This workflow is for beauty salons who want consistent, high‑quality social media content without writing every post manually. It also suits agencies and automation builders who manage multiple beauty
This workflow is designed for marketers, content creators, agencies, and solo founders who want to publish long‑form posts with visuals on autopilot using n8n and AI agents.
Who Is This For?
Dag Inference. Uses chainLlm, lmOpenHuggingFaceInference. Event-driven trigger; 16 nodes.
Stickynote. Uses stickyNote, chatTrigger, chainLlm, lmOpenHuggingFaceInference. Chat trigger; 4 nodes.
This workflow demonstrates how to connect an open-source model to a Basic LLM node.
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FAQ
How many n8n Lmopenhuggingfaceinference workflows are in the catalog?
6 n8n workflows in AutomationFlows currently use the Lmopenhuggingfaceinference integration — triggers, actions, or both.
How do I connect Lmopenhuggingfaceinference in n8n?
After importing the workflow JSON, n8n will prompt for Lmopenhuggingfaceinference credentials on the relevant nodes. AutomationFlows strips credential IDs before publishing — you'll add your own.
Can I combine these with other integrations?
Yes — most Lmopenhuggingfaceinference workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.