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Warlock-Studio-Universal/README.md
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Warlock-Studio banner

Platform Python License: MIT

Last Commit Version 5.1.1

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Warlock Studio is a unified platform for upscaling, restoring, denoising, and interpolating frames in videos and images. It is inspired by and based on 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):  

Download from GitHub Warlock-Studio on SourceForge

🖼️ Interface Capture

Capture.webm

UICapture UICapture UICapture UICapture


🔍 Quality Comparison

WsvideovsGit3.webm

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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.

📧 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 BSD 3-Clause Xintao / Community Same as above
• RealESR_Animex4 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 MIT Hzwer / Megvii GitHub
QualityScaler MIT Djdefrag GitHub
FluidFrames MIT Djdefrag GitHub
CustomTkinter MIT Tom Schimansky GitHub
TkinterDnD2 MIT pmgagne GitHub
OpenCV (cv2) Apache 2.0 OpenCV Team Official Site
NumPy BSD 3-Clause NumPy Developers Official Site
Pillow (PIL) HPND Python-Pillow Team GitHub
MoviePy MIT Zulko GitHub
ONNX Runtime MIT Microsoft GitHub
FFmpeg LGPL / GPL FFmpeg Team Official Site
ExifTool Artistic Phil Harvey Official Site
Psutil BSD 3-Clause Giampaolo Rodola GitHub
Natsort MIT Seth M. Morton GitHub
Requests Apache 2.0 Kenneth Reitz GitHub
Python PSF License Python Software Foundation Official Site
PyInstaller GPLv2+ PyInstaller Team GitHub
Inno Setup Custom Jordan Russell Official Site