Workflow Templates

2 nodes2 views

Generate Custom Images from Text Prompts with Stability AI SDXL via Replicate

by Yaron Been

This workflow provides automated access to the Stability Ai Sdxl AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for image generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete image generation process using the Stability Ai Sdxl model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model by stability-ai for automated processing tasks. Key Capabilities High-quality image generation from text prompts** Advanced AI-powered visual content creation** Customizable image parameters and styles** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Stability Ai/sdxl AI model Stability Ai Sdxl**: The core AI model for image generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Image Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Content Creation**: Generate unique images for blogs, social media, and marketing materials Design Prototyping**: Create visual concepts and mockups for design projects Art & Creativity**: Produce artistic images for personal or commercial use Marketing Materials**: Generate eye-catching visuals for campaigns and advertisements Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #imagegeneration #aiart #texttoimage #visualcontent #aiimages #generativeart #sdxl #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

2 nodes1 views

Create Images from Text Prompts using Lorealcantara and Replicate

by Yaron Been

This workflow provides automated access to the Ligua033 Lorealcantara AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Ligua033 Lorealcantara model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Ligua033/lorealcantara AI model Ligua033 Lorealcantara**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

2 nodes2 views

Automate Interview Scheduling and Data Cleanup with Cal.com and Google Sheets

by Abdulaziz

Workflow Description* Automate your candidate interview pipeline with precision. This powerful integration pulls booking data from Cal.com, extracts interview details (name, email, date & time), and syncs them directly into your Google Sheets tracker. It matches applicants using email, formats the date in the Asia/Riyadh timezone, and appends only relevant entries. But it doesn’t stop there — it cleans your sheet automatically by removing unmatched or empty records, ensuring your data stays clean, reliable, and ready for HR decisions. What it does: Fetches interview bookings from Cal.com Converts time to readable format (e.g. 30 June, 09:00 AM) Matches booking emails with existing applicant records Auto-updates interview date in your sheet Detects and deletes irrelevant or blank entries Use Cases: Resume screening workflows that require automated interview sync HR dashboards needing real-time calendar updates Applicant pipelines where only valid interviews should remain Ideal for: Recruiters • HR teams • Automation architects • Remote hiring pipelines

3 nodes67 views

Generate Content with Lemaar Door Urban AI Model via Replicate API

by Yaron Been

This workflow provides automated access to the Creativeathive Lemaar Door Urban AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Creativeathive Lemaar Door Urban model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Creativeathive/lemaar-door-urban AI model Creativeathive Lemaar Door Urban**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

2 nodes1 views

Extract YouTube Channel Videos to Google Sheets with Metadata Tracking

by Agent Circle

This N8N template demonstrates how to use our tool to collect a list of videos from any YouTube channel - including video URLs, titles, descriptions, thumbnail links, publish dates, and more - all saved cleanly into a connected Google Sheet. Use cases are many: Whether you're a YouTube content strategist tracking competitors, a marketing team building dashboards from video metadata, or an automation pro connecting YouTube to downstream workflows, researchers and analysts collecting structured video data at scale, this tool gives you what you need! How It Works The workflow begins when you click Execute Workflow or Test Workflow manually in N8N. It reads the list of full channel URLs, custom channel URLs or channel IDs from the Channel URLs tab in the connected Google Sheet. Only the channels with the Ready status will be processed. A Switch node detects whether the input is a full/custom channel URL, or a raw channel ID, and routes it accordingly. If the input is already a channel ID, the tool prepares the data structure before sending it to the YouTube API call in the next step. If the input is a full channel URL or a custom channel URL, the workflow extracts the username, then sends a HTTP Request to the YouTube API to retrieve the corresponding Channel ID, and prepares the data structure before continuing. Once the valid Channel ID is set, the tool sends a request to YouTube API endpoint to retrieve a list of public videos. By default, the number of videos extracted per channel is limited to 10. The API response is checked for success: If successful, the video data is split into individual entries, cleaned, and added to the Videos tab in the connected Google Sheet. The original rows' status in the Channel URLs tab is marked as Finished. If an error occurs, the rows' status in the Channel URLs tab is marked as Error for later review. How To Use Download the workflow package. Import the workflow package into your N8N interface. Duplicate the YouTube - Get Channel Videos Google Sheet template into your Google Sheets account. Set up Google Cloud Console credentials in the following nodes in N8N, ensuring enabled access and suitable rights to Google Sheets and YouTube services: For Google Sheets access, ensure each node is properly connected to the correct tab in your connected Google Sheet: Node Google Sheets - Get Channel URLs → connected to the Channel URLs tab; Node Google Sheets - Update Data → connected to the Videos tab; Node Google Sheets - Update Data - Success → connected to the Channel URLs tab; Node Google Sheets - Update Data - Error → connected to the Channel URLs tab. For YouTube access, set up a GET method to connect to YouTube API in the following nodes: Node HTTP Request - Get Channel ID; Node HTTP Request - Get Channel Videos. In your connected Google Sheet, enter the full channel URLs, custom channel URLs or channel IDs that you want to crawl and set the rows' status to Ready. Run the workflow by clicking Execute Workflow or Test Workflow in N8N. View the results in your connected Google Sheet: Successful fetches will update the original rows' status to Finished and the videos' information show up in the Videos tab. If any URL or ID fails, the rows' status will be marked as Error. Requirements Basic setup in Google Cloud Console (OAuth or API Key method enabled) with enabled access to YouTube and Google Sheets. How To Customize By default, the workflow is manually triggered in N8N. However, you can automate the process by adding a Google Sheets trigger that monitors new entries automatically. If you want to fetch more video metadata like durations, or view counts, you can expand the HTTP Request and post-processing nodes to include those. The workflow, by default, collects up to 10 videos per channel. If you’d like to fetch more, in the connected Google Sheet, simply enter your desired video number limit in Column C in the Channel URLs tab. The tool will use that value when calling the YouTube API. Need Help? Join our community on different platforms for support, inspiration and tips from others. Website: https://www.agentcircle.ai/ Etsy: https://www.etsy.com/shop/AgentCircle Gumroad: http://agentcircle.gumroad.com/ Discord Global: https://discord.gg/d8SkCzKwnP FB Page Global: https://www.facebook.com/agentcircle/ FB Group Global: https://www.facebook.com/groups/aiagentcircle/ X: https://x.com/agent_circle YouTube: https://www.youtube.com/@agentcircle LinkedIn: https://www.linkedin.com/company/agentcircle

2 nodes9 views

Use any LangChain module in n8n (with the LangChain code node)

by David Roberts

LangChain is a framework for building AI functionality that users large language models. By leveraging the functionality of LangChain, you can write even more powerful workflows. This workflow shows how you can write LangChain code within n8n, including importing LangChain modules. The workflow itself produces a summary of a YouTube video, when given the video's ID. Note that to use this template, you need to be on n8n version 1.19.4 or later.

🤖AI & Machine Learning

2 nodes10879 views

Deduplicate Data Records Using JavaScript Array Methods

by David Olusola

How It Works – Data Deduplication in n8n This tutorial demonstrates how to remove duplicate records from a dataset using JavaScript logic inside n8n's Code nodes. It simulates real-world data cleaning by generating sample user data with intentional duplicates (based on email addresses) and walks you through the process of deduplication step-by-step. The process includes: Creating Sample Data with duplicates. Filtering Out Duplicates using filter() and findIndex() based on email. Displaying Cleaned Results with simple statistics for before-and-after comparison. This is ideal for scenarios like CRM imports, ETL processes, and general data hygiene. ⚙️ Set-Up Steps 🔹 Step 1: Manual Trigger Node: When clicking 'Test workflow' Purpose: Initiates the workflow manually for testing. 🔹 Step 2: Generate Sample Data Node: Create Sample Data (Code node) What it does: Creates 6 users, including 2 intentional duplicates (by email). Outputs data as usersJson with metadata (totalCount, message). Mimics real-world messy datasets. 🔹 Step 3: Deduplicate the Data Node: Deduplicate Users (Code node) What it does: Parses usersJson. Uses .filter() + .findIndex() to keep only the first instance of each email. Logs total, unique, and removed counts. Outputs clean user list as separate items. 🔹 Step 4: Display Results Node: Display Results (Code node) What it does: Outputs structured summary: Unique users Status Timestamp Prepares results for review or downstream use. 📈 Sample Output Original count: 6 users Deduplicated count: 4 users Duplicates removed: 2 users 🎯 Learning Objectives You'll learn how to: Use .filter() and .findIndex() in n8n Code nodes Clean JSON data within workflows Create simple, effective deduplication pipelines Output structured summaries for reporting or integration 🧠Best Practices Validate input format (e.g., JSON schema) Handle null or missing fields gracefully Use logging for visibility Add error handling for production use Use pagination/chunking for large datasets

📈Monitoring & Alerts

1 nodes23 views

Transform data in Google Sheets

by Harshil Agrawal

This workflow appends, lookup, updates, and reads data from a Google Sheet spreadsheet. Set node: The Set node is used to generate data that we want to add to Google Sheets. Depending on your use-case you might have data coming from a different source. For example, you might be fetching data from a WebHook call. Add the node that will fetch the data that you want to add to the Google Sheet. Use can then use the Set node to set the data that you want to add to the Google Sheets. Google Sheets node: This node will add the data from the Set node in a new row to the Google Sheet. You will have to enter the Spreadsheet ID and the Range to specify which sheet you want to add the data to. Google Sheets1 node: This node looks for a specific value in the Google Sheet and returns all the rows that contain the value. In this example, we are looking for the value Berlin in our Google Sheet. If you want to look for a different value, enter that value in the Lookup Value field, and specify the column in the Lookup Column field. Set1 node: The Set node sets the value of the rent by $100 for the houses in Berlin. We pass this new data to the next nodes in the workflow. Google Sheets2 node: This node will update the rent for the houses in Berlin with the new rent set in the previous node. We are mapping the rows with their ID. Depending on your use-case, you might want to map the values with a different column. To set this enter the column name in the Key field. Google Sheets3 node: This node returns the information from the Google Sheet. You can specify the columns that should get returned in the Range field. Currently, the node fetches the data for columns A to D. To fetch the data only for columns A to C set the range to A:C. This workflow can be broken down into different workflows each with its own use case. For example, we can have a workflow that appends new data to a Google Sheet, and another workflow that lookups for a certain value and returns that value. You can learn to build this workflow on the documentation page of the Google Sheets node.

1 nodes4177 views

Create Images from Text Prompts using Alitas2 Model and Replicate

by Yaron Been

This workflow provides automated access to the Alitas126 Alitas2 AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Alitas126 Alitas2 model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Alitas126/alitas2 AI model Alitas126 Alitas2**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

2 nodes

Manipulate PDF with Adobe developer API

by digi-stud.io

Adobe developer API Did you know that Adobe provides an API to perform all sort of manipulation on PDF files : Split PDF, Combine PDF OCR Insert page, delete page, replace page, reorder page Content extraction (text content, tables, pictures) ... The free tier allows up to 500 PDF operation / month. As it comes directly from Adobe, it works often better than other alternatives. Adobe documentation: https://developer.adobe.com/document-services/docs/overview/pdf-services-api/howtos/ https://developer.adobe.com/document-services/docs/overview/pdf-extract-api/gettingstarted/ What does this workflow do The API is a bit painful to use. To perform a transformation on a PDF it requires to Authenticate and get a temporal token Register a new asset (file) Upload you PDF to the registered asset Perform a query according to the transformation requested Wait for the query to be proccessed by Adobe backend Download the result This workflow is a generic wrapper to perform all these steps for any transformation endpoint. I usually use it from other workflow with an Execute Workflow node. Examples are given in the workflow. Example use case This service is useful for example to clean PDF data for an AI / RAG system. My favorite use-case is to extract table as images and forward images to an AI for image recognition / description which is often more accuarate than feedind raw tabular data to a LLM.

🤖AI & Machine Learning

2 nodes3795 views

Track Top Meme Coin Prices with Telegram Bot and CoinGecko API

by Muhammad Zeeshan Ahmad

Platform: n8n (Telegram Bot Integration) Purpose: Let users fetch top meme coin prices in real-time using a simple /memecoin Telegram command How It Works (Logic Breakdown) This flow listens for a Telegram command and fetches data from the CoinGecko API to respond with live memecoin prices. 🔹 1. Telegram Trigger Node Listens for incoming Telegram messages from users. Activated when a message is sent in a Telegram chat connected to the bot. Passes the raw message (e.g., /memecoin) to the next node. 🔹 2. IF Node – Check if Message is /memecoin Condition: {{$json"message"}} === "/memecoin" If true ➝ continue to fetch data from CoinGecko. If false ➝ nothing happens. 🔹 3. HTTP Request – Fetch Meme Coins from CoinGecko API: https://api.coingecko.com/api/v3/coins/markets?...category=meme-token Fetches top 5 meme tokens by market cap. Data includes: Name Symbol Current price (USD) Coin ID (for URL linking) 🔹 4. Function Node – Format the Message Parses the JSON response from CoinGecko. Builds a clean message like: ruby Copy Edit 🚀 Dogecoin (DOGE) 💰 Price: $0.123 🔗 More: https://www.coingecko.com/en/coins/dogecoin Loops through top 5 meme coins and adds line breaks. 🔹 5. Telegram Send Node – Reply to User Sends the formatted message to the original chat. Uses chat_id from the trigger to ensure correct user receives it. 🖼 Sample User Flow 👤 User types /memecoin in Telegram bot 🤖 Bot fetches meme coin prices 📬 Bot replies with live prices + links