Xiaohongshu Long Text to Image
Xiaohongshu Long Text to Image
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Description
Enter the content of your knowledge notes, and automatically generate high-quality minimalist long images in Xiaohongshu's 3:4 aspect ratio. Workflow: content parsing → layout design confirmation → paginated image generation.
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Xiaohongshu Image Generator
Automatically break down an article and generate 4-6 vertical infographics in Xiaohongshu style. Supports 3 styles: Rich Visual (illustration narrative), Dark Premium (business minimalism), Text Minimal (luxury white space). Automatically analyzes article structure, distinguishes cover pages from content pages, generates matching images in batches, and inserts them at the end of the article.
Article to RedNote Graphic 2.0
Intelligently analyze article content, automatically determine the appropriate visual style (minimalist narrative / tool manual / tech seeding), and generate a complete series of RedNote images. Supports three professional design styles, from content breakdown to image generation in one go.
ImageVisual Artist - XHS/DY/PPT
Turn long text into a series of images suitable for Douyin and Xiaohongshu with one click. Just provide your article, notes, or script; it will confirm information density, number of images, publishing platform, visual style, and account attribution, then automatically break down the content, generate storyboard scripts, and first produce a sample of the first image for your confirmation. Built-in templates include paper cutting, new fauvism, technical blueprint, information map, monograph, isometric map, stop-motion frame, and more, to quickly maintain a consistent style across the entire set of images. Suitable for knowledge bloggers, product operators, social media teams, and content creators, turning complex ideas into easier-to-read and more visually appealing graphic cards. Finally, output a complete image set and compressed package, transforming content production from 'editing and layout' into a clear, stable automated process.
Information
- Version
- v1
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
