Identity consistency

How to Preserve a Face and Identity in AI Photo Editing

No prompt can guarantee perfect identity preservation in every generative edit. You can improve consistency by using a strong reference, limiting the requested change, and naming facial and contextual details that must remain fixed.

Edit a portrait
01

Use a suitable reference

Choose a sharp, well-lit image where the face is large enough to inspect. Heavy blur, occlusion, extreme compression, and very small faces provide less reliable identity information.

02

Write an explicit preservation clause

Name facial structure, age, skin tone, expression, hairstyle, pose, clothing, crop, and camera angle when they matter. Then request one controlled background, lighting, or colour change.

  • Do not ask for a new face or a different person
  • Avoid stacking wardrobe, pose, makeup, location, and lens changes
  • Return to the original source for each new branch
03

Review responsibly

Inspect eyes, teeth, ears, hairline, hands, jewellery, and distinguishing features at full size. Only edit people with permission and do not use the result for deceptive impersonation or misleading evidence.

Turn the guidance into a real result

Open the matching Image to Image AI Lab tool, start with the prompt structure above, and review the generated output before use.

Edit a portrait