Gfpgan

xinntao

AI model preview image
GFPGAN is a practical face restoration algorithm that is capable of restoring old photographs or AI-generated faces. It uses a generative adversarial network (GAN) to achieve this task. GANs are deep learning models that consist of two networks: a generator and a discriminator. The generator network is trained to generate new images that resemble the input images, while the discriminator network is trained to differentiate between real and generated images. By iteratively training these two networks, GFPGAN is able to generate high-quality photo-realistic restorations of old photos or AI-generated faces.

Use cases

GFPGAN has several potential use cases. Firstly, it can be used in the field of image restoration to restore old photos and enhance the quality of deteriorated images. This could be particularly useful for archivists, historians, and photographers who often work with old photographs and need to preserve their historical or sentimental value. Secondly, GFPGAN can be employed in the creation of AI-generated faces and characters, used in video games, movies, or virtual reality environments. By generating high-quality and realistic faces, GFPGAN has the potential to save time and resources for artists and developers who would otherwise have to manually create or capture these faces. Furthermore, GFPGAN has the potential to be integrated into various software applications, such as photo editing tools or social media platforms, to provide users with advanced face restoration capabilities and improve the quality of their photos. Overall, GFPGAN's ability to restore old photos and generate AI faces opens up possibilities for practical applications and product development in the fields of image restoration, entertainment, and software integration.

Image-to-Image

Pricing

Cost per run
$0.0044
USD
Avg run time
8
Seconds
Hardware
Nvidia T4 GPU
Prediction

Creator Models

ModelCostRuns
Esrgan$0.0049557,772
Realesrgan$0.004952,799,042

Similar Models

Try it!

You can use this area to play around with demo applications that incorporate the Gfpgan model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Currently, there are no demos available for this model.

Overview

Summary of this model and related resources.

PropertyValue
Creatorxinntao
Model NameGfpgan
Description

Practical face restoration algorithm for *old photos* or *AI-generated face...

Read more ยป
TagsImage-to-Image
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv

Popularity

How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

PropertyValue
Runs1,986,593
Model Rank
Creator Rank

Cost

How much does it cost to run this model? How long, on average, does it take to complete a run?

PropertyValue
Cost per Run$0.0044
Prediction HardwareNvidia T4 GPU
Average Completion Time8 seconds