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Retro photos · Xiaohongshu 3:4 carousel · potential 45 · Machine-translated

Can AI really replace humans? 🎨🌈

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: Menu
Cover · 1 of 6Original on Xiaohongshu ↗
Layers
Spec sheet

1Hook

Menu. The only text lands on the red menu card, like a suspense prop, making people want to tap in and see what happened at this dinner gathering.

Text
Menu
Position
The menu card standing on the left side of the dining table
Relative size
The smallest and only text in the image
70 likes 38 saves 4 shares

Posted by Retro复古插画档案 on Xiaohongshu, 2 May 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 old photo restoration approach, era texture, visual storytelling and publishing tone of the case study "Can AI really replace humans? 🎨🌈", generate a new set of vintage old-photo image-text posts. New theme: {fill in the photo theme you want to restore, rebuild or recreate} Reference platform: Xiaohongshu Content direction: vintage old-photo image-text Creation method: keep the original case's nostalgic emotion, film/photo paper texture, character relationships, era 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 containing a 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 characters, scene, lighting, film grain, damage repair and colour restoration; 4. Publishing suggestions: title length, tags, image ratio and platform tone. Constraints: do not replicate the original author, original characters or brand logos; do not fabricate historical facts; when real people's photos are involved, prioritise identity consistency, and do not make them younger, beautify, slim the face or rewrite facial features.

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