Image generated by gpt image2 (image tutorial on homepage)
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.
价目表 上网 5元/小时. The prices on the whiteboard instantly pull people back to the old internet cafes billed by the hour; one glance at the scene makes them want to tap in.
Text
价目表 上网 5元/小时
Position
On the white board in the upper right of the image
Relative size
The largest text block in the image
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Posted by 三叶 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 old photo restoration approach, era texture, visual storytelling and posting tone of the case study "Image generated by gpt image2 (image tutorial on homepage)", 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 Creation method: keep the nostalgic emotion, film/photo paper texture, character relationships, era feel of the scene and restoration constraints of the original case; if it is photo restoration, it must stay faithful to the original image's identity, facial features, composition and historical context, avoiding excessive beauty filters, 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 scene 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 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 characters or brand logos; do not fabricate historical facts; when real people's photos are involved, prioritize identity consistency, and do not do rejuvenation, beauty filters, face slimming or facial feature rewriting.