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Retro photos · Xiaohongshu 3:4 carousel · potential 8 · Machine-translated

AI Revives Old Photos

Put the cover under the lamp. Each of the five things that made it work is a layer you can switch on: the words, the grid it sits on, the colours it uses, the subject, the light.

Cover of the original post: AI Revives Old Photos
Cover · 1 of 3Original on Xiaohongshu ↗
Layers
Spec sheet

1Hook

. There is no text at all in the image; it relies on the texture of a real old photo to make people stop scrolling.

On-image text
None
Visible character count
0
5 likes 0 saves 0 shares

Posted by 高朋的影像空间 on Xiaohongshu, 28 Apr 2026. Shown with credit and a link back.

Keep all five layers and swap what’s under them: your shop, your budget, your city. You get four covers and the post text.

The prompt, as used

Verbatim. Copy it, or let Queenie swap in your own details.

Referencing the case "AI Revives Old Photos" — its old-photo restoration approach, vintage texture, visual storytelling, and publishing tone — generate a new set of retro old-photo image-text content. New topic: {fill in the photo topic you want to restore, reconstruct, or recreate} Reference platform: Xiaohongshu Content direction: retro old-photo image-text Creation method: keep the original case's nostalgic emotion, film/photo-paper texture, relationships between people, period feel of the scene, and restoration constraints; if it is photo restoration, it must stay faithful to the original image's identity, facial features, composition, and historical context, avoiding excessive beautification, redrawing, false historical information, and a modern digital plastic feel. Please output: 1. Cover title and subtitle; 2. A 6-9 page image-text script, each page including visual description, main copy, era/texture keywords, and a save prompt; 3. Visual prompts that can be used directly for image generation or photo restoration, specifying requirements for people, scene, lighting, film grain, damage repair, and color restoration; 4. Publishing suggestions: title length, tags, image ratio, and platform tone. Constraints: do not replicate the original author, original people, or brand logos; do not fabricate historical facts; when real people's photos are involved, prioritize identity consistency and do not make them younger, beautify, slim the face, or alter facial features.

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