RunAsh AI
Live Video Streaming Platform

A powerful AI Live Video Streaming Platform for building AI live video streaming 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

• fal.ai - AI model infrastructure
• Next.js - React framework
• Remotion - Video processing
• IndexedDB - Browser-based storage (no cloud database required)
• Vercel - Deployment platform
• UploadThing - File upload

Quick Start

1. Clone the repository:

git clone https://github.com/fal-ai-community/video-starter-kit
cd video-starter-kit

2. Install dependencies:

npm install
# or
yarn install
# or
pnpm install

3. Set up your environment variables:

cp .env.example .env.local

4. 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

• Discord - Join our community
• GitHub Discussions - For questions and discussions
• Twitter - Follow us for updates

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.