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+## **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.