Image & Design

GFPGAN

Face Restoration Model for Real-world Images

Status
UnmaintainedNo commits in 875 days.
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier · from $0

What it is

GFPGAN is a deep learning model designed to restore faces in images with high fidelity and detail, making it useful for enhancing degraded or low-quality photos.

GFPGAN stands out with its focus on practical algorithms for face restoration in real-world images, offering a unique approach compared to general image enhancement tools.

When it fits — and when it doesn’t

A good fit for

  • Developers working on image restoration projects who need high-fidelity face enhancement capabilities

  • Data scientists looking to improve the quality of facial data for machine learning tasks

Look elsewhere if

  • Projects requiring real-time processing, as GFPGAN is designed for offline use

  • Applications that require minimal computational resources due to its heavy reliance on deep learning models

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Resource-intensive for real-time applications

    Requires significant GPU resources, making it impractical for low-resource environments or real-time processing

  2. 02

    Limited support for non-face image restoration

    Model is highly specialized in face restoration and does not generalize well to other types of image enhancement tasks

What it does well

  • High-fidelity face restoration

  • Support for real-world images with various degradations

  • Customizable model parameters

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up GFPGAN

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
Get the badge

A small badge for GFPGAN’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.

GFPGAN — tracked on AI Navigator

Markdown

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HTML

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