diffusion-based Image Restoration model
Restore and enhance old photos with faces
Enhance and restore faces in images
Repair images by inpainting masked areas
Repair image defects by masking and inpainting
Restore images with NAFNet
Repair images by inpainting missing parts
image restoration and enhancement
Repair images using text prompts and masks
Transform images to make them look vintage
Restore and enhance images with prompts
Enhance and restore faces in images
Repair images by inpainting missing or unwanted parts
InstantIR is a diffusion-based Image Restoration model designed to restore and enhance images using prompts. It transforms old, blurry, or low-quality photos into clear and vibrant visuals. Powered by advanced AI technology, InstantIR helps users breathe new life into their cherished memories by improving image clarity, color balance, and overall quality.
• Restore old photos: Bring back the vibrancy of faded or damaged images.
• Enhance image clarity: Sharpen blurry details and refine textures.
• Improve color balance: Revive accurate tones and hues in vintage or degraded images.
• Support for multiple formats: Process various image formats seamlessly.
• Automatic noise reduction: Clean up grainy or pixelated areas without manual effort.
• User-friendly interface: Simple and intuitive design for hassle-free restoration.
What types of images work best with InstantIR?
InstantIR is ideal for restoring old, blurry, or low-quality photos. It works particularly well with vintage or degraded images that need color correction and sharpening.
How can I get the best results from InstantIR?
To achieve optimal results, provide clear prompts describing the desired outcome, such as "enhance colors" or "remove noise." Uploading high-resolution images, even if they are degraded, will also help improve the output quality.
What file formats does InstantIR support?
InstantIR supports common image formats such as JPG, PNG, and BMP. Ensure your image is in one of these formats before uploading.