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.
KFC. The red background with white text storefront sign is the largest text in the image, grabbing attention at a glance and making people wonder what year this photo was taken.
Posted by 一口叨叨酥皮鸭 on Xiaohongshu, 24 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.
Verbatim. Copy it, or let Queenie swap in your own details.
Referencing the case study "Is GPT image 2 Real or Fake?"—its old photo restoration approach, period texture, visual storytelling and posting tone—generate a new set of retro old-photo image-text posts. New topic: {fill in the photo topic you want to restore, rebuild or recreate} Reference platform: Xiaohongshu Content direction: retro old-photo image-text Creation method: keep the original case's nostalgic mood, film/photo-paper texture, relationships between people, period feel of the scene and restoration constraints; for photo restoration, you must stay faithful to the original subject's identity, facial features, composition and historical context, avoiding over-beautification, redrawing, false historical information and a modern digital plastic look. Please output: 1. Cover title and subtitle; 2. A 6-9 page image-text script, each page including a visual description, main copy, period/texture keywords and a save prompt; 3. Visual prompts ready for image generation or photo restoration, specifying requirements for people, scene, lighting, film grain, damage repair and colour restoration; 4. Posting suggestions: title length, tags, image aspect ratio and platform tone. Constraints: do not replicate the original author, original people or brand marks; do not fabricate historical facts; when real people's photos are involved, prioritise identity consistency—no making them younger, no beautification, no face slimming, no altering facial features.
