Download the installer from WarlockHub
Warlock-Studio is an open-source desktop application that unifies the power of MedIA-Witch and MedIA-Wizard into a single, seamless platform for AI-driven image and video enhancement. Featuring support for the latest upscaling, restoration, and interpolation models with a sleek, intuitive interface, Warlock-Studio brings professional-grade media processing to everyone.
Now with advanced AI-based frame interpolation (RIFE), support for slow-motion video generation, refined GPU management, and a more modular, scalable UI—Warlock-Studio 2.0 is built for the future of creative enhancement.
- General UI
- RIFE Options UI
Follow these steps to get up and running with Warlock-Studio:
- Run the installer and follow the on-screen prompts.
- Launch the app: open
Warlock-Studio.exeon Windows. - Start enhancing your images and videos with a few clicks!
Warlock-Studio leverages PyInstaller and Inno Setup for effortless packaging and installation.
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State-of-the-Art AI Models: Real-ESRGAN, SRGAN, BSRGAN, IRCNN, Waifu2x, Anime4K, RIFE and more for noise reduction, resolution boost, high-fidelity restoration, and smooth frame interpolation.
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AI Frame Interpolation & Slow Motion Generation: Generate intermediate frames between existing video frames using RIFE. Create smooth x2/x4/x8 transitions or cinematic slow motion effects.
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Batch Processing: Upscale, interpolate, and enhance multiple images or videos in one go—ideal for large collections.
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Customizable Workflows: Pick your AI model, output resolution, file format (PNG, JPEG, MP4, etc.), and quality settings to suit any project.
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Intuitive UI: A clean, user-friendly interface designed for both novices and pros—everything you need is a click away.
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Open-Source & Extensible: Licensed under the MIT License. Additional conditions are described in the NOTICE file.
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Run as Administrator (optional but recommended for best performance).
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Load Media: drag & drop images, videos, or folders into the app.
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Configure Settings:
- Choose AI Model (Real-ESRGAN, SRGAN, BSRGAN, IRCNN, Waifu2x, Anime4K, RIFE, etc.)
- Set Output Resolution, Format, and optionally enable interpolation or slow motion
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Start Processing: hit Start and let the magic happen.
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Retrieve Results: the enhanced files will appear in your selected output folder.
- OS: Windows 10 or later
- RAM: 4 GB minimum (8 GB+ recommended)
- GPU: NVIDIA or DirectML-compatible GPU highly recommended for speed and compatibility
- Storage: Ample space for your media files and outputs
| Technology | License | Author / Maintainer | Source Code / Homepage |
|---|---|---|---|
| QualityScaler | MIT | Djdefrag | GitHub |
| RealScaler | MIT | Djdefrag | GitHub |
| FluidFrames | MIT | Djdefrag | GitHub |
| Real-ESRGAN | BSD 3-Clause / Apache 2.0 | Xintao Wang | GitHub |
| RealESRGAN-G | BSD 3-Clause / Apache 2.0 | Xintao Wang | GitHub |
| RealESR-Anime | BSD 3-Clause / Apache 2.0 | Xintao Wang | GitHub |
| RealESR-Net | BSD 3-Clause / Apache 2.0 | Xintao Wang | GitHub |
| RIFE | Apache 2.0 | hzwer | GitHub |
| SRGAN | CC BY-NC-SA 4.0 (Non-Commercial) | TensorLayer Community | GitHub |
| BSRGAN | Apache 2.0 | Kai Zhang | GitHub |
| IRCNN | BSD / Other (Mixed) | Kai Zhang | GitHub |
| Anime4K | MIT | Tianyang Zhang (bloc97) | GitHub |
| ONNX Runtime | MIT | Microsoft | GitHub |
| PyTorch | BSD 3-Clause | Meta AI | GitHub |
| FFmpeg | LGPL-2.1 / GPL (varies) | FFmpeg Team | Official Site |
| ExifTool | Perl Artistic License 1.0 | Phil Harvey | Official Site |
| DirectML | MIT | Microsoft | Official Site |
| Python | Python Software Foundation (PSF) | Python Software Foundation | Official Site |
| PyInstaller | GPLv2+ | PyInstaller Team | GitHub |
| Inno Setup | Custom Inno License | Jordan Russell | Official Site |
We welcome your contributions!
- Fork the repo.
- Create a branch for your feature or fix.
- Submit a Pull Request with a clear description of your changes.
For bug reports, suggestions or questions, reach out at negroayub97@gmail.com.
Warlock-Studio combines cutting-edge AI with a powerful yet user-friendly interface—take your media to the next level! 🧙♂️
© 2025 Iván Eduardo Chavez Ayub Licensed under the MIT License. Additional conditions are described in the NOTICE file.