AI Image Studio

A powerful, Linux-native AI image generation and editing application.

Features

• Node-based workflows - Build flexible, reproducible image processing pipelines
• Output Studio - Compare, blend, and refine generated images
• Universal model support - Local models via stable-diffusion.cpp (focused set like SDXL/SD1.5) and hosted APIs (OpenAI, Stability AI, etc.)
• 600+ filters - G'MIC integration for non-AI image processing
• Batch processing - Automate workflows with scripting and batch operations

Requirements

• Python 3.11+
• Qt6 / PySide6
• CUDA-compatible GPU (recommended for local AI models)
• libgmic (optional, for G'MIC filters)

Installation

# Create virtual environment
python -m venv venv
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Run application
python -m ai_image_studio

Development

# Install dev dependencies
pip install -r requirements-dev.txt

# Run tests
pytest

# Run linting
ruff check src/

Project Structure

ai_image_studio/
├── src/                    # Source code
│   ├── core/              # Core data structures and execution
│   ├── providers/         # AI model providers
│   ├── nodes/             # Node type implementations
│   ├── filters/           # G'MIC integration
│   ├── scripting/         # Scripting engine
│   ├── ui/                # User interface
│   ├── state/             # State management
│   └── utils/             # Utilities
├── resources/             # Icons, themes, templates
├── tests/                 # Test suite
└── docs/                  # Documentation

Documentation

See the docs/ directory for:

• Design Document - Vision and decisions
• Architecture - Technical structure
• Features - Detailed specifications
• Wireframes - UI mockups

License

TBD

Status

🚧 In Development - Phase 0: Project Setup