GUI Image Studio Documentation
GUI Image Studio is a professional Python library and application for advanced image processing, manipulation, and GUI design. It provides a comprehensive toolkit for creating, editing, and managing images with a modern, intuitive interface built on Tkinter and CustomTkinter.
Features
Professional Image Editor: Full-featured GUI application with advanced editing tools
Comprehensive Image Processing: Support for filters, transformations, and effects
Animation Support: Create and edit animated GIFs with timeline controls
Theme System: Built-in light and dark themes with customization options
Batch Processing: Process multiple images with automated workflows
Plugin Architecture: Extensible system for custom filters and tools
Multiple Export Formats: Support for PNG, JPEG, GIF, BMP, and more
Cross-Platform: Works on Windows, macOS, and Linux
Quick Start
Installation
pip install gui-image-studio
Launch the Application
# Launch the main GUI application
gui-image-studio-designer
# Or use Python module
python -m gui_image_studio
# Or use the launcher script
python launch_designer.py
Basic Usage
import gui_image_studio
# Load an image
image = gui_image_studio.get_image("path/to/image.png")
# Apply transformations
resized = gui_image_studio.resize_image(image, (800, 600))
tinted = gui_image_studio.apply_tint(resized, "#FF6B6B")
# Save the result
gui_image_studio.save_image(tinted, "output.png")
Command Line Tools
# Create sample images for testing
gui-image-studio-create-samples
# Generate embedded image resources
gui-image-studio-generate --folder images/
# Check version
gui-image-studio-designer --version
Table of Contents
User Guide
API Reference
- API Reference
- Image Loader Module
- Image Studio GUI Module
- Generator Module
- Sample Creator Module
create_sample_images()
create_basic_icon()
create_themed_icon()
create_button_icon()
create_logo()
create_animated_gif()
create_shape_icon()
create_colorful_image()
- Overview
- Main Classes
- Sample Types
- Utility Functions
- Configuration
- Advanced Usage
- Integration with Testing
- Error Handling
- Performance Considerations
- Summary
- Command Line Interface
Development