video-starter-kit

video-starter-kit

Open-source project that demonstrates AI models for video producing on the browser

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A powerful starting kit for building AI-powered video applications. This toolkit simplifies the complexities of working with AI video models in the browser. It offers browser-native video processing, AI model integration, advanced media capabilities, and developer utilities. The tech stack includes fal.ai for AI model infrastructure, Next.js for React framework, Remotion for video processing, IndexedDB for browser-based storage, Vercel for deployment platform, and UploadThing for file upload. The kit provides features like seamless video handling, multi-clip composition, audio track integration, voiceover support, metadata encoding, and ready-to-use UI components.

README:

AI Video Starting Kit

License: MIT fal.ai Next.js Remotion

A powerful starting kit for building AI-powered video applications. Built with Next.js, Remotion, and fal.ai, this toolkit simplifies the complexities of working with AI video models in the browser.

Features

  • 🎬 Browser-Native Video Processing: Seamless video handling and composition in the browser
  • 🤖 AI Model Integration: Direct access to state-of-the-art video models through fal.ai
    • Minimax for video generation
    • Hunyuan for visual synthesis
    • LTX for video manipulation
  • 🎵 Advanced Media Capabilities:
    • Multi-clip video composition
    • Audio track integration
    • Voiceover support
    • Extended video duration handling
  • 🛠️ Developer Utilities:
    • Metadata encoding
    • Video processing pipeline
    • Ready-to-use UI components
    • TypeScript support

Tech Stack

Quick Start

  1. Clone the repository:
git clone https://github.com/fal-ai-community/video-starter-kit
cd video-starter-kit
  1. Install dependencies:
npm install
# or
yarn install
# or
pnpm install
  1. Set up your environment variables:
cp .env.example .env.local
  1. Start the development server:
npm run dev
# or
yarn dev
# or
pnpm dev

Open http://localhost:3000 to see the application.

Contributing

We welcome contributions! See our Contributing Guide for more information.

Community

License

This project is licensed under the MIT License - see the LICENSE file for details.

Deployment

The easiest way to deploy your application is through Vercel.

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