Nihuang | RED Series Generator
Nihuang | RED Series Generator
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Description
Break down content into a series of 1-10 Xiaohongshu-style cartoon infographics. Supports 9 visual styles (cute, fresh, warm, retro, etc.) and 6 layout densities (sparse, balanced, dense, list, contrast, flow), automatically analyzes content structure to generate a cohesive series of images suitable for Xiaohongshu publishing.
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Xiaohongshu Infographic Generator
Break down your content into 1–10 cartoon-style infographics, with a two-dimensional system of styles and layouts. 9 visual styles (cute, fresh, warm, bold, minimal, retro, pop, notion, chalkboard) × 6 layout modes (sparse, balanced, dense, list, comparison, flow). Perfect for sharing on Xiaohongshu and other social platforms.
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.

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.
Information
- Version
- v1
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto