1Hook
RunningHub AI生成. The AI-generated text in the upper left directly identifies the tool, sparking curiosity.
- Text
- RunningHub AI生成
- Position
- Upper left
- Relative size
- About one third of the image width
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.

RunningHub AI生成. The AI-generated text in the upper left directly identifies the tool, sparking curiosity.
Posted by 你的叔.pic on Xiaohongshu, 31 Dec 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.
Referencing the case study "That gaze... truly a veteran actor!" — its old photo restoration approach, vintage texture, visual storytelling, and posting tone — generate a new set of retro old-photo image-text content. New theme: {fill in the photo theme you want to restore, rebuild, or recreate} Reference platform: Xiaohongshu Content direction: retro old-photo image-text Creative method: keep the original case's nostalgic emotion, film/photo-paper texture, character relationships, era-specific scene feel, and restoration constraints; if it's 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 a modern digital plastic feel. Please output: 1. Cover title and subtitle; 2. A 6-9 page image-text script, each page containing a visual description, main copy, era/texture keywords, and a save prompt; 3. Visual prompts ready for direct use in 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 marks; 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 rewrite facial features.