Warlock-Studio is a unified, high-performance platform for upscaling, restoration, denoising, and frame interpolation. Inspired by Djdefrag tools such as QualityScaler and FluidFrames.
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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- 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.
| 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) |
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: [email protected]
© 2025 Iván Eduardo Chavez Ayub
Licensed under MIT. Additional terms and attributions are provided in NOTICE.md.
| 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 |