Old Photo Restoration: Repair Damaged Snapshot to Clear Reality AI Image Prompt
Using the provided reference image, refine and restore the old damaged photo into a clean, realistic original snapshot. Remove all cracks, creases, scratches, faded discoloration, stains, and paper damage, and reconstruct any missing or obscured areas naturally. Preserve the same child, facial identity, joyful laughing expression, hairstyle with pigtails, yellow flowers beside both ears, checkered floral dress with white collar, pose, close portrait framing, and outdoor background. Convert the aged pinkish tint into natural color, sharpen details, improve lighting and contrast, and make the result look like an authentic modern film photograph rather than an illustration. Do not change the subject’s age, clothing design, composition, or expression; do not add extra people, text, borders, or watermark.
Content: Subject: child (face, expression, pigtails, yellow flowers, checkered floral dress with white collar); Scene: outdoor; Framing: close portrait; Style: realistic modern film photo; Lighting: improved light & contrast; Color: natural; Texture: clear, no damage; Relies on reference image.
Pros: Explicitly preserves original subject features, preventing AI alteration; Emphasizes natural color and realistic film texture.
Cons: Many restoration details, high demand on AI capability; Highly dependent on reference image, cannot execute without it.
Reference image: Clearly relies on reference image
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