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Retro photos · Xiaohongshu 3:4 carousel · potential 79 · Machine-translated

AI Gives Old Photos New Life: Childhood Memories

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: 旧照片 / AI视频
Cover · 1 of 1Original on Xiaohongshu ↗
Layers
Spec sheet

1Hook

旧照片 / AI视频. Two contrasting labels place "before restoration" and "after AI restoration" side by side, so viewers instantly understand the before-and-after difference and want to scroll down to see it in motion.

Text
旧照片 / AI视频
Position
One line in the top-left of each panel
Relative size
Character height is about 5% of a single panel's height
12K likes 2.7K saves 760 shares

Posted by AI科技 on Xiaohongshu, 24 Jun 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.

Referring to the old photo restoration approach, era texture, visual storytelling, and publishing tone of the case study "AI Gives Old Photos New Life: Childhood Memories," generate a new set of vintage old-photo image-text content. New topic: {fill in the photo topic you want to restore, rebuild, or recreate} Reference platform: Xiaohongshu Content direction: vintage old-photo image-text Creation method: retain the nostalgic emotion, film/photo-paper texture, character relationships, era feel of the scene, and restoration constraints of the original case; 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, explaining requirements for characters, scene, lighting, film grain, damage repair, and color restoration; 4. Publishing suggestions: title length, tags, image aspect 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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