AI photo restoration changed my face: what happened?
If an AI restoration made a relative look too smooth, younger, or simply like someone else, the problem is usually not your photo. It is often the type of AI used to rebuild the missing detail.
Why some AI tools invent faces
Diffusion and other generative image models are designed to create plausible pixels. That can be useful for artwork, but it is risky for family photos because the model may replace uncertain facial detail with a face that only looks statistically likely.
Old scans often have blur, cracks, low resolution, faded contrast, and missing eye or mouth detail. When a generative tool cannot see enough, it may fill the gap with invented skin texture, a different smile, new eyes, or a changed facial shape.
How to tell when a face was changed
- The skin looks polished or plastic compared with the photo.
- The eyes, mouth, teeth, or eyebrows no longer match the scan.
- The expression feels different, even if the image is sharper.
- The person looks younger, more symmetrical, or like a stranger.
- Small identity cues such as ears or hairline have shifted.
How to avoid an altered face
- Start from the original scan instead of an already edited copy.
- Use the highest-resolution scan or photo you have.
- Avoid tools that promise to completely recreate missing faces.
- Compare previews against the original before paying.
- Keep a separate archive copy of the untouched scan.
What conservative restoration does instead
Conservative restoration improves what is already visible. It can sharpen soft detail, reduce damage, balance tone, upscale the image, and add careful color when appropriate, but it should not replace a real person with a newly generated portrait.
VintageRestorer uses restoration-focused models such as CodeFormer, GFPGAN, Real-ESRGAN, and DDColor, not diffusion generation. The practical test is simple: the restored face should still feel like the person in the original photograph.
Preview before you decide
VintageRestorer shows a free watermarked preview first. If the face does not look right, do not pay. If it does, the full download costs DKK 19, includes a 24-hour refund window, and uploaded photos are automatically deleted after 30 days.
Related guides
- How to restore old photos
- Colorize black and white photos
- Fix damaged family photos
- Restore faded photos
- Old photo scanner guide
Try restoration
Upload your original photo and check the free preview before paying.
FAQ
Why did an AI photo tool change the face?
Some tools use diffusion or generative models that rebuild missing detail by predicting what might belong there. When the original scan is soft or damaged, the model can invent smoother skin, different eyes, or a face that no longer feels like the person.
Can an AI-restored face be made accurate again?
Sometimes. The best starting point is the original scan, not the altered output. A conservative restoration can enhance the visible features that remain, but it cannot recover detail that is completely absent from the source.
How can I tell if a restored face was invented?
Compare the preview with the original around the eyes, mouth, jawline, teeth, ears, and hairline. Warning signs include unusually smooth skin, symmetrical features, changed expression, or eyes that look modern but do not match the original person.
How does VintageRestorer avoid changing faces?
VintageRestorer uses conservative restoration models such as CodeFormer, GFPGAN, Real-ESRGAN, and DDColor rather than diffusion image generation. The goal is to restore what is present in the scan, not create a new portrait.
Do I have to pay before seeing the restored face?
No. VintageRestorer shows a free watermarked preview first, so you only pay DKK 19 if the face still looks right. There is also a 24-hour refund window, and uploaded photos are automatically deleted after 30 days.