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.
使用 images2.0给我生成一张2006年中国大年三十晚上. Throwing an AI generation instruction directly out as the title makes viewers immediately want to scroll down and see how real the final result actually looks.
Posted by 小李不会投篮 on Xiaohongshu, 23 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 "Seeing Isn't Always Believing" for its old-photo restoration approach, vintage texture, visual storytelling, and posting tone, generate a new set of retro old-photo image-and-text content. New topic: {fill in the photo topic you want to restore, reconstruct, or replicate}. Reference platform: Xiaohongshu. Content direction: retro old-photo image-and-text. Creative method: keep the original case's nostalgic emotion, film/photo-paper texture, character relationships, period scene feel, and restoration constraints; if it's photo restoration, it must stay faithful to the original subject'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-and-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 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 preserving identity consistency, and do not make them younger, beautify, slim the face, or rewrite facial features.
