diffusion-based Image Restoration model
Generate clean images from damaged ones
Remove background and repair images
Repair images using text prompts and masks
Repair images by inpainting missing parts
Transform images to vintage film styles
Remove scratches from images
Blind Image Restoration using Generative Networks
Restore images with NAFNet
Despliegue del modelo
Enhance images by removing noise or blur
Enhance blurry images to improve clarity
Repair images by filling in missing or unwanted parts
InstantIR is a diffusion-based Image Restoration model designed to restore and enhance old photographs. It leverages advanced AI technology to revive damaged, faded, or low-quality images, bringing them back to life with impressive detail and clarity. Users can input prompts to guide the restoration process, allowing for tailored results.
• Diffusion-Based Technology: Utilizes cutting-edge diffusion models for precise and natural image restoration.
• Text Prompt Support: Users can provide descriptive prompts to customize the restoration process.
• Automatic Noise Reduction:Minimizes grain, scratches, and other noise common in old photos.
• Batch Processing: Restore multiple images simultaneously for efficiency.
• Customizable Output: Adjust settings like colorization, sharpness, and more to achieve desired results.
What types of images does InstantIR support?
InstantIR works best with old, damaged, or low-quality photographs, including black-and-white and color images.
Can I use InstantIR without an internet connection?
No, InstantIR requires an active internet connection to process and restore images.
How long does the restoration process take?
Processing time varies depending on the image size and complexity, typically taking a few seconds to a minute for most photos.