SoraWatermarkCleaner

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SoraWatermarkCleaner

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Sora2 Watermark Cleaner (GUI) is a graphical application for removing your own technical or test watermarks from images and videos during development or internal workflows.

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# Sora2 Watermark Cleaner (GUI Edition)

Sora2 Watermark Cleaner (GUI) is a graphical application for removing your own technical or test watermarks from images and videos during development or internal workflows.

⚠️ Do not use this tool to remove copyright or ownership watermarks from media you do not own.

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# TABLE OF CONTENTS
1. Features
2. Requirements
3. Installation
4. Launching the GUI
5. GUI Overview
6. Advanced Settings
7. Batch Processing
8. GPU Acceleration
9. Project Structure
10. Development & Testing
11. Troubleshooting
12. Contributing
13. License
14. Example main.py (GUI launcher)
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# FEATURES
- Fully graphical interface (PyQt / Tkinter depending on build)
- Drag & drop images or videos
- Batch folder support
- Real-time preview (before/after)
- Adjustable cleaning strength
- Fast/Standard/Deep modes
- GPU acceleration option
- Progress bar, logs and error reporting
- Saves settings between sessions

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# REQUIREMENTS

Python 3.9+
Recommended: GPU with CUDA (optional)

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# INSTALLATION

git clone https://github.com/ossessd/SoraWatermarkCleaner.git
cd SoraWatermarkCleaner
pip install -r requirements.txt

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# LAUNCHING THE GUI

python main.py

or if using a packaged build:

./Sora2WatermarkCleaner   (Linux)
Sora2WatermarkCleaner.exe (Windows)
Sora2WatermarkCleaner.app (macOS)

------------------------------------------------------------
# GUI OVERVIEW

Main window contains:

1. Input section  
   - Drag & drop area  
   - “Browse File” and “Browse Folder”  
   - Input preview

2. Output section  
   - Output path selector  
   - Auto-naming mode

3. Processing settings  
   - Strength (slider 0–100%)  
   - Mode: Fast • Standard • Deep  
   - GPU enable switch  
   - Preserve folder structure (batch)

4. Real-time preview  
   - Before / After toggle  
   - Auto-refresh

5. Action buttons  
   - “Clean file”  
   - “Clean folder”  
   - “Stop”

6. Status & logs  
   - Progress bar  
   - Realtime logs panel  
   - Error console

------------------------------------------------------------
# ADVANCED SETTINGS

In Settings → Advanced:

• Parallel workers count  
• Temporary cache directory  
• Preview resolution limit  
• Auto-save results  
• Auto-open output folder  
• Detailed logging

Configuration is stored in:

Windows: %APPDATA%/Sora2WC/config.json  
Linux: ~/.config/Sora2WC/config.json  
macOS: ~/Library/Application Support/Sora2WC/config.json

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# BATCH PROCESSING

Open the folder in the GUI:

1. Click “Select Folder”  
2. Choose processing mode  
3. Enable options:
   • Recursive  
   • Preserve file structure  
   • Skip unreadable files  
4. Click “Start Batch”

The progress bar shows:
- current file  
- overall progress  
- success/skipped/error count

------------------------------------------------------------
# GPU ACCELERATION

Enable by switching “GPU Mode” in the GUI (if supported).

Deep mode is significantly faster with GPU.

If GPU is not detected:
- Check CUDA installation  
- Update GPU drivers  
- Restart the application

------------------------------------------------------------
# DEVELOPMENT & TESTING

pip install -r requirements-dev.txt
pytest -q

Linters:
black src gui tests
flake8 src gui tests

------------------------------------------------------------
# TROUBLESHOOTING

Problem: Preview is slow  
Fix: Lower preview resolution in Settings

Problem: GPU not detected  
Fix: Reinstall CUDA, enable GPU in settings

Problem: Output is distorted  
Fix: Reduce strength or switch to Standard mode

Problem: Video fails to export  
Fix: Install ffmpeg

------------------------------------------------------------
# CONTRIBUTING

1. Fork the repository  
2. Create feature branch  
3. Add tests  
4. Submit PR

------------------------------------------------------------
# LICENSE

MIT (or your chosen license)

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