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Rongguang - An open-source, end-to-end AI video creation platform with automated workflows.

AI Fusion Video is an open-source, end-to-end AI video creation platform that uses an agent-based architecture to automate workflows from scriptwriting to video generation.

What is light fusion?

Fusion Video (AI Fusion) is an open-source, end-to-end AI video creation platform. Based on an agent architecture, it automates the workflow from scriptwriting to video generation. The platform supports structured script editing, AI-powered automatic storyboard breakdown, multi-engine graphics, and video generation. It integrates mainstream large-scale models such as OpenAI, Claude, and Gemini, and utilizes a Java 21 + Spring Boot 3.5 backend and Next.js 16 frontend technology stack. It supports one-click Docker deployment, helping content creators efficiently complete video production.

The main functions of light blending

  • Script ManagementThe platform can create and edit video scripts, and supports structured management by episode/scene.
  • AI storyboard generationAI automatically breaks down the script into visual storyboards, including visual descriptions and camera language.
  • AI drawingIt integrates multiple AI drawing engines to generate storyboard reference images with one click.
  • AI video generationVideo clips are generated based on storyboard descriptions and reference images.
  • Material ManagementUnified management of images, videos, and other material resources within the project.
  • Multi-model supportIt integrates mainstream large models such as OpenAI, Claude, Gemini, Tongyi Qianwen, DeepSeek, and Ollama.

How to use light melting

  • Environmental preparationInstall Docker (recommended) or configure JDK 21+, Node.js 20+, pnpm 9+, MySQL and Redis environment.
  • Project Acquisition:implementgit clone https://github.com/Stonewuu/ai-fusion-video.gitCloning repository.
  • Quick Start: Docker users can run directlydocker compose up -dThe source code developer first starts the middleware.docker compose -f docker-compose-middleware.yml up -dThen start the backend separately../mvnw spring-boot:runand front-endpnpm dev.
  • System Configuration:accesshttp://localhost:8080(Docker) orhttp://localhost:3000(Development Mode) Configure the AI model key and storage backend in the system settings page.
  • Creation processCreate a project → Write a script → Generate storyboards using AI → Draw reference images using AI → Generate video clips using AI → Export footage.

Key information and usage requirements for Rongguang

  • Open source licenseLicensed by MIT, allowing for free commercial use and secondary development.
  • Hardware RequirementsRequires a Docker-enabled runtime environment or a local JDK 21+ runtime environment. Sufficient memory is recommended for AI model calls.
  • Dependency services: A MySQL database and Redis cache must be configured; an object storage service can be configured optionally.
  • API keyTo use AI features, you need to prepare your own API keys from service providers such as OpenAI and Claude.
  • Deployment methodSupports both Docker Compose one-click deployment and local source code development modes.

Rongguang's core advantages

  • Full process automationIt covers the entire workflow from script to finished film, reducing the need for manual intervention.
  • Multi-model compatibilityIt does not bind to a single AI service provider and supports flexible switching and comparison of mainstream large models.
  • Open source and customizableIt is open source under the MIT license and supports private deployment and in-depth feature expansion.
  • Visual Agent ProcessPipeline nodes are visualized, making the creation process transparent and controllable.
  • Storyboard-driven generationUse storyboards as an intermediate layer to ensure that the video content remains consistent with the script's intent.

Rongguang's project address

  • GitHub repositoryhttps://github.com/Stonewuu/ai-fusion-video

Comparison of Rongguang's similar competing products

Comparison Dimensions Fusion Video (AI Fusion Video) HeyGen Runway Gen-3
Product Positioning Open source agent-driven end-to-end authoring platform Cloud-based AI digital human video generation tool Professional AI video editing and generation platform
Workflow pattern A multi-stage pipeline from script to storyboard to images to video. Template Selection → Digital Human Driven → Video Compositing Upload materials → AI generation → Multi-track post-editing
Controllability High (high-level fine control at the storyboard level, supporting iterative adjustments) (Based on preset templates and digital human avatars) Intermediate to advanced levels (professional tools such as motion brushes, green screens, and camera controls)
Open source level Completely open source (MIT license, can be deployed privately). Closed-source SaaS services Closed-source SaaS services
Model support Multi-vendor compatibility (OpenAI/Claude/Gemini/domestic models, etc.) Mainly self-developed models Mainly based on self-developed Gen-3 series models
Applicable Scenarios Professional creator end-to-end management and team collaboration Quickly generate marketing videos and use digital human voices. Film-level advertising production, visual effects, and art short films

Application scenarios of light fusion

  • Short video creationQuickly transform text scripts into short video content with visuals, suitable for mass production by self-media.
  • Advertising and MarketingAutomatically generate multiple versions of ad storyboards and video materials based on product descriptions, accelerating creative iteration.
  • Education and TrainingThe syllabus is automatically broken down into visual course segments, lowering the barrier to entry for educational video production.
  • Film and television previewIndependent producers use AI to quickly generate storyboards and dynamic pre-visualizations to verify the feasibility of shooting plans.
  • Animation PrototypeAnimators can use AI storyboarding to quickly verify narrative rhythm and visual style.
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