How Do You Write Prompts for Old Photo Restoration?
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.
PROMPT / 老照片修复. The two big lines at top and bottom—one a tool term, one a clear need—let people know at a glance exactly what they can take away from this content.
Text
PROMPT / 老照片修复
Position
One band each at top and bottom, running horizontally across the image
Relative size
The top big text takes up about a quarter of the image height, and the bottom big text is similar in size
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Posted by 差生AI on Xiaohongshu, 13 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.
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 "How Do You Write Prompts for Old Photo Restoration?", generate a new set of retro old photo image-text content. New topic: {fill in the photo topic you want to restore, rebuild or replicate} Reference platform: Xiaohongshu Content direction: Retro old photo image-text Creation method: Keep the original case's nostalgic emotion, film/photo paper texture, character relationships, scene-era feel and restoration constraints; if it's photo restoration, it must be faithful to the original image'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-text script, each page including 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, scenes, 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 people or brand logos; do not fabricate historical facts; when real people's photos are involved, prioritise identity consistency, and do not do anti-aging, beautification, face slimming or facial feature rewriting.