---
title: "Restore Image Prompts: 6 Tested Examples | Made"
description: "Copy 6 tested Restore Image prompts with the actual outputs they produced in Made, plus how to write your own: settings, strengths, and pitfalls."
url: https://www.made.app/models/restore-image/prompts
---

[Models](https://www.made.app/models) / [Restore Image](https://www.made.app/models/restore-image) / Prompts

# Restore Image prompts that actually ran

Every prompt below was generated with Restore Image in Made, and the output next to it is what came back — not a curated stock image. Copy a prompt as a starting point, then use the guide underneath to adapt it.

[Try Restore Image](https://www.made.app/models/restore-image) [Restore Image pricing: 4 credits / image](https://www.made.app/price-sheet/restore-image)

Original results

## Restore Image prompts and their outputs

These examples use media produced for Made. Prompts are included when the production record allows them.

![Aged portrait prepared for restoration in Made](https://www.made.app/images/tools/photo-restoration-hero.jpg)

### Restore an aged portrait

“Repair age damage while preserving the person’s identity and natural texture.”

![Restored family photograph with improved contrast and detail](https://www.made.app/images/use-cases/photo-restoration/family-heirloom.jpg)

### Family heirloom

“Recover contrast and detail without changing the people in the photo.”

![Old photograph with scratches and tears repaired](https://www.made.app/images/use-cases/photo-restoration/scratches-tears.jpg)

### Scratch and tear repair

“Repair the visible scratches and torn areas.”

![Faded print with color and tonal range restored](https://www.made.app/images/use-cases/photo-restoration/faded-prints.jpg)

### Faded print recovery

“Restore faded tones and keep the colors believable.”

![Color recovery example from a Made photo restoration workflow](https://www.made.app/images/features/photo-restoration/color-recovery.jpg)

### Color recovery

“Recover natural-looking color from the aged print.”

![Fine facial and clothing details enhanced in an old photograph](https://www.made.app/images/features/photo-restoration/detail-enhancement.jpg)

### Detail enhancement

“Improve the readable detail while avoiding an artificial plastic finish.”

## How to write a Restore Image prompt

1. **Upload the original**
   Use the highest-quality scan or photo of the print that you have.
2. **Describe the damage**
   Mention fading, scratches, tears, blur, or color loss that should be addressed.
3. **Generate the restoration**
   Keep the Restore Image model selected and start the workflow.
4. **Inspect important details**
   Compare faces, hands, text, and historical details with the source before downloading.

## What Restore Image responds well to

### Prompt for these jobs

- Faded family photographs
- Visible scratches and tears
- Color recovery in aged prints
- Improving legibility of soft details

### Check the output for

- Missing facial or object detail is inferred; the result should not be treated as a historically exact reconstruction.
- Severely obscured regions, very small faces, and heavy motion blur may require manual follow-up work.

Iteration is cheap here: Restore Image costs 4 credits / image, so rewriting a prompt and rerunning it is a normal part of the workflow, not a budget decision. See the [full Restore Image pricing breakdown](https://www.made.app/price-sheet/restore-image).

Questions, answered

## Restore Image prompts FAQ

Need a specific answer? [Contact support](mailto:support@made.app)

### What can Restore Image repair?

It is intended for visible aging such as fading, scratches, tears, and lost contrast, plus general detail enhancement.

### Does Restore Image require a photo?

Yes. This is an image-to-image restoration workflow and requires one source image.

### What format does it return?

Made’s current model configuration returns PNG output.

### Will the result be historically exact?

Not necessarily. AI can infer missing details, so compare important faces, objects, text, and period details with the original.

### Should I scan the print first?

A clean, high-resolution scan generally gives the model more real detail to work with than a dim or angled phone photo.

### When should I use Image Upscaler instead?

Use Image Upscaler when the main problem is low resolution or softness rather than physical damage and fading.

More tested prompts across all models live in the [prompt library](https://www.made.app/prompts), and the full Restore Image capability rundown is on the [model page](https://www.made.app/models/restore-image).

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Markdown version of https://www.made.app/models/restore-image/prompts. Every public Made page has one at its URL plus .md (https://www.made.app/models/restore-image/prompts.md). Site summary for AI assistants: https://www.made.app/llms.txt