RongGuang: Agent-Based End-to-End AI Video Creation Platform

RongGuang: Agent-Based End-to-End AI Video Creation Platform 239

An open-source, agent-based end-to-end AI video creation tool. It automatically breaks text scripts into structured storyboards and orchestrates multiple leading AI models to generate images and video clips—automating the entire pipeline from scriptwriting to final video.

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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.

Rongguang

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:

  1. Install the Docker environment

  2. Clone the project repository: git clone https://github.com/Stonewuu/ai-fusion-video.git

  3. Run in the project root directory: docker compose up -d

Local Development from Source:

  1. Prepare the environment: JDK 21+, Node.js 20+, pnpm 9+, MySQL, Redis

  2. Start middleware such as MySQL and Redis first

  3. Start the backend and frontend services separately

Usage Flow

  1. Create a new project and paste the script or copy

  2. Click "AI Smart Breakdown" and the Agent will automatically split the text into structured storyboards

  3. Fine-tune prompts and camera-movement parameters in the storyboard editor

  4. Execute the workflow; the Agent will automatically schedule: generate reference images → select and lock → generate video clips

  5. 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 DimensionRongguangHuobao Short Drama
Product PositioningOpen-source end-to-end AI video creation platformAI-driven automated short-drama production platform
Open-Source LicenseMIT License (free for commercial use)CC BY-NC-SA 4.0 (commercial use restricted)
Technical ArchitectureJava (Spring Boot) + Node.jsGo + Vue3
Core StrengthsMulti-model compatibility, storyboard-driven, visualized workflowCharacter consistency management, highly automated script-to-video pipeline
DatabaseMySQLSQLite (default)

Github:https://github.com/Stonewuu/ai-fusion-video

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