What this workflow creates
Repair a damaged, faded, or scratched old photo. One image per request.
- Who it’s for
- Home users, archivists
- What it does
- Repair cracks, stains and missing areas
- Where to use it
- Family memorials, archives
One image per request.
What you need
- Scans of old photos to be restoredRequired · 1 image
- Original characters/objects, costumes, backgrounds, grain, paper edges and actual damage provided.
Provide every required input. Add optional inputs only when useful, and mark conditional inputs as applicable only when they apply to this request.
How to use this workflow
Open the generation form
Select “Use this workflow” to see the required inputs. You’ll need to sign in before generating.
Add the required inputs
Prepare: Scans of old photos that need to be restored (1 photo). Complete every required field, add optional inputs only when useful, and mark each conditional input as applicable or not applicable.
Review text and output settings
Choose the aspect ratio, resolution, and quality that fit this use case. The generation form shows the available options.
Generate and review
Select “Generate image,” then review the result and open the full-size image. Check it against the detailed requirements below. One image per request.
Do I need to write a prompt?
No prompt needed—upload the required inputs.
Upload the images listed below; you do not need to add a written prompt. You do not need to write generation instructions. Use the form fields to provide the images, exact copy, data, or description requested by this workflow.
Detailed result requirements
Scans of old photos that need to be restored (1 photo)
Scan with high quality and keep the originals.
No universal public standard is available. Check the requirements of the platform or service you will use.
Set the output canvas from the selected platform placement or production template, not from a reference image. Choose the option that matches this request: restored old photos working canvas — 4:3 (recommended). Use a different ratio only when a verified placement or production template requires it. If the platform does not require a fixed aspect ratio, use 4:3 as the recommended working canvas for restored old photos. Compose the subject with appropriate breathing room. Create one aspect-ratio-specific deliverable per request; generate each additional placement as a separate output. Recompose for the selected ratio while preserving the complete subject, all text, and every required safe area. Never stretch the subject or treat cropping important content as adaptation.
No universal public standard is available. Check the requirements of the platform or service you will use.
Non-destructive repair with new layer/mask/Smart Filter.
No universal public standard is available. Check the requirements of the platform or service you will use.
No universal public standard is available. Check the requirements of the platform or service you will use.
No universal public standard is available. Check the requirements of the platform or service you will use.
No universal public standard is available. Check the requirements of the platform or service you will use.
No universal public standard is available. Check the requirements of the platform or service you will use.
Generative completion cannot be called reliable recovery of true historical details.
Official and platform requirements
Photoshop Photo Restoration is in Beta and results may vary.
FAQ
What can I create with this workflow?
Repair a damaged, faded, or scratched old photo. One image per request.
Do I need to write a prompt?
Upload the images listed below; you do not need to add a written prompt. You do not need to write generation instructions. Use the form fields to provide the images, exact copy, data, or description requested by this workflow.
What do I need to upload?
“Scans of old photos to be restored”: 1 image; required. JPG, PNG, and WebP are supported, up to 10 MB per image.
What does one generation produce?
One image per request.
Common search terms
Public evidence and sources
Two directly relevant public sources have been found, and four types of specific constraints have been extracted. The following content only restates information that appears clearly from the source; no filling in of blank fields will be made.
