85c6579706d87a2975dc75caf18c95e268007e9c
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
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🖼️ Interface Previews
🖼️ Quality Comparison
✨ 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 higher (64-bit)
- RAM: 8GB+ recommended
- GPU: NVIDIA (for CUDA), AMD, or Intel GPU with up-to-date drivers recommended
- Storage: Sufficient free space for input and processed media
📊 Model Comparison
| Model File | Use Case | Speed | Quality | Notes |
|---|---|---|---|---|
| GFPGANv1.4 | Face restoration | High | High | Optimal for portraits |
| BSRGANx2 | 2× upscale + denoising | Medium | Very High | Suitable for lightly degraded media |
| BSRGANx4 | 4× upscale + denoising | Low | Very High | For heavily degraded content |
| RIFE | Frame interpolation | High | High | Smooth motion, slow-motion support |
| RIFE-Lite | Lightweight interpolation | Very High | Medium | Faster, lower resource usage |
| RealESRGANx4 | General 4× upscaling | Medium | High | Balanced performance |
| RealESRNetx4 | Subtle restoration | Medium | High | Preserves natural image texture |
| RealSRx4_Anime | Anime / line-art enhancement | Medium | High | Sharp edges for 2D art |
| IRCNN_L | Light denoising | High | Medium | Mild artifact removal |
| IRCNN_M | Medium denoising | High | Medium | Stronger artifact cleanup |
📂 Project Structure
Warlock-Studio/
├── AI-onnx/ # Pre-trained ONNX models for AI processing
│ ├── BSRGANx2_fp16.onnx
│ ├── BSRGANx4_fp16.onnx
│ ├── GFPGANv1.4.fp16.onnx
│ ├── IRCNN_Lx1_fp16.onnx
│ ├── IRCNN_Mx1_fp16.onnx
│ ├── RealESR_Animex4_fp16.onnx
│ ├── RealESR_Gx4_fp16.onnx
│ ├── RealESRGANx4_fp16.onnx
│ ├── RealESRNetx4_fp16.onnx
│ ├── RealSRx4_Anime_fp16.onnx
│ ├── RIFE_fp32.onnx
│ └── RIFE_Lite_fp32.onnx
│
├── Assets/ # Application assets and third-party binaries
│ ├── banner.png
│ ├── clear_icon.png
│ ├── exiftool.exe
│ ├── ffmpeg.exe
│ ├── ffmprobe.exe
│ ├── ffmplay.exe
│ ├── info_icon.png
│ ├── logo.ico
│ ├── logo.png
│ ├── stop_icon.png
│ ├── upscale_icon.png
│ ├── wizard-image.bmp
│ └── wizard-small.bmp
│
├── rsc/ # UI previews and branding resources
│ ├── Capture.png
│ ├── image_comparison.png
│ ├── CaptureCONSOLE.png
│ └── GitHub_Logo_WS.png
│
├── Warlock-Studio.py # Main application script
├── Warlock-Studio.spec # PyInstaller specification file
├── Setup.iss # Inno Setup installer script
├── README.md # Project overview
├── CHANGELOG.md # Version history and updates
├── LICENSE # MIT License information
├── NOTICE.md # Legal notices and attributions
├── CODE_OF_CONDUCT.md # Contributor guidelines
├── CONTRIBUTING.md # Contribution guide
└── SECURITY.md # Security reporting policies
🤝 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
52 MiB


