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.
团结守纪 / 求实开拓. Two large lines of text run across the top of the image, like a slogan on an old classroom wall — one glance and you recognize the era and the scene.
Text
团结守纪 / 求实开拓
Position
Arranged horizontally along the top edge of the image
Relative size
The largest text in the whole image
♥ 14 likes★ 2 saves↗ 20 shares
Posted by out of memory 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.
Referring to the case "gpt-image2 is pretty strong 🤯" — its old photo restoration approach, vintage texture, visual storytelling and posting tone — generate a new set of retro old photo image-text posts. New theme: {fill in the photo theme 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, relationships between people, period feel of the scene and restoration constraints of the original case; if it is photo restoration, it must stay faithful to the identity, facial features, composition and historical context of the original image, avoiding over-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, period/texture keywords and a save prompt; 3. Visual prompts that can be used directly for image generation or photo restoration, explaining 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 recreate the original author, original people or brand logos; do not fabricate historical facts; when real people's photos are involved, prioritize identity consistency, and do not make them younger, beautify, slim the face or alter facial features.