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.
福. The only red diamond with black characters on a white wall — you recognise the festive feel at a glance, making people stop at once and think of their own family reunion dinner.
Posted by KAikk on Xiaohongshu, 22 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 "Two AI-generated images from the same prompt — which one do you approve of?", use its old photo restoration approach, vintage texture, visual storytelling and posting tone to generate a new set of retro old-photo image-text content. New topic: {fill in the photo topic you want to restore, rebuild or recreate} Reference platform: Xiaohongshu Content direction: retro old-photo image-text Creative method: keep the original case's nostalgic emotion, film/photo-paper texture, relationships between people, sense of the era in 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 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, explaining the requirements for people, scene, lighting, film grain, damage repair and colour 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, prioritise identity consistency, and do not make them younger, beautify, slim the face or rewrite facial features.
