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Image Upscaling
Real CUGAN

Real CUGAN

Enhance image quality using selected model and tile mode

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What is Real CUGAN ?

Real CUGAN is an advanced tool designed for image upscaling that utilizes cutting-edge AI models to enhance the quality of images. It leverages sophisticated deep learning techniques to improve resolution and restore details, making it particularly useful for transforming low-resolution images into high-quality visuals. The tool is optimized for both efficiency and precision, ensuring that upscaled images retain their natural appearance without introducing unwanted artifacts.

Features

  • Advanced AI models: Built on state-of-the-art architectures like SwinIR and BSRGAN for superior upscaling performance.
  • Tile mode support: Helps process large images by dividing them into smaller tiles, ensuring consistent quality across the entire image.
  • Batch processing: Allows users to upscale multiple images simultaneously, saving time and effort.
  • High-quality outputs: Produce images with sharp details and natural textures, reducing blur and noise effectively.

How to use Real CUGAN ?

  1. Install Real CUGAN: Begin by installing the tool using pip: pip install real-cugan. Ensure you have the necessary Python environment set up.
  2. Prepare your images: Locate the images you want to upscale and place them in a dedicated folder.
  3. Run the upscaling process: Use the command real-cugan --input "path/to/images" --output "path/to/results". You can adjust settings like scale factor or tile size as needed.
  4. Review the results: After processing, check your upscaled images in the specified output folder.

Frequently Asked Questions

What models does Real CUGAN support?
Real CUGAN supports a variety of state-of-the-art models, including SwinIR, BSRGAN, and Real-ESRGAN. These models are selected for their ability to deliver high-quality upscaling results.

Can I use Real CUGAN for upscaling images to extreme resolutions?
Yes, Real CUGAN is capable of upscaling images to extreme resolutions, though the quality may vary depending on the original image and chosen model.

How do I report issues or request new features?
You can report issues or request new features by visiting the official GitHub repository and opening an issue. The community and developers actively monitor and respond to feedback.

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