Enhance low-resolution images to high quality
Enhance images for better quality
Clarity AI Upscaler Reproduction
Upscale images using various models
Upscale an image by 4x using FLUX
Enhance images using various super resolution methods
Enhance image resolution up to 8x
Enhance image quality with detail
A marimo chatbot that can run Python code
Generate high-resolution images
Enhance medical images with super-resolution GAN
Enhance anime images to high resolution
Enhance low-resolution textures to high-resolution
Swin2sr is an advanced AI-powered image upscaling tool designed to enhance low-resolution images into high-quality visuals. Built on cutting-edge deep learning technology, it leverages the Swin Transformer architecture to deliver exceptional detail and clarity. Swin2sr is optimized for real-time processing, making it ideal for photographers, designers, and anyone needing high-resolution images.
pip install swin2sr
.from swin2sr import Swin2SR
.result = model.upscale(image)
.What image formats does Swin2sr support?
Swin2sr supports all major image formats, including JPEG, PNG, BMP, and TIFF.
Why do some upscaled images look unnatural?
This can happen due to over-enhancement or poor quality of the input image. Adjusting the model parameters or using a higher-quality input image can improve results.
How does Swin2sr differ from other upscaling tools?
Swin2sr uses the advanced Swin Transformer architecture, offering faster and more accurate upscaling compared to traditional methods like bicubic interpolation or other CNN-based approaches.