Generate Xiaohongshu image card series with Python and configurable styles.
npx skills add https://github.com/lucasFR2/LogiSync --skill baoyu-xhs-images-lucasfr2
Please help me install this Agent Skill. Skill: baoyu-xhs-images Source: https://github.com/lucasFR2/LogiSync/tree/main/skills/baoyu-xhs-images Command: npx skills add https://github.com/lucasFR2/LogiSync --skill baoyu-xhs-images-lucasfr2
This Skill automates the creation of visually appealing Xiaohongshu image card series, helping users efficiently produce engaging content for social media platforms.
Use the baoyu-xhs-images skill with the following options: --style [style_name] --layout [layout_name] --palette [palette_name]. For example, to generate a series with the 'cute' style, 'balanced' layout, and 'macaron' palette, run: baoyu-xhs-images --style cute --layout balanced --palette macaron.
High-intent search queries and answers about installing and using this skill.
To generate Xiaohongshu image cards, you provide style, layout, and palette preferences using command options. The tool then automates creation of a visually consistent image series, breaking down content into 1-10 optimized cards for social media engagement.
Xiaohongshu image creation offers 12 visual styles, 8 layouts, and 3 color palettes. These options cater to diverse aesthetic preferences, allowing you to customize output by specifying your chosen style, layout, and palette names.
Yes, you can create a series of image cards from a single piece of content. The tool breaks down complex content into 1-10 cartoon-style image cards, automatically optimizing the series for visual engagement on platforms like Xiaohongshu.
The Xiaohongshu image generator uses Python and various image generation backends. Users need a compatible Python environment to run the provided scripts and execute the generation commands with their specified style, layout, and palette preferences.
You can generate 1-10 image cards for one Xiaohongshu post. The tool breaks down complex content into a series within this range, ensuring the visual design remains consistent across all generated cards in the set.
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