AI-Powered Intelligent Segmentation Plugin
Transform your digital art workflow with cutting-edge AI segmentation technology. Smart Segments leverages the power of SAM2 (Segment Anything Model 2) to provide intuitive, one-click object detection and selection in Krita.
- 🧠 AI-Powered Segmentation - Advanced machine learning for precise object detection
- 🎯 Interactive Selection - Click-to-select any object in your artwork
- ⚡ Real-time Preview - Instant visual feedback as you work
- 🔧 Smart Tools Integration - Seamless integration with Krita's native tools
- 🎨 Artist-Friendly - Designed by artists, for artists
- 🚀 One-Click Setup - Automated installation and configuration
| Requirement | Version | Notes |
|---|---|---|
| Krita | 5.0+ | APT version with Python support (not Snap) |
| Python | 3.7+ | System Python installation |
| PyQt5 | Latest | For Python-Krita bindings |
| Disk Space | 5-6 GB | For AI models (1 GB) and tooling/dependencies (4-5 GB) |
| RAM | 4GB+ | Recommended for optimal performance |
Built and tested on Ubuntu 24.04 LTS, with potential cross-platform compatibility for:
- 🐧 Linux (Ubuntu, Debian, Fedora, Arch)
- 🪟 Windows 10/11
- 🍎 macOS (experimental)
sudo apt install libgtk-4-dev libadwaita-1-dev git blueprint-compiler gettext libxml2-utils libgtk4-layer-shell-devNote: While developed on Ubuntu, the plugin architecture supports cross-platform deployment. Windows and macOS compatibility may require additional testing.
- Open Krita
- Navigate to Tools → Scripts → Import Python Plugin from Web
- Enter this GitHub repository URL:
https://github.com/a904guy/Smart_Segments/releases/download/1.0.2/SmartSegments_v1.0.2.zip - Click OK and wait for download to complete
- Restart Krita
- Go to Settings → Configure Krita → Python Plugin Manager
- Enable "Smart Segments" plugin
- Restart Krita again
- Access via Tools → Smart Segments
- Download the latest release ZIP from GitHub Releases
- Open Krita
- Navigate to Tools → Scripts → Import Python Plugin from Zip File
- Select the downloaded ZIP file
- Restart Krita
- Go to Settings → Configure Krita → Python Plugin Manager
- Enable "Smart Segments" plugin
- Restart Krita again
- Access via Tools → Smart Segments
For developers and advanced users (click to expand)
This method creates symbolic links for live development:
./dev-install.shWhat this does:
- ✅ Verifies Krita installation and Python support
- ✅ Installs missing dependencies automatically
- ✅ Creates development symlinks for live editing
- ✅ Provides step-by-step activation guide
# Create Krita plugin directory
mkdir -p ~/.local/share/krita/pykrita
# Create symbolic links for development
ln -sf "$(pwd)/smart_segments" ~/.local/share/krita/pykrita/smart_segments
ln -sf "$(pwd)/smart_segments.desktop" ~/.local/share/krita/pykrita/smart_segments.desktopSee Smart Segments in action with these screenshots from the development process:
Development Mode: The plugin uses symbolic links, so code changes are immediately available after restarting Krita.
| Command | Description | Alternative |
|---|---|---|
./dev-install.sh |
Install plugin (dev mode) | - |
./dev-uninstall.sh |
Remove plugin | - |
./dev-utils.sh help |
Show all utilities | - |
./dev-utils.sh bundle |
Create distribution | python3 create_plugin_package.py |
./dev-utils.sh test |
Run test suite | cd tests && python3 run_tests.py |
./dev-utils.sh clean |
Clean artifacts | - |
./dev-utils.sh version |
Show version | - |
📦 Smart Segments
├── 🎨 smart_segments/ # Main plugin source
├── 🧪 tests/ # Test suite
├── 📚 documents/ # Documentation
├── 🎁 resources/ # Icons and assets
├── 🔧 dev-*.sh # Development scripts
└── 📋 create_plugin_package.py # Distribution builder
| Component | Location | Type |
|---|---|---|
| Plugin Source | smart_segments/ |
Directory |
| Plugin Installation | ~/.local/share/krita/pykrita/smart_segments |
Symlink |
| Krita Logs | ~/.local/share/krita/krita.log |
File |
| Krita Config | ~/.local/share/krita/ |
Directory |
Click for troubleshooting steps
-
Verify Krita Version
which krita # Should show: /usr/bin/krita -
Check Plugin Installation
ls -la ~/.local/share/krita/pykrita/ -
Monitor Krita Logs
tail -f ~/.local/share/krita/krita.log -
Common Issues
- ❌ Using Snap version of Krita (doesn't support Python plugins)
- ❌ Missing PyQt5 bindings
- ❌ Plugin not enabled in Python Plugin Manager
If you have the Snap version of Krita, you'll need to switch to the APT version:
# Remove snap version
sudo snap remove krita
# Install APT version with Python support
sudo apt install krita python3-pyqt5# System check
./dev-utils.sh version
# Plugin verification
ls -la ~/.local/share/krita/pykrita/smart_segments
# Real-time log monitoring
tail -f ~/.local/share/krita/krita.logWhen you first launch Smart Segments, the Setup Wizard automatically handles everything:
graph LR
A[Launch Plugin] --> B[System Check]
B --> C[Create Virtual Env]
C --> D[Download AI Models]
D --> E[Install Dependencies]
E --> F[Test Segmentation]
F --> G[Ready to Use! 🎉]
| Step | Description | Time | Requirements |
|---|---|---|---|
| 1️⃣ | System Requirements Check | ~5s | - |
| 2️⃣ | Virtual Environment Creation | ~30s | Python 3.7+ |
| 3️⃣ | AI Model Download (SAM2) | ~5-10min | Internet connection |
| 4️⃣ | Dependency Installation | ~2-5min | Internet connection |
| 5️⃣ | Test Segmentation | ~30s | - |
📡 Internet Required: First setup requires internet connection for downloading AI models (~1GB)
- PyTorch - Deep learning framework
- SAM2 Models - AI segmentation models
- NumPy - Numerical computing
- OpenCV - Computer vision utilities
- Pillow - Image processing
- Base Plugin: ~50MB
- AI Models: ~1GB
- Tooling/Dependencies: ~4-5GB
- Total: ~5-6GB
We welcome contributions! See our contributing guidelines for details.
This project is licensed under the MIT License - see the LICENSE file for details.
- Krita Foundation - For the amazing open-source digital painting software
- Meta AI - For the incredible SAM2 model
- PyTorch Team - For the powerful deep learning framework
Made with ❤️ by Hawkins.Tech Inc