Iván Eduardo Chavez Ayub
Warlock-Studio is a unified, high-performance platform for upscaling, restoration, denoising, and frame interpolation. Inspired by Djdefrag tools such as QualityScaler and FluidFrames.
📥 Download Installer
This installer was built using PyInstaller and Inno Setup.
By default, it includes DirectML support to ensure maximum compatibility with any graphics card (NVIDIA/AMD/INTEL).
Select your preferred option to download the latest version (Direct Release/SourceForge):
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🖼️ Interface Previews
🚀 Version 5.1 Highlights (Decoupling & Precision)
Version 5.1 introduces significant structural and algorithmic improvements, transforming the application's stability and file handling efficiency.
- Asynchronous Architecture (New
FileQueueManager): File I/O operations (metadata reading, thumbnail generation) are now offloaded to background threads. This eliminates UI freezes (ANR) during batch processing and ensures a non-blocking user experience. - Critical AI Correction: Implemented Dynamic Padding for the RIFE frame interpolation algorithm. This surgically corrects a mathematical deficiency, guaranteeing artifact-free video output regardless of the source video's resolution (eliminates black/green edge artifacts).
- Preferences Redesign: The Settings panel has been completely re-engineered into a modern Sidebar Navigation system, improving categorization and usability.
- Diagnostic Suite: Added an integrated Real-Time Log Viewer and an automatic Debug Package Export tool to streamline error reporting.
- Enhanced Stability: Introduced Binary Path Overrides for FFmpeg/ExifTool, rigorous thread-safe UI updates, and safer process shutdown handling.
🔍 Quality Comparison
✨ Key Features
- AI Upscaling & Restoration – Utilize Real-ESRGAN, BSRGAN, RealESRNet, RealESR_Animex4, 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.
- 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
| Component | Minimum Specification | Recommended Specification |
|---|---|---|
| OS | Windows 10 (64-bit) | Windows 11 (64-bit) |
| RAM | 8 GB | 16 GB+ (Recommended for 4K Video) |
| GPU | DirectX 12 Compatible | NVIDIA RTX 2060 / AMD RX 6700 XT |
| VRAM | 4 GB | 8 GB+ (NEO Engine auto-tunes limits) |
| Storage | HDD Space | NVMe SSD (Highly recommended for RIFE) |
🤝 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 & Credits
© 2025 Iván Eduardo Chavez Ayub
Licensed under MIT. Additional terms and attributions are provided in NOTICE.md.
📊 Integrated Technologies & Licenses
| Technology / Model | License | Author / Maintainer | Source |
|---|---|---|---|
| Real-ESRGAN | BSD 3-Clause | Xintao Wang | GitHub |
| • RealESRGANx4 | BSD 3-Clause | Xintao Wang | Same as above |
| • RealESRNetx4 | BSD 3-Clause | Xintao Wang | Same as above |
| • RealESR_Gx4 (Custom Variant) | BSD 3-Clause | Xintao / Community | Same as above |
| • RealESR_Animex4 (Anime Model) | BSD 3-Clause | Community | Same as above |
| BSRGAN | Apache 2.0 | Kai Zhang | GitHub |
| • BSRGANx4 | Apache 2.0 | Kai Zhang | Same as above |
| • BSRGANx2 | Apache 2.0 | Kai Zhang | Same as above |
| IRCNN | BSD / Mixed | Kai Zhang | GitHub |
| • IRCNN_Mx1 | BSD / Mixed | Kai Zhang | Same as above |
| • IRCNN_Lx1 | BSD / Mixed | Kai Zhang | Same as above |
| GFPGAN | Apache 2.0 | TencentARC | GitHub |
| RIFE | Apache 2.0 | hzwer | GitHub |
| QualityScaler | MIT | Djdefrag | GitHub |
| FluidFrames | MIT | Djdefrag | GitHub |
| ONNX Runtime | MIT | Microsoft | GitHub |
| FFmpeg | LGPL / GPL | FFmpeg Team | Official Site |
| ExifTool | Artistic | Phil Harvey | Official Site |
| Python | PSF License | Python Software Foundation | Official Site |
| PyInstaller | GPLv2+ | PyInstaller Team | GitHub |
| Inno Setup | Custom | Jordan Russell | Official Site |