Run Hugging Face open-source AI models via webhook in n8n

This workflow connects n8n to the Hugging Face Inference API, letting you run powerful open-source AI models for text generation, summarization, sentiment analysis, translation, and image generation — all fully automated, no GPU setup required. Simply POST a request and get AI-powered results back in seconds. --- What's the Goal? To give developers, agencies, and businesses a plug-and-play automation for running any Hugging Face model without managing infrastructure. Replace expensive proprietary APIs with open-source alternatives that you control. Tasks this workflow handles out of the box: - Text generation (GPT-style content writing) - Summarization (condense long documents) - Sentiment analysis (classify tone of any text) - Translation (multilingual content) - Image generation (text-to-image via Stable Diffusion) --- Why Does It Matter? Hugging Face hosts over 400,000 open-source models — many matching or exceeding the quality of paid APIs at a fraction of the cost. This workflow: - Saves money: free tier available, paid plans start at $9/mo - Gives full control: swap any model by changing one field - Scales instantly: no GPU provisioning or DevOps needed - Works in automation: connects to any n8n trigger or pipeline - Produces billable output: agencies can resell AI services built on this --- How It Works Step 1 — Webhook receives the task request with input text and task type Step 2 — Set node stores your Hugging Face API key and normalizes all inputs Step 3 — Code node selects the right model and builds the correct API payload for the task Step 4 — HTTP Request calls the Hugging Face Inference API with the built payload Step 5 — Code node parses and formats the raw API response into clean structured output Step 6 — Respond node returns the final result as JSON to the caller --- Configuration Requirements - HUGGINGFACEAPIKEY — Get free at huggingface.co/settings/tokens - No other credentials needed for basic usage - Optional: Google Sheets credential for logging (node already included) --- Setup Guide Step 1: Import this workflow into your n8n instance Step 2: Open the Set API Config node and replace YOURHFAPIKEY with your token Step 3: Activate the workflow Step 4: POST to /webhook/hf-runner with your task payload Step 5: Swap models anytime by changing the model field in your request --- Sample Webhook Payload { "task": "summarization", "input": "Your long text goes here...", "model": "", "parameters": {} } Supported Task Values - textgeneration - summarization - sentimentanalysis - translation - imagegeneration Default Models Used - textgeneration → mistralai/Mistral-7B-Instruct-v0.2 - summarization → facebook/bart-large-cnn - sentimentanalysis → distilbert-base-uncased-finetuned-sst-2-english - translation → Helsinki-NLP/opus-mt-en-fr - imagegeneration → stabilityai/stable-diffusion-xl-base-1.0