Restore imagesThese models restore and improve images by... | Restore imagesThese models restore and improve images by...
Restore images
These models restore and improve images by fixing defects like blur, noise, and low resolution. Key capabilities:

Deblurring - Sharpen blurry images by reversing blur effects. Useful for old photos.
Denoising - Remove grain and artifacts by learning noise patterns.
Colorization - Add realistic color to black and white photos.
Face restoration - Improve the image quality of faces in old photos, or unrealistic AI generated faces.
Our Picks
Best restoration model: google-research/maxim
If you need to sharpen a blurry photo, or remove noise or compression artifacts, start with google-research/maxim. It has a total of 11 image restoration models baked-in that let you deblur, denoise, remove raindrops, and more. If you’re not getting the results you’re looking for, try megvii-research/nafnet which is similar but supports fewer restoration features.

Best colorization model: piddnad/ddcolor
The best model for adding color to black and white photos is piddnad/ddcolor, which was released in 2023. If you are looking for more saturated results try out arielreplicate/deoldify_image.

Best face restoration model: sczhou/codeformer
If you’re looking for a face restoration model, try starting with sczhou/codeformer. It produces more realistic faces than alternatives like tencentarc/gfpgan. If you aren’t getting the exact image improvements you want, we recommend exploring more modern upscaling models like batouresearch/magic-image-refiner.https://replicate.com/collections/image-restoration