Build an Automated Xiaohongshu Content Pipeline in Dify: Topic to Final Post
Following open-source Dify workflow collections, chain topic discovery, title, body, hashtags and image prompts into one pipeline that turns a single topic into a ready-to-post note.
CORE TOOLS
Dify, DeepSeek, Stable Diffusion
BEST FOR
Social media operators, brands, knowledge creators, MCN teams
REQUIREMENTS
A machine that runs Docker; an LLM API key
✦ WHY THIS WORKFLOW
The slowest part of content ops is repeating topic, copy and visuals. A fixed workflow stabilizes quality and doubles output, leaving humans to review and polish.
You are a viral Xiaohongshu note writer. Persona: [e.g. a workplace mentor focused on AI productivity tools].
For the topic "[topic]" output: 1) 5 titles with numbers or contrast; 2) body under 300 characters with a strong 3-line hook, emoji paragraphs and an engagement ending; 3) 8 hashtags; 4) 3 English image prompts.
Avoid absolute claims and exaggeration.
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