RongGuang: Agent-Based End-to-End AI Video Creation Platform
RongGuang: Agent-Based End-to-End AI Video Creation PlatformIntroduction
What is Rongguang
Rongguang is an open-source, Agent-architecture-based end-to-end AI short-drama creation tool that automates everything from scriptwriting to video generation. It is mainly aimed at content creators: it can automatically break down an input text script into structured storyboards, then call multiple mainstream AI models to generate illustrations and video clips.

Core Features
Script Management: Supports creating and editing video scripts, with structured organization by episode and scene.
AI Storyboard Generation: Automatically breaks scripts down into visual storyboards, including visual descriptions and camera language information.
AI Illustration: Integrates multiple AI illustration engines, enabling one-click generation of storyboard reference images.
AI Video Generation: Generates corresponding video clips based on storyboard descriptions and reference images.
Asset Management: Unified management of images, videos, and other assets within a project.
Multi-Model Support: Integrates mainstream large models such as OpenAI, Claude, Gemini, Tongyi Qianwen, DeepSeek, Ollama, etc.
Visualized Agent Workflow: Pipeline nodes are displayed visually, making the creation process transparent and controllable.
Technical Architecture
Backend: Java 21 + Spring Boot 3.5 + Spring AI
Frontend: Next.js 16 + React 19 + TypeScript
Database: MySQL + Redis
Storage: Supports local storage as well as S3-compatible storage such as Alibaba Cloud OSS, Tencent COS, MinIO, etc.
Installation & Usage
Deployment Methods
One-Click Docker Deployment:
Install the Docker environment
Clone the project repository: git clone https://github.com/Stonewuu/ai-fusion-video.git
Run in the project root directory: docker compose up -d
Local Development from Source:
Prepare the environment: JDK 21+, Node.js 20+, pnpm 9+, MySQL, Redis
Start middleware such as MySQL and Redis first
Start the backend and frontend services separately
Usage Flow
Create a new project and paste the script or copy
Click "AI Smart Breakdown" and the Agent will automatically split the text into structured storyboards
Fine-tune prompts and camera-movement parameters in the storyboard editor
Execute the workflow; the Agent will automatically schedule: generate reference images → select and lock → generate video clips
The system automatically stitches all clips together and exports the final cut
Applicable Scenarios
Short Video Creation: Batch production for self-media
Advertising & Marketing: Rapid iteration of multi-version ad storyboards
Education & Training: Automatic breakdown of teaching outlines into visualized course segments
Film & TV Pre-visualization: Independent filmmakers quickly generate storyboards and dynamic previews
Animation Prototyping: Validate narrative pacing and visual style
Rongguang Advantages
End-to-End Automation: Covers the complete workflow from script to final cut, reducing manual intervention
Multi-Model Compatibility: Not tied to a single AI provider; supports flexible switching between mainstream large models
Open Source & Customizable: Supports private deployment and deep feature extensions
Storyboard-Driven Generation: Uses storyboards as the middle layer to ensure video content aligns with script intent
Comparison with Huobao Short Drama
| Comparison Dimension | Rongguang | Huobao Short Drama |
|---|---|---|
| Product Positioning | Open-source end-to-end AI video creation platform | AI-driven automated short-drama production platform |
| Open-Source License | MIT License (free for commercial use) | CC BY-NC-SA 4.0 (commercial use restricted) |
| Technical Architecture | Java (Spring Boot) + Node.js | Go + Vue3 |
| Core Strengths | Multi-model compatibility, storyboard-driven, visualized workflow | Character consistency management, highly automated script-to-video pipeline |
| Database | MySQL | SQLite (default) |
Github:https://github.com/Stonewuu/ai-fusion-video
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