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High-resolution restoration of an old portrait v1.0.0

Use this resource to restore an old portrait photo while keeping its authenticity

New

  • 590 downloads
  • 88 likes
  • 176 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install old-portrait-photo-restoration

First time: connect the CLI with

npx --yes palatekit@latest login

The prompt asks for an eight-step restoration: super-resolution, deblurring, scratch removal, colour, lighting and detail, keeping proportions and mood. You get a sharp version of the photo without an artificial look.

Mostly picked by

Updated November 2, 2026

Example result of the “High-resolution restoration of an old portrait” prompt

Details

Generates with
Your agent's model
Licence
CC0-1.0

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What you get

  • The full prompt, ready to paste
  • Eight steps: super-resolution, blur, colour, light, finish

Good fit for

  • Scanning a damaged family portrait
  • Preparing an old photo for a book or album

Not for

    Tags

    • restoration
    • portrait
    • photo
    • high resolution

    About

    You say

    “Same restoration, but keep the original grain and leave the background untouched.”

    Example result of the “High-resolution restoration of an old portrait” prompt

    Prompt published by senoldak under the CC0-1.0 license, delivered in its original version.

    Show more

    How to use it

    1. Paste the prompt into your image generator
    2. Replace the variable parts with your own
    3. Generate, then keep the best image

    Content preview

    Files

    • LICENSE0.6 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • old-portrait-photo-restoration.md2.8 KB

    Origin and licence

    Listed unmodified

    Author
    senoldak
    Source
    github.com/f/prompts.chat/blob/cecef6fc73c2c389770695a56252d331981727de/prompts.csv
    Licence
    CC0-1.0

    Notice

    « Ultra-High-Resolution Portrait Restoration » (senoldak, CC0-1.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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