DreamLayer

DreamLayer AI Documentation

Welcome to the comprehensive documentation for DreamLayer AI - The Cleanest, Fastest Stable Diffusion WebUI.

🚀 Quick Navigation

Getting Started

• Quick Start Guide - Get up and running in 60 seconds
• Installation Guide - Complete setup instructions
• Usage Guide - How to use DreamLayer effectively

Technical Documentation

• Architecture - System design and component overview
• API Reference - Complete API documentation
• Module Documentation - Detailed module guides

Development

• Contributing - How to contribute to DreamLayer
• Changelog - Version history and updates

🎯 What is DreamLayer AI?

DreamLayer AI is a modern, open-source Stable Diffusion WebUI that combines the power of ComfyUI with a clean, intuitive interface. Built for AI artists, researchers, developers, and prompt engineers who demand both performance and usability.

Key Features

• 🎨 Clean Interface - Modern React-based UI with TypeScript
• ⚡ High Performance - Optimized for speed and efficiency
• 🔧 Modular Architecture - Easy to extend and customize
• 🌐 Multi-Model Support - Local models + cloud APIs (DALL-E, Ideogram, FLUX)
• 🛠️ Advanced Features - ControlNet, LoRA, upscaling, face restoration
• 📱 Responsive Design - Works on desktop and mobile devices

Architecture Overview

DreamLayer follows a three-tier architecture:

1. Frontend Layer - React/TypeScript UI components
2. API Layer - Flask-based REST API server
3. Generation Layer - ComfyUI integration for image generation

graph LR
    A[React Frontend] --> B[Flask API]
    B --> C[ComfyUI Engine]
    C --> D[Stable Diffusion Models]
    B --> E[Cloud APIs]

🏗️ System Components

Core Modules

• dream_layer.py - Main Flask API server
• txt2img_server.py - Text-to-image generation server
• img2img_server.py - Image-to-image generation server
• controlnet.py - ControlNet integration
• Frontend Components - React/TypeScript UI

Key Directories

• dream_layer_backend/ - Python API server and utilities
• dream_layer_frontend/ - React frontend application
• ComfyUI/ - Integrated ComfyUI engine
• workflows/ - Pre-configured generation workflows

🎨 Supported Models

Local Models

• Stable Diffusion - All SD 1.5, 2.1, and XL variants
• Custom Checkpoints - Any compatible .safetensors files
• LoRA Models - Lightweight fine-tuned models
• ControlNet - Structure-guided generation
• Upscalers - ESRGAN, Real-ESRGAN, and more

Cloud APIs

• OpenAI DALL-E - DALL-E 2 and DALL-E 3
• Ideogram - Ideogram V3
• FLUX - FLUX Pro and FLUX Dev

🚀 Getting Started

1. Clone the repository

   git clone https://github.com/DreamLayer-AI/DreamLayer.git
   cd DreamLayer
   

2. Install dependencies

   # macOS/Linux
   ./install_mac_dependencies.sh
      
   # Windows
   install_windows_dependencies.bat
   

3. Start DreamLayer

   # macOS/Linux
   ./start_dream_layer.sh
      
   # Windows
   start_dream_layer.bat
   

4. Open your browser to http://localhost:8080

For detailed instructions, see the Quick Start Guide.

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for:

• Code style guidelines
• Development setup
• Pull request process
• Issue reporting

📄 License

DreamLayer AI is licensed under the GPL-3.0 License. See the LICENSE file for details.

🔗 Links

• GitHub Repository
• Issues
• Discussions
• Releases

---

Last updated: December 2024

This site is open source. Improve this page.