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Retro photos · Xiaohongshu 3:4 carousel · potential 21 · Machine-translated

AI Restores 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 Restores Old Photos,
Cover · 1 of 5Original on Xiaohongshu ↗
Layers
Spec sheet

1Hook

. A plain old photo with no caption makes people want to tap in and see who is behind it and what it looks like after restoration.

Text
There is no text at all in the image
Information
Everything is conveyed by the photo itself
9 likes 5 saves 0 shares

Posted by ༺鱼༻ on Xiaohongshu, 10 Dec 2024. 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 Restores Old Photos," use its old-photo restoration approach, vintage texture, visual storytelling, and posting tone to generate a new set of retro old-photo image-text posts. New topic: {fill in the photo subject you want to restore, rebuild, or replicate} 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, era-specific scene feel, 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 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 save prompt; 3. Visual prompts that can be used directly for image generation or photo restoration, explaining requirements for people, scene, lighting, film grain, damage repair, and color restoration; 4. Posting 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 rewrite facial features.

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