Enhance image quality by increasing resolution
Enlarges images with high quality
Upscale and improve your images
Enhance images with high-resolution scaling
Enhance images to 2x or 4x resolution
Enhance image quality by upscaling
Enhance low-resolution textures to high-resolution
Enhance image resolution and quality
Enhance and upscale images with clarity
Enhance and upscale images
Clarity AI Upscaler Reproduction
Enhance and upscale images
Enhance and upscale images for better resolution
SwinIR is a cutting-edge AI tool designed for image upscaling, leveraging advanced deep learning techniques to enhance image quality by increasing resolution. It utilizes the Swin Transformer architecture to achieve superior results in image restoration tasks.
• Swin Transformer Architecture: Employs the powerful Swin Transformer model for efficient and high-quality image processing.
• Lightweight and Efficient: Designed to be computationally efficient while maintaining high performance.
• Multi-Resolution Support: Capable of upscaling images by various factors (2x, 3x, 4x, etc.).
• High-Quality Output: Produces sharp and detailed images with minimal artifacts.
• User-Friendly Integration: Easy to integrate into existing workflows and applications.
pip install SwinIR
.What scale factors does SwinIR support?
SwinIR supports multiple scale factors, including 2x, 3x, and 4x upscaling, making it versatile for different applications.
What formats does SwinIR support for input images?
SwinIR supports common image formats such as JPEG, PNG, and BMP. It also works with numpy arrays for direct processing.
How do I obtain the SwinIR model?
You can easily install SwinIR using pip. The model weights are automatically downloaded when you use the package for the first time.