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 photo restoration model: jingyunliang/swinir.
If you need to sharpen a blurry photo, upscale a small picture, or remove noise or compression artifacts, start with jingyunliang/swinir. It’s a fast and powerful model for many types of photo restoration. Another popular choice is megvii-research/nafnet.
Best colorization model: piddnad/ddcolor
The best model for adding color to black and white photos is piddnad/ddcolor. It runs faster and produces more vibrant results than other models. If you are looking for more diverse outputs, try cjwbw/bigcolor which will give you several options from one input.
Best face restoration model: tencentarc/gfpgan
If you’re looking for a face restoration model, start with tencentarc/gfpgan, which runs in a fraction of a second. If you need even more realistic faces, try lucataco/codeformer.
For more options, make sure to check out our image upscaling collection →
Featured models
topazlabs / image-upscale
Professional-grade image upscaling, from Topaz Labs
fofr / color-matcher
Color match and white balance fixes for images
zsxkib / bsrgan
Upscale videos + images with BSRGAN
tencentarc / gfpgan
Practical face restoration algorithm for *old photos* or *AI-generated faces*
piddnad / ddcolor
Towards Photo-Realistic Image Colorization via Dual Decoders
lucataco / codeformer
Robust face restoration algorithm for old photos/AI-generated faces
jingyunliang / swinir
Image Restoration Using Swin Transformer
cjwbw / bigcolor
Colorization using a Generative Color Prior for Natural Images
megvii-research / nafnet
Nonlinear Activation Free Network for Image Restoration
Recommended models
sczhou / codeformer
Robust face restoration algorithm for old photos / AI-generated faces
fermatresearch / magic-style-transfer
Restyle an image with the style of another one. I strongly suggest to upscale the results with Clarity AI
cjwbw / supir-v0f
Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. This is the SUPIR-v0F model and does NOT use LLaVA-13b.
cjwbw / supir-v0q
Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. This is the SUPIR-v0Q model and does NOT use LLaVA-13b.
cjwbw / supir
Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. This version uses LLaVA-13b for captioning.
codeplugtech / object_remover
mv-lab / instructir
High-Quality Image Restoration Following Human Instructions
arielreplicate / deoldify_image
Add colours to old images
codeslake / ifan-defocus-deblur
Removes defocus blur in an image
yangxy / gpen
Blind Face Restoration in the Wild
microsoft / bringing-old-photos-back-to-life
Bringing Old Photos Back to Life
cjwbw / night-enhancement
Unsupervised Night Image Enhancement
cjwbw / vqfr
Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
tencentarc / vqfr
Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
google-research / maxim
Multi-Axis MLP for Image Processing