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AI Photo Restoration: Restore Old & Damaged Photos in 2026

June 13, 2026By Morphed Team

How to restore old, blurry, scratched, or faded photos with AI — the exact workflow combining upscaling, face enhancement, and prompt repair. Best models, what's realistic, and what it costs.

AI photo restoration combines three steps: super-resolution (rebuild sharpness/detail), face enhancement (reconstruct damaged faces), and prompt editing (remove scratches, tears, stains; colorize). Best models: Topaz Upscale and SeedVR2 with face enhancement, plus Nano Banana/Seedream edits for repairs. Workflow: high-res scan → upscale with face enhancement → prompt-repair → optional colorize, all in one studio. Costs on Morphed: upscale from 3 credits, edits from 1.5, free signup credits, no watermark. Last verified June 2026.

A shoebox of fading prints, a scratched wedding photo, a great-grandparent's portrait gone soft and yellow — these are exactly what AI restoration was made for. In 2026 you don't need Photoshop skills or a restoration service. The same studio that generates and upscales images can rebuild sharpness, repair damage, reconstruct faces, and add color, in a few minutes and a handful of credits.

Here's the workflow that actually works, and what's realistic to expect.

What AI restoration is really doing

"Restoration" is three different jobs stacked together:

  1. Super-resolution — rebuilds detail and sharpness on soft, low-res scans. Modern models generate plausible texture (skin, fabric, hair) rather than just stretching pixels.
  2. Face enhancement — reconstructs blurred or damaged faces specifically, which is where general sharpening fails.
  3. Damage repair — removes scratches, creases, tears, stains, and fills missing regions via prompt-based editing.

Optionally, a fourth: colorization of black-and-white originals.

The reason results look restored and not over-filtered is that each step uses a model built for it, instead of one slider trying to do everything.

The step-by-step workflow

1. Start with the best scan you can

AI can only restore what's in the file. Scan prints at high resolution (600 DPI+ for small photos), in good even light, without phone-camera glare. A better source beats any amount of post-processing.

2. Upscale with face enhancement

Run the scan through the AI upscaler using a model with face enhancement:

  • Topaz Upscale (16 credits) — the quality benchmark, with dedicated face enhancement controls and output well beyond 8K.
  • SeedVR2 (3 credits) — excellent value, strong 4x detail reconstruction.

This single step fixes the most common problem with old photos — softness — and rebuilds faces that scanning left mushy. Our 8K upscaling guide and photo enhancer rankings go deeper on model choice.

3. Repair damage with prompt editing

Now remove the physical damage in the AI image editor:

  • Remove all scratches and creases, keep the photo otherwise identical
  • Repair the torn corner, reconstruct the missing area naturally
  • Remove the yellow stain and water damage, restore even tone

Models like Nano Banana and Seedream 4.5 Edit reconstruct backgrounds and textures convincingly, including across faces and patterned areas.

4. (Optional) Colorize

Bring black-and-white to life:

  • Colorize this photo realistically, natural skin tones
  • Add what you know: the uniform is dark green, the walls are cream

Naming known colors keeps the model from guessing wrong on details that matter to family memory.

5. Fix faded contrast and finish

A final edit pass — restore natural contrast and brightness, remove the yellow age cast — evens out fading. Then download a clean, watermark-free, high-resolution result.

What's realistic — and what isn't

AI restoration is excellent at:

  • Sharpening soft or low-res scans
  • Removing scratches, dust, creases, and stains
  • Reconstructing faces that are soft but present
  • Fixing faded color and contrast
  • Colorizing black-and-white

It has limits:

  • It can't invent information that was never captured. A face that's a featureless blur gets a plausible reconstruction, not a guaranteed-accurate one.
  • Heavy damage may need a few attempts — generate two or three and keep the most faithful.
  • Severely degraded text (names, dates on the photo) may be reconstructed approximately, so verify anything important.

What it costs

On Morphed (1 credit ≈ $0.01), a full restoration is typically:

  • Upscale + face enhancement: 3 credits (SeedVR2) or 16 (Topaz)
  • Damage repair: 1.5–4 credits per edit pass
  • Colorization: 1.5–4 credits

So a complete restore runs roughly 5–25 credits depending on model choice — and free signup credits cover your first restorations with no card and no watermark.

One studio, the whole pipeline

The reason to do this in one place is quality: every export-and-reimport between separate tools risks recompression and lost detail. In Morphed, the scan flows from upscaler to editor to colorize without ever leaving the workspace — and you can even animate a restored portrait into a gentle living photo.

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