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.
AI 生成. This small line of text in the corner directly states that the image is an AI product, which instead sparks curiosity about "what old photos can be restored into."
Posted by 李伊利🍼 on Xiaohongshu, 18 Oct 2025. 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.
Refer to the case study "When I Use AI to Restore My Parents' Old Photos🌹" for its old photo restoration approach, vintage texture, visual storytelling, and publishing tone, and generate a new set of vintage old-photo image-text content. New topic: {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-specific scene feel, and restoration constraints; if it is photo restoration, it must be faithful to the original image's identity, facial features, composition, and historical context, avoiding excessive beauty filters, 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, with each page containing the visual description, main copy, era/texture keywords, and 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 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, apply beauty filters, slim faces, or rewrite facial features.
