Download Installer
++ Installers and releases are published for Windows (64-bit). +
+ +Interface Previews
+
+
+ Quality Comparison
++ Side-by-side samples and short demo videos demonstrating restoration + and upscaling results. +
+ +
+ 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
++ Common models bundled or supported by Warlock-Studio and their typical + use cases. +
+ +| 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 | +
Contributions
+We welcome contributions from the community:
+-
+
- Fork the repository on GitHub. +
- 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 & Technologies
+ + +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 |
-
+