Enhance image quality by increasing resolution
Ai Image Upscaler | Face Restoration | Image Enhancer
Enhance images to improve quality
Restore blurred or small images with prompt
Upscale an image using CCSR
Enlargen your images effortlessly
Enhance images with better quality and details
Enhance image quality using selected model and tile mode
Ai Image Upscaler | Face Restoration | Image Enhancer
Enhance image resolution
Enhance image details and resolution
Enhance and upscale images using selected models
Enhance image quality by upscaling
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.