Enhance image quality using selected model and tile mode
Enhance image quality by increasing resolution
Enhance image resolution: 2x, 4x, 8x
Enhance image resolution and adjust DPI
Upscale images to higher resolutions
Enhance image resolution with LambdaSwinIR
Enlargen your images effortlessly
Upscale an image using CCSR
Upscale low-resolution images to high resolution
Clarity AI Upscaler Reproduction
Clarity AI Upscaler Reproduction
Enhance image resolution for clearer visuals
Enhance image quality with detail
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.
pip install real-cugan
. Ensure you have the necessary Python environment set up.real-cugan --input "path/to/images" --output "path/to/results"
. You can adjust settings like scale factor or tile size as needed.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.