🚀 EnguiStudio (은긔 스튜디오)

A unified platform for easily using various open-source AI models with RunPod Serverless

Pronunciation: Eun-gui Studio (/ɯnɡɯi ˈstjuːdioʊ/)

Join our discord!

🎯 Project Overview

EnguiStudio is a platform that enables easy access to various open-source AI models through a web interface using RunPod Serverless infrastructure. Experience cutting-edge AI technology without complex setup.

✨ Key Features & Quick Deploy

• 🎬 Video Generation: WAN 2.2 video generation model with LoRA support

  

• ✨ FLUX KONTEXT: Image transformation and styling model

  

• 🎨 FLUX KREA: Advanced image generation model with LoRA support

  

• ✏️ Qwen Image Edit: AI-powered image editing model

  

• 🎤 MultiTalk(not recommended): Audio 2 Video model

  

• 🎭 Infinite Talk(recommend): Talking video generation model combining images and audio

  

• 🎬 WAN Animate: Advanced image-to-video animation with precise control points

  

• 📈 Video Upscale: AI-powered video upscaling

  

• 🖼️ Z-Image: Fast image generation model with optional ControlNet support

  

• 🔄 OneToAll: Video-to-video transformation with image reference

  

• ⚙️ Unified Settings: Manage RunPod endpoints in one place
• 📚 Library: Manage generated results
• ☁️ S3 Storage: File management and storage

🚀 Quick Start

You may need to run the script multiple times on your first launch due to AWS S3 and ffmpeg download/installation steps!

📺 YouTube Showcase

📺 Installation Tutorial

For Mac version installation, see this video.

⚡ Super Easy Installation (Recommended)

The easiest way to get started with EnguiStudio:

Windows Users

1. Download Node.js: Get it from nodejs.org (LTS version)
2. Clone the project:

   git clone https://github.com/wlsdml1114/Engui_Studio.git
   cd Engui_Studio

3. Run the setup script: Double-click start-windows.bat

macOS/Linux Users

1. Install Node.js:

   # macOS
   # if you don't have brew, install brew first using command below. and then install node
   # /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
   brew install node
   
   # Linux (Ubuntu/Debian)
   sudo apt install nodejs npm

2. Clone and run:

   git clone https://github.com/wlsdml1114/Engui_Studio.git
   cd Engui_Studio
   sh ./start-macos.sh

That's it! The script will automatically:

• ✅ Check Node.js installation
• ✅ Install all dependencies
• ✅ Set up the database
• ✅ Build the production version
• ✅ Start the production server
• ✅ Open your browser to http://localhost:3000

Initial Setup

1. Access Settings Page

Navigate to /settings in your browser

2. Configure RunPod

• Enter your RunPod API key
  • You can get your RunPod API key from here
• Configure endpoint IDs for each model:
  • You can get your RunPod endpoint IDs from here
    • Video Generation (WAN 2.2)
    • FLUX KONTEXT (Image transformation)
    • FLUX KREA (Image generation)
    • Qwen Image Edit (Image editing)
    • MultiTalk (Audio 2 Video)
    • Infinite Talk (Talking video)
    • WAN Animate (Image-to-video animation)
    • Video Upscale (Video enhancement)
    • Z-Image (Fast image generation with or without ControlNet)
    • OneToAll (Video-to-video transformation)
    • Example

3. Configure S3 Storage (Recommended)

• Set up S3-compatible storage for file management
• Configure endpoint URL, access keys, and bucket name in your network volume.
• Also you need to create s3 API key to generate access key id and secret access key.
• In network volume
• In s3 API key

4. Save and Test

• Save all settings
• Test connections using the test buttons
• Verify all services are working correctly

🔒 Security Notes

• Enter API keys and secrets only through web interface and store safely
• Run locally only to protect personal information
• Recommend environment variable configuration for production

📄 License

This project is distributed under the MIT License. See the LICENSE file for details.

🙏 Acknowledgments

• Next.js - React framework
• RunPod - AI infrastructure service
• Prisma - Database ORM
• Tailwind CSS - CSS framework
• Open Source AI Model Community - Providing various AI models

🌐 Language Support

• English (Current)
• 한국어

🔗 Use Our Banner

Want to link to EnguiStudio from your project? Use our banner:

[![EnguiStudio](https://raw.githubusercontent.com/wlsdml1114/Engui_Studio/main/assets/banner.png)](https://github.com/wlsdml1114/Engui_Studio)

Different Sizes:

• Small: width="400" height="140"
• Medium: width="600" height="210"
• Large: width="800" height="280" (original)