Enhance image quality using selected model and tile mode
Enhance medical images with super-resolution GAN
Enhance image resolution
Upscale images using various models
Upscale images to higher resolutions
Upscale images to 4x quality
Ai Image Upscaler | Face Restoration | Image Enhancer
Clarity AI Upscaler Reproduction
Enhance image quality by upscaling
Enhance and upscale images
Enlarge images up to 8x with better face detail
Clarity AI Upscaler Reproduction
Enhance and upscale images with super resolution
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.