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AI toolsImageCodeFormer

Added Nov 5, 2026

CodeFormer

Paid
Shangchen Zhou (sczhou)Image views clicks to the websiteNo ratings
Use tool

Open-source face restoration model for old and AI-generated photos

Face restoration for old photosFixes faces in AI-generated imagesBrowser playgroundReplicate APILocal Docker setupPaid
OverviewReleasesPricingAlternativesPros & ConsPromptsReviewsQ&A
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replicate.com
CodeFormerOpen-source face restoration model for old and AI-generated photosVisit replicate.com

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  • MidjourneyImage
Get your tool featured here →

What is CodeFormer?

CodeFormer is a face restoration model from Shangchen Zhou and co-authors that repairs blurry, damaged or low-quality faces in old photographs and AI-generated images. This Replicate page lets you run it in the browser or call it through an API without setting up a GPU.

The model comes from the NeurIPS 2022 paper on blind face restoration with a codebook lookup transformer. On Replicate you upload an image in the playground or send it through the API, and a prediction usually finishes within a few seconds on an Nvidia L40S GPU.

The code is public on GitHub, so you can also run it locally with Docker or try the Colab demo. It is released under the S-Lab License 1.0, which limits use to non-commercial purposes, and the Replicate listing states that its API version cannot be used commercially.

Features

  • Face restoration for old photos
  • Fixes faces in AI-generated images
  • Browser playground
  • Replicate API
  • Local Docker setup

Tags

Face RestorationOpen SourceAPI

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  • MidjourneyImage
Get your tool featured here →

Releases

+ Submit new release
  1. ListedNov 5, 2026

    CodeFormer was added to the directory.

Organization

Shangchen Zhou (sczhou)

Listed by kitio.ai · unverified owner

Pricing

Pricing model
Paid
Paid options from
Not listed

CodeFormer plans

  • Pay per run

    About $0.0056 / run

    • Billed by Replicate per prediction
    • Runs on Nvidia L40S GPUs
    • Cost varies with input

Prices in USD, checked Nov 5, 2026. Plans change often, so confirm on the CodeFormer site.Official pricing

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Pros and cons

Pros

  • Runs in a few seconds per image
  • Costs about half a cent per run
  • Code can be run locally for free

Cons

  • Non-commercial license only
  • Focused on faces, not whole-image repair
  • Hosted version bills per run

Prompts & results

No prompts yet. Add your own prompt and output to help others use this tool.

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Reviews

Q&A

What is CodeFormer?

CodeFormer is a face restoration model from Shangchen Zhou and co-authors that repairs blurry, damaged or low-quality faces in old photographs and AI-generated images. This Replicate page lets you run it in the browser or call it through an API without setting up a GPU.

Can I use CodeFormer results commercially?

No. CodeFormer uses the S-Lab License 1.0 for non-commercial use, and the Replicate listing says its API cannot be used commercially.

Can I run CodeFormer on my own computer?

Yes. The model is open source on GitHub and can be run locally with Docker, or tried in a Colab notebook.

How much does CodeFormer cost?

CodeFormer is paid.

Is there a free version of CodeFormer?

No. CodeFormer is a paid tool.

What are the main features of CodeFormer?

Face restoration for old photos, Fixes faces in AI-generated images, Browser playground, Replicate API, Local Docker setup.

Who makes CodeFormer?

CodeFormer is made by Shangchen Zhou (sczhou).

What are the best alternatives to CodeFormer?

Popular alternatives include Pollinations.AI, GFPGAN, withoutBG.

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