d585b5c93cde779ea3a283486861ba6c6a33c33b
Updated README.md to include new version details and features.
Inspired by Djdefrag tools such as QualityScaler and FluidFrames, Warlock-Studio provides a unified, high-performance platform for upscaling, restoration, denoising, and frame interpolation.
📥 Download Installer
You can download the installer from either option below:
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🖼️ Interface Previews
🖼️ Quality Comparison
✨ Update 5.0
- Modular Architecture (v5.0): The code has been refactored into specialized components (
core,preferences,console,drag_drop) for superior stability, fault isolation, and code maintainability. - NEO Engine: Advanced diagnostic subsystem that scans VRAM, RAM, and CPU topology to generate optimal configuration recommendations in real-time.
- ⚙️ Centralized Preferences Panel: Provides a quick-access Settings Button that opens a comprehensive panel for system management:
- UI Control: Customize the Theme (Light/Dark), Interface Scaling, and Window Opacity.
- Hardware Configuration: Adjust the VRAM limit, select the preferred GPU device, and configure \texttt{tiling} parameters based on NEO Engine data.
- Maintenance: Tools to clear the model cache, manage error logs, and perform online update checks.
- Integrated Console: A GUI terminal that intercepts
sys.stdoutandsys.stderrto display inference logs, errors, and warnings with syntax highlighting for instant debugging. - Native Drag & Drop: Direct support for dragging and dropping image and video files from the operating system explorer.
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✨ Key Features
- AI Upscaling & Restoration – Utilize Real-ESRGAN, BSRGAN, and IRCNN models for denoising, super-resolution, and detail recovery.
- Face Restoration (GFPGAN) – Recover facial details from low-resolution or blurry images and video frames.
- Frame Interpolation (RIFE) – Smooth motion or generate slow-motion content with 2×, 4×, or 8× interpolation.
- Advanced Hardware Acceleration – Intelligent provider selection prioritizes CUDA, falls back to DirectML, and finally CPU for maximum compatibility and performance.
- Batch Processing – Process multiple media files simultaneously, saving time and effort.
- Custom Workflows – Fine-grained control over models, resolution, output formats, and quality parameters.
- Open-Source & Extensible – Fully MIT licensed, for contributors and developers.
🖥️ System Requirements
- OS: Windows 11 or Windows 10 (64-bit)
- RAM: 8GB (minimum) / 16GB+ (recommended for 4K Video)
- GPU: DirectX 12 compatible graphics card. NVIDIA (for CUDA), AMD, or Intel GPU with up-to-date drivers.
- VRAM: 4GB+ recommended. The NEO Engine automatically tunes limits on startup.
- Storage: Sufficient free space for input and processed media. SSD highly recommended for video I/O.
🤝 Contributions
We welcome contributions from the community:
Fork the repository. Create a branch for your feature or bug fix. Submit a Pull Request with a detailed description and testing notes.
📧 Contact: negroayub97@gmail.com
📜 License
© 2025 Iván Eduardo Chavez Ayub Licensed under MIT. Additional terms and attributions are provided in NOTICE.md.
📊 Integrated Technologies & Licenses
| Technology | License | Author / Maintainer | Source |
|---|---|---|---|
| QualityScaler | MIT | Djdefrag | GitHub |
| FluidFrames | MIT | Djdefrag | GitHub |
| Real-ESRGAN | BSD 3-Clause / Apache | Xintao Wang | GitHub |
| GFPGAN | Apache 2.0 | TencentARC / Xintao Wang | GitHub |
| RIFE | Apache 2.0 | hzwer | GitHub |
| BSRGAN | Apache 2.0 | Kai Zhang | GitHub |
| IRCNN | BSD / Mixed | Kai Zhang | GitHub |
| ONNX Runtime | MIT | Microsoft | GitHub |
| FFmpeg | LGPL / GPL | FFmpeg Team | Official Site |
| ExifTool | Artistic License | Phil Harvey | Official Site |
| Python | PSF License | Python Software Foundation | Official Site |
| PyInstaller | GPLv2+ | PyInstaller Team | GitHub |
| Inno Setup | Custom | Jordan Russell | Official Site |
Description
Suite for Windows with Real-ESRGAN, RealESRNet, RealESRAnime, BSRGAN , IRCNN, GFPGAN & RIFE. Upscaling, face restoration, frame interpolation, denoising, batch processing & GPU acceleration in one tool.
artificial-intelligenceesrganface-restorationffmpeggfpganimage-processingmachine-learningonnxonnx-modelspythonpython3real-esrganrifeupscalerimageupscale-videoupscalingvideovideo-interpolationwindows
Readme
MIT
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