Homepage: WarlockHub

MedIA-Witch is a powerful open-source desktop application for enhancing images and videos using advanced AI models. Based on QualityScaler, the tool integrates optimized models such as Real-ESRGAN, SRGAN, BSRGAN, and IRCNN, offering an easy-to-use interface to improve the quality and resolution of your media.

MedIA-Witch is distributed under the MIT License. Please refer to the LICENSE file for more details.

📊 System Requirements

• Operating System: Windows 10 or later.
• RAM: Minimum 4GB, recommended 8GB or more.
• GPU: A NVIDIA GPU is recommended for faster processing.
• Storage: Enough space for output files depending on the size and number of processed media.

🛠️ How to Use

1. Launch the application: Run MedIA-Witch.exe as administrator for better performance.
2. Select your file: Upload images, videos, or entire folders to enhance.
3. Configure the settings:
   • Choose the AI model (Real-ESRGAN, SRGAN, BSRGAN, IRCNN, etc.).
   • Adjust output resolution and format (PNG, JPEG, MP4, etc.).
4. Start the process: Click the UPSCALE button and let MedIA-Witch do its work.
5. Save the enhanced files: Once the process is complete, the files will be saved in the selected location.

📜 Credits and License

MedIA-Witch is based on QualityScaler and integrates several open-source technologies, including:

• QualityScaler – The main engine for image and video enhancement with AI. (MIT License)
• Real-ESRGAN – Model for enhancing image resolution. (MIT License)
• SRGAN – Generative Adversarial Network for super-resolution. (MIT License)
• BSRGAN– Generative Adversarial Network for degraded images. (MIT License)
• IRCNN – Model for noise reduction and image enhancement. (MIT License)
• ONNX Runtime – Optimized engine for running deep learning models. (Apache License 2.0)
• FFmpeg – Multimedia framework for image and video processing. (LGPL-2.1 or later)
• PyInstaller – Tool for packaging MedIA-Witch into an executable file. (GPLv2 or later)
• Inno Setup – Installer creator. (Inno Setup License)

Made by Iván E. C. Ayub(Ivan-Ayub97). Open-source project. GitHub repository. 2025

🤝 Contributions

Contributions are welcome! To collaborate:

1. Fork the repository and create a new branch.
2. Make your improvements or fixes.
3. Submit a pull request with a clear description of the changes.

If you have feedback, bug reports, or suggestions, contact us at negroayub97@gmail.com