## **Download the installer** from our [WarlockHub](https://warlockhub-17vu0fo.gamma.site/warlockhub) ![Warlock-Studio logo](rsc/banner.png) ### AI-Powered Media Enhancement & Upscaling Suite 2.0 Warlock-Studio is an **open-source desktop application** that unifies the power of [**MedIA-Witch**](https://github.com/Ivan-Ayub97/MedIA-Witch.git) and [**MedIA-Wizard**](https://github.com/Ivan-Ayub97/MedIA-Wizard.git) 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. --- ## Captures - General UI ![Screenshot of Warlock-Studio](rsc/Capture.png) - RIFE Options UI ![Screenshot of Warlock-Studio](rsc/CaptureRIFE.png) --- ## Installation Follow these steps to get up and running with Warlock-Studio: 1. **Run the installer** and follow the on-screen prompts. 2. **Launch the app:** open `Warlock-Studio.exe` on Windows. 3. **Start enhancing** your images and videos with a few clicks! Warlock-Studio leverages [PyInstaller](https://www.pyinstaller.org/) and [Inno Setup](http://www.jrsoftware.org/isinfo.php) for effortless packaging and installation. --- ## Key Features - **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. - **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. - **Batch Processing:** Upscale, interpolate, and enhance multiple images or videos in one go—ideal for large collections. - **Customizable Workflows:** Pick your AI model, output resolution, file format (PNG, JPEG, MP4, etc.), and quality settings to suit any project. - **Intuitive UI:** A clean, user-friendly interface designed for both novices and pros—everything you need is a click away. - **Open-Source & Extensible:** Licensed under the MIT License. Additional conditions are described in the [NOTICE](NOTICE) file. --- ## How to Use 1. **Run as Administrator** (optional but recommended for best performance). 2. **Load Media:** drag & drop images, videos, or folders into the app. 3. **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** 4. **Start Processing:** hit **Start** and let the magic happen. 5. **Retrieve Results:** the enhanced files will appear in your selected output folder. --- ## Quality Comparison ![Quality Comparison](rsc/Image_comparison.png) --- ## System Requirements - **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 --- ### Integrated Technologies & Licenses | Technology | License | Author / Maintainer | Source Code / Homepage | | ------------- | -------------------------------- | ------------------------------------------------------- | ---------------------------------------------------------- | | QualityScaler | MIT | [Djdefrag](https://github.com/Djdefrag) | [GitHub](https://github.com/Djdefrag/QualityScaler) | | RealScaler | MIT | [Djdefrag](https://github.com/Djdefrag) | [GitHub](https://github.com/Djdefrag/RealScaler) | | FluidFrames | MIT | [Djdefrag](https://github.com/Djdefrag) | [GitHub](https://github.com/Djdefrag/FluidFrames) | | Real-ESRGAN | BSD 3-Clause / Apache 2.0 | [Xintao Wang](https://github.com/xinntao) | [GitHub](https://github.com/xinntao/Real-ESRGAN) | | RealESRGAN-G | BSD 3-Clause / Apache 2.0 | [Xintao Wang](https://github.com/xinntao) | [GitHub](https://github.com/xinntao/Real-ESRGAN) | | RealESR-Anime | BSD 3-Clause / Apache 2.0 | [Xintao Wang](https://github.com/xinntao) | [GitHub](https://github.com/xinntao/Real-ESRGAN) | | RealESR-Net | BSD 3-Clause / Apache 2.0 | [Xintao Wang](https://github.com/xinntao) | [GitHub](https://github.com/xinntao/Real-ESRGAN) | | RIFE | Apache 2.0 | [hzwer](https://github.com/hzwer) | [GitHub](https://github.com/megvii-research/ECCV2022-RIFE) | | SRGAN | CC BY-NC-SA 4.0 (Non-Commercial) | [TensorLayer Community](https://github.com/tensorlayer) | [GitHub](https://github.com/tensorlayer/srgan) | | BSRGAN | Apache 2.0 | [Kai Zhang](https://github.com/cszn) | [GitHub](https://github.com/cszn/BSRGAN) | | IRCNN | BSD / Other (Mixed) | [Kai Zhang](https://github.com/cszn) | [GitHub](https://github.com/cszn/IRCNN) | | Anime4K | MIT | [Tianyang Zhang (bloc97)](https://github.com/bloc97) | [GitHub](https://github.com/bloc97/Anime4K) | | ONNX Runtime | MIT | [Microsoft](https://github.com/microsoft) | [GitHub](https://github.com/microsoft/onnxruntime) | | PyTorch | BSD 3-Clause | [Meta AI](https://pytorch.org/) | [GitHub](https://github.com/pytorch/pytorch) | | FFmpeg | LGPL-2.1 / GPL (varies) | [FFmpeg Team](https://ffmpeg.org/) | [Official Site](https://ffmpeg.org) | | ExifTool | Perl Artistic License 1.0 | [Phil Harvey](https://exiftool.org/) | [Official Site](https://exiftool.org/) | | DirectML | MIT | [Microsoft](https://github.com/microsoft/) | [Official Site](https://github.com/microsoft/DirectML) | | Python | Python Software Foundation (PSF) | [Python Software Foundation](https://www.python.org/) | [Official Site](https://www.python.org) | | PyInstaller | GPLv2+ | [PyInstaller Team](https://github.com/pyinstaller) | [GitHub](https://github.com/pyinstaller/pyinstaller) | | Inno Setup | Custom Inno License | [Jordan Russell](http://www.jrsoftware.org/) | [Official Site](http://www.jrsoftware.org/isinfo.php) | --- ## Contributions We welcome your contributions! 1. **Fork** the repo. 2. **Create a branch** for your feature or fix. 3. **Submit a Pull Request** with a clear description of your changes. For bug reports, suggestions or questions, reach out at **[negroayub97@gmail.com](mailto:negroayub97@gmail.com)**. Warlock-Studio combines cutting-edge AI with a powerful yet user-friendly interface—take your media to the next level! 🧙‍♂️ --- ## License © 2025 Iván Eduardo Chavez Ayub Licensed under the MIT License. Additional conditions are described in the [NOTICE](NOTICE.md) file.