("/api/setting/memoryConfig/getMemory", route106);
app.use("/api/setting/memoryConfig/sureMemory", route107);
app.use("/api/setting/promptManage/getPrompt", route108);
app.use("/api/setting/promptManage/updatePrompt", route109);
app.use("/api/setting/skillManagement/getSkillContent", route110);
app.use("/api/setting/skillManagement/getSkillList", route111);
app.use("/api/setting/skillManagement/saveSkillContent", route112);
app.use("/api/setting/vendorConfig/addVendor", route113);
app.use("/api/setting/vendorConfig/deleteVendor", route114);
app.use("/api/setting/vendorConfig/getVendorList", route115);
app.use("/api/setting/vendorConfig/modelTest", route116);
app.use("/api/setting/vendorConfig/updateCode", route117);
app.use("/api/setting/vendorConfig/updateVendor", route118);
app.use("/api/task/getProject", route119);
app.use("/api/task/getTaskApi", route120);
app.use("/api/task/getTaskCategories", route121);
app.use("/api/task/taskDetails", route122);
app.use("/api/test/test", route123);
}

2
src/routes/cornerScape/getAllAssets.ts
View File

@ -21,7 +21,7 @@ export default router.post(
.andWhere("o_assets.type", "<>", "clip")
.modify((qb) => {
if (type && type.length > 0) qb.whereIn("o_assets.type", type);
});
}).orderByRaw(`CASE o_assets.type WHEN 'role' THEN 1 WHEN 'scene' THEN 2 WHEN 'tool' THEN 3 ELSE 4 END`);
const result = await Promise.all(
data.map(async (parent: any) => {
const historyImages = await u.db("o_image").where("assetsId", parent.id).andWhere("state", "已完成").select("id", "filePath");

28
src/routes/production/assets/batchGenerateAssetsImage.ts
View File

@ -51,12 +51,14 @@ export default router.post(
tool: {
prompt: toolPrompt,
label: "道具衍生资产",
focus: "注重道具的材质质感、光影效果、结构细节与功能特征，保持与原始道具设计的一致性（如形状、配色、标志性元素），清晰展示道具在不同状态或角度下的视觉表现。",
focus:
"注重道具的材质质感、光影效果、结构细节与功能特征，保持与原始道具设计的一致性（如形状、配色、标志性元素），清晰展示道具在不同状态或角度下的视觉表现。",
},
scene: {
prompt: scenePrompt,
label: "场景衍生资产",
focus: "注重场景的空间层次、光影氛围、环境细节与情绪渲染，保持与原始场景设计的一致性（如建筑风格、色调、标志性地标），体现不同时间段或天气条件下的视觉变化。",
focus:
"注重场景的空间层次、光影氛围、环境细节与情绪渲染，保持与原始场景设计的一致性（如建筑风格、色调、标志性地标），体现不同时间段或天气条件下的视觉变化。",
},
};
const imageData = [];
@ -72,7 +74,6 @@ export default router.post(
## 输出要求
- 直接输出最终提示词，不要包含任何解释、标题或标记
- 提示词应为具体的视觉描述，包含主体、构图、光影、色调、氛围等要素
- ${typeConfig.focus}
${hasRefImage ? "- 当前资产有参考图作为风格锚点，提示词应侧重描述衍生变化部分，避免重复参考图已有的基础特征" : "- 当前资产无参考图，提示词需要完整描述视觉特征"}
@ -86,11 +87,6 @@ ${typeConfig.prompt || "（未指定特定美术风格，请根据资产描述
],
});
const repeloadObj = {
prompt: text,
size: projectSettingData?.imageQuality as "1K" | "2K" | "4K",
aspectRatio: "16:9",
};
const [imageId] = await u.db("o_image").insert({
assetsId: item.id,
type: item.type,
@ -100,16 +96,23 @@ ${typeConfig.prompt || "（未指定特定美术风格，请根据资产描述
});
const imageBase64 = imageUrlRecord[item.assetsId!] ? await urlToBase64(imageUrlRecord[item.assetsId!]) : null;
try {
const imageCls = await u.Ai.Image(projectSettingData?.imageModel as `${string}:${string}`).run({
const repeloadObj = {
prompt: text,
imageBase64: imageBase64 ? [imageBase64] : [],
size: projectSettingData?.imageQuality as "1K" | "2K" | "4K",
aspectRatio: "16:9",
aspectRatio: "16:9" as `${number}:${number}`,
};
const imageCls = await u.Ai.Image(projectSettingData?.imageModel as `${string}:${string}`).run(
{
imageBase64: imageBase64 ? [imageBase64] : [],
...repeloadObj,
},
{
taskClass: "生成图片",
describe: "资产图片生成",
relatedObjects: JSON.stringify(repeloadObj),
projectId: projectId,
});
},
);
const savePath = `/${projectId}/assets/${scriptId}/${u.uuid()}.jpg`;
await imageCls.save(savePath);
// 更新对应数据库
@ -121,7 +124,6 @@ ${typeConfig.prompt || "（未指定特定美术风格，请根据资产描述
src: await u.oss.getFileUrl(savePath),
});
} catch (e) {
console.log("%c Line:95 🥛 e", "background:#fca650", e);
await u
.db("o_image")
.where({ id: imageId })

22
src/routes/production/saveFlowData.ts
View File

@ -24,17 +24,17 @@ export default router.post(
episodesId: number;
} = req.body;
const sqlData = await u.db("o_agentWorkData").where("projectId", String(projectId)).andWhere("episodesId", String(episodesId)).first();
if (data.storyboard && data.storyboard.length)
await Promise.all(
data.storyboard.map(async (i, index) => {
await u
.db("o_storyboard")
.where("id", i.id)
.update({
index: index + 1,
});
}),
);
// if (data.storyboard && data.storyboard.length)
// await Promise.all(
// data.storyboard.map(async (i, index) => {
// await u
// .db("o_storyboard")
// .where("id", i.id)
// .update({
// index: index + 1,
// });
// }),
// );
if (!sqlData) {
await u.db("o_agentWorkData").insert({
projectId,

31
src/routes/production/storyboard/batchAddStoryboardInfo.ts Normal file
View File

@ -0,0 +1,31 @@
import express from "express";
import u from "@/utils";
import { z } from "zod";
import { success } from "@/lib/responseFormat";
import { validateFields } from "@/middleware/middleware";
const router = express.Router();
export default router.post(
"/",
validateFields({
data: z.array(
z.object({
prompt: z.string(),
}),
),
scriptId: z.number(),
}),
async (req, res) => {
const { data, scriptId } = req.body;
if (!data.length) return res.status(400).send({ success: false, message: "数据不能为空" });
await u.db("o_storyboard").insert(
data.map((i: { prompt: string }) => ({
...i,
scriptId,
createTime: Date.now(),
state: "未生成",
})),
);
return res.status(200).send(success());
},
);

18
src/routes/production/storyboard/batchGenerateImage.ts
View File

@ -169,23 +169,25 @@ ${sceneArkPrompt || "（未指定特定美术风格，请根据分镜内容选
const repeloadObj = {
prompt: text,
size: projectSettingData?.imageQuality as "1K" | "2K" | "4K",
aspectRatio: "16:9",
aspectRatio: "16:9" as `${number}:${number}`,
};
await u.db("o_storyboard").where("id", item.id).update({
prompt: text,
state: "生成中",
});
u.Ai.Image(projectSettingData?.imageModel as `${string}:${string}`)
.run({
prompt: text,
.run(
{
imageBase64: await getAssetsImageBase64(assetRecord[item.id!] || []),
size: projectSettingData?.imageQuality as "1K" | "2K" | "4K",
aspectRatio: "16:9",
taskClass: "生成图片",
describe: "资产图片生成",
...repeloadObj,
},
{
taskClass: "生成分镜图片",
describe: "分镜图片生成",
relatedObjects: JSON.stringify(repeloadObj),
projectId: projectId,
})
},
)
.then(async (imageCls) => {
const savePath = `/${projectId}/assets/${scriptId}/${u.uuid()}.jpg`;
await imageCls.save(savePath);

22
src/routes/production/storyboard/editStoryboardInfo.ts Normal file
View File

@ -0,0 +1,22 @@
import express from "express";
import u from "@/utils";
import { z } from "zod";
import { success } from "@/lib/responseFormat";
import { validateFields } from "@/middleware/middleware";
import { id } from "zod/locales";
const router = express.Router();
export default router.post(
"/",
validateFields({
id: z.number(),
prompt: z.string(),
}),
async (req, res) => {
const { id, prompt } = req.body;
await u.db("o_storyboard").where({ id }).update({
prompt,
});
res.status(200).send(success({ message: "更新提示词成功" }));
},
);

19
src/routes/production/storyboard/removeFrame.ts Normal file
View File

@ -0,0 +1,19 @@
import express from "express";
import u from "@/utils";
import { z } from "zod";
import { success } from "@/lib/responseFormat";
import { validateFields } from "@/middleware/middleware";
const router = express.Router();
export default router.post(
"/",
validateFields({
id: z.number(),
}),
async (req, res) => {
const { id } = req.body;
await u.db("o_storyboard").where("id", id).delete();
await u.db("o_assets2Storyboard").where("storyboardId", id).delete();
res.status(200).send(success({ message: "视频删除成功" }));
},
);

22
src/routes/production/storyboard/updateStoryboardInfo.ts Normal file
View File

@ -0,0 +1,22 @@
import express from "express";
import u from "@/utils";
import { z } from "zod";
import { success } from "@/lib/responseFormat";
import { validateFields } from "@/middleware/middleware";
import { id } from "zod/locales";
const router = express.Router();
export default router.post(
"/",
validateFields({
id: z.number(),
prompt: z.string(),
}),
async (req, res) => {
const { id, prompt } = req.body;
await u.db("o_storyboard").where({ id }).update({
prompt,
});
res.status(200).send(success({ message: "更新提示词成功" }));
},
);

4
src/types/database.d.ts vendored
View File

@ -1,4 +1,4 @@
// @db-hash 6be0a80e9c8f541987a4c1e907736237
// @db-hash 93b2462070c45c2b449e9a18c4e88763
//该文件由脚本自动生成，请勿手动修改
export interface memories {
@ -178,7 +178,6 @@ export interface o_storyboard {
'sound'?: string | null;
'state'?: string | null;
'title'?: string | null;
'videoPrompt'?: string | null;
}
export interface o_tasks {
'describe'?: string | null;
@ -212,7 +211,6 @@ export interface o_video {
'errorReason'?: string | null;
'filePath'?: string | null;
'id'?: number;
'projectId'?: number | null;
'scriptId'?: number | null;
'state'?: string | null;
'storyboardId'?: number | null;