Clean and restore noisy document images
Remove scratches from images
Browse through restored images showing restoration stages
Enhance and restore old photos
Repair images by removing unwanted parts
Repair images by removing unwanted elements
Generate images with background removed and replaced!
Enhance faces in images
Enhance or restore your images by selecting a task
Repair images by filling in masked areas
Enhance images by removing noise or blur
Restore blurred or small images with prompt
GFPGAN-ZEROGPU is an AI-powered tool designed to restore and enhance old photos. It leverages advanced image restoration technology to breathe new life into degraded or damaged photographs, making them look sharper and more vibrant. The tool is optimized for low-resource devices, ensuring that users without high-end GPUs can still achieve professional-grade results.
• AI-based photo restoration: Automatically repairs and enhances old photos by removing noise, cracks, and other imperfections.
• Zero GPU requirement: Optimized to run efficiently on CPUs, making it accessible to users without dedicated graphics cards.
• User-friendly interface: Designed for ease of use, allowing even non-technical users to achieve stunning results.
• Batch processing support: Restore multiple photos at once, saving time and effort.
• Customizable settings: Adjust restoration parameters to suit specific needs, such as noise reduction, color correction, and sharpness.
What types of photos does GFPGAN-ZEROGPU support?
GFPGAN-ZEROGPU works with most common image formats, including JPG, PNG, and BMP. It is specifically designed for old, degraded, or damaged photos.
Can I use GFPGAN-ZEROGPU without a GPU?
Yes, GFPGAN-ZEROGPU is optimized to run on CPUs, making it accessible even without a dedicated graphics card. However, performance may vary depending on your device's processing power.
How long does it take to restore a photo?
Restoration time depends on the size and quality of the photo, as well as your device's hardware. On average, it takes a few seconds to a minute for standard images.