Workflow Templates

Twitter Virtual AI Influencer Workflow Template This n8n workflow template empowers creators to launch a virtual AI influencer that tweets regularly, engaging audiences with a unique niche, writing style, and inspiration. By automating content creation and posting, it ensures a consistent and natural online presence, tailored to your specific influencer profile. Features Scheduled Posting**: Automates tweet posting every 6 hours, with randomized posting minutes to mimic natural activity. On-Demand Posting**: Offers flexibility with manual trigger options for immediate content sharing. Influencer Profile Configuration**: Customize your virtual influencer by defining a target niche, personal writing style, and sources of inspiration. Content Generation**: Leverages advanced AI to craft tweets that resonate with your audience, aiming for viral engagement. Tweet Validation**: Ensures all generated content adheres to Twitter's character limit, maintaining quality and relevance. Workflow Steps Schedule Posting: Configured to post every 6 hours, this step introduces randomness in posting time to simulate human behavior. Trigger Posting Manually: Provides an option to manually initiate a tweet, offering control over the timing of your content. Configure Influencer Profile: Set up your influencer's niche, style, and inspiration to guide the AI in generating targeted content. Generate Tweet Content: Utilizes a sophisticated AI model to produce engaging tweets based on the configured profile. Validate Tweet: Checks if the generated tweet meets Twitter's length constraints, ensuring all content is ready for posting. Post Tweet: Finalizes the process by sharing the AI-generated tweet to your designated Twitter account. Configuration Notes Niche**: Define a specific area of interest, such as "Modern Stoicism," to focus your influencer's content. Writing Style**: Customize the tone and style of the tweets to reflect a personal touch, enhancing relatability. Inspiration**: Input sources of inspiration, including books and philosophies, to steer the content generation process. Getting Started To deploy this template: Import the workflow into your n8n workspace. Customize the influencer profile settings to match your desired niche, style, and inspiration. Connect your Twitter account through the provided OAuth2 credentials setup. Activate the workflow to start building your virtual influencer's presence on Twitter. Embrace the power of AI to create a distinctive and engaging virtual influencer, captivating your audience with minimal effort.

This workflow was originally presented at the February 2022 n8n Meetup. Requirements In order to use this workflow, you will need the following in place: A configured Baserow account A group in Baserow called User Empowerment Demo A database in the User Empowerment Demo called Office Shopping List Inside the Office Shopping List database, you will need two tables: Shopping List: Column 1 - Single line text column named Item Shopper: Column 1 - Single line text column named Name Column 2 - Email column named Email An email account for sending out alerts Customization To make this workflow work for you, please customize the following items: All Baserow nodes will need to be updated with your own credentials, database, tables and fields The Send Shopping List node will need to be configured with your email credentials and email addresses The Create Shopper Form Set node will need to have the code in the HTML value modified to reflect your Production URL from the Submit Shopper node (See instructions below) The Cron node will need to be modified to reflect the timing that you wish to use Modifying the Webform The webform is the piece that people normally want to customize but is often the most complex because it is raw HTML. Here are some quick tips for making changes to the form. Webform Nodes There are two nodes that control what you see in the form: Create Shopper Form - displays the form and submits it to the correct webhook Create Response Page - displays the results when the form is submitted Editing the Webform The easiest way that I have found to edit the webform is to: Open up the Set node (Create Shopper Form or Create Response Page) that contains the HTML you wish to edit. Copy the contents of the HTML value to your favourite HTML editor Make your changes Paste the updated HTML back into the Set node Changing the Webhook URL the Webform Posts To In order for the webform to work properly, do the following: Determine the Production URL for the Submit Shopper webhook node In the Create Shopper Form node, look for the following line in the HTML value: form action="https://tephlon.app.n8n.cloud/webhook/submit-shopper" method="POST" Replace https://tephlon.app.n8n.cloud/webhook/submit-shopper with your Production URL Changing the Webform Image The image that is in the webform is actually embedded in the HTML in each of the Create Shopper Form or Create Response Page Set nodes and can be modified from there using these steps: Open up the appropriate Set node In the HTML value, find the line that starts with background-image:. It will be followed by a long string that looks like random characters Using a tool like Image to Base64 Converter, upload your image and generate a new CSS background source Replace the original background-image: line (including all the "random" characters) with the new generated CSS background source

This workflow provides automated access to the Black Forest Labs Flux Dev 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 Black Forest Labs Flux Dev 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 black-forest-labs 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 Black Forest Labs/flux-dev AI model Black Forest Labs Flux Dev**: 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 #flux #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

This workflow provides automated access to the Paigedutcher2 Paige 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 Paigedutcher2 Paige 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: "Custom AI model trained on Paige — bold, curvy, confident energy. Think Barbie meets boss. Great for glam, fantasy, seductive, and influencer-style prompts. Use trigger word CharacterPGE to activa... Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Artistic style control and customization** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Paigedutcher2/paige AI model Paigedutcher2 Paige**: 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

This n8n template from Intuz provides a complete and automated solution for transforming a static product image and a creative idea into a dynamic, AI-generated video ad. Using Google's state-of-the-art Veo 3 model, this workflow manages the entire creative process from concept to a final, downloadable video file. Who's this workflow for? E-commerce Brands & Marketers Advertising Agencies Social Media Content Creators Product Managers How it works 1. Submit a Creative Brief: The workflow starts when a user submits a creative idea via a simple web form (e.g., "A Pepsi can exploding into a vibrant disco party"). 2. Upload a Product Image: The user is then prompted to upload a corresponding image (e.g., a high-quality photo of the Pepsi can). 3. Log the Project in Airtable: The idea and the uploaded image are saved to an Airtable base, which acts as the central tracking system for all video generation projects. 4. AI Creative Analysis: Google Gemini analyzes both the user's text prompt and the uploaded image. It acts as an "AI Creative Director," generating a detailed video brief that reinterprets the static image according to the user's creative vision. 5. Generate Video with Veo 3: The detailed creative brief is sent to Google's Veo 3 AI video generation model. The workflow initiates a long-running task to create the video. 6. Retrieve the Final Video: After a brief waiting period, the workflow polls the Veo 3 API to retrieve the finished video, converts it into a binary file, and makes it available for download directly from the n8n execution log. Key Requirements to Use This Template n8n Instance & Required Nodes: An active n8n account (Cloud or self-hosted). This workflow uses the official n8n LangChain integration (@n8n/n8n-nodes-langchain). If you are using a self-hosted version of n8n, please ensure this package is installed. Google Cloud Account: A Google Cloud Project with the Vertex AI API enabled. You must have access to both the Gemini and Veo 3 models within your project. You will need a Gemini API Key and a Google OAuth2 Credential configured for the Vertex AI scope. Airtable Account: An Airtable base with a table set up to track the video projects. It should have columns for Image Prompt, Image (Attachment), Video (Attachment/URL), and Status. Setup Instructions 1. Airtable Configuration (Crucial): In the Create a record, Get a record, and Update record nodes, connect your Airtable credentials and update the Base ID and Table ID to match your setup. In the Uploading Image in Airtable (HTTP Request) node, you must edit the URL and the "Authorization" header to include your Base ID, Table ID, and Personal Access Token. 2. Google AI Configuration (Gemini & Veo): In the Analyze image (Google Gemini) node, select your Gemini API credentials. In both the Generate Video Veo 3 and Get the the Video (HTTP Request) nodes: You must replace [Project ID] and [Location] in the URLs with your own Google Cloud Project ID and region (e.g., us-central1). Select your Google OAuth2 credentials for authentication. 3. Customize Video Parameters (Optional): In the Parse Request (Code) node, you can modify the JavaScript code to change video generation settings like aspectRatio, durationSeconds, and resolution. 4. Execute the Workflow: Activate the workflow. Open the Form URL from the Prompt your Idea node to start the process. Sample Videos Connect with us Website: https://www.intuz.com/services Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz For Custom Workflow Automation Click here- Get Started

This workflow will archive empty pages in your Notion databases, Add your n8n integration to the Notion databases that you want to process. To configure this workflow set the Notion credentials in the 4 Notion nodes and if needed change the time in the Cron node, The default is to run at 2am every day.

This workflow provides automated access to the Stability Ai Stable Video Diffusion 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 video generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete video generation process using the Stability Ai Stable Video Diffusion 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 AI-powered video generation and processing** High-quality video synthesis from inputs** Advanced video manipulation capabilities** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Stability Ai/stable-video-diffusion AI model Stability Ai Stable Video Diffusion**: The core AI model for video 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 Video Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Video Content Creation**: Generate videos for social media, marketing, and presentations Animation & Motion Graphics**: Create animated content and visual effects Video Editing**: Enhance and transform existing video content Educational Content**: Produce instructional and explainer videos 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 #videogeneration #aivideo #videoai #motion #videoautomation #videocreation #stablediffusion #diffusion #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

> Like this template? Connect with Eduard via LinkedIn. This workflow is a prototype of an AI-powered image editing interface, similar to Photoshop's Generative Fill feature, but running entirely in the browser. It provides a web-based editor that allows users to: Select areas in images using an adjustable brush tool Input text prompts to guide the AI generation Compare original and generated images side by side Iterate on edits with different prompts and settings Save or reuse generated images > 🎨 Perfect for product catalog management, seasonal content updates, and creative image editing tasks! 📋 Requirements FLUX API Access: You'll need API credentials from FLUX to use this workflow. Configure the HTTP Header Auth credential in n8n with your FLUX API key 🔧 Key Components FLUX Fill API for AI-powered image generation Konva.js for canvas manipulation img-comparison-slider for result visualization Custom CSS/JS for editor functionality Simple Editor Interface HTML page with an editor is served on the Webhook call Adjustable brush selection tool Provides several mock examples and allows uploading custom images Basic prompt and FLUX model parameter controls Image Processing Pipeline Handles image and mask separately Processes FLUX Fill API requests Delivers results back to the editor Result Viewer Split-screen comparison of original and generated images Interactive slider for before/after comparison Options to save or continue editing Support for multiple iteration cycles 🎯 Use Cases This prototype is particularly useful for: Testing AI-powered image editing concepts Quick product visualization experiments Exploring creative image variations Demonstrating inpainting capabilities > 💡 Pro Tip: Save masks for frequently edited areas to quickly generate variations with different prompts! The workflow can be extended to integrate with various data sources and can be customized for specific business needs.

This workflow provides automated access to the Notdaniel Voxtral Small 24B 2507 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 audio generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete audio generation process using the Notdaniel Voxtral Small 24B 2507 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: Voxtral Small is an enhancement of Mistral Small 3 that incorporates state-of-the-art audio input capabilities and excels at speech transcription, translation and audio understanding. Key Capabilities AI-driven audio generation and processing** High-quality sound synthesis** Advanced audio manipulation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Notdaniel/voxtral-small-24b-2507 AI model Notdaniel Voxtral Small 24B 2507**: The core AI model for audio 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 Audio Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Music Production**: Generate background music and audio tracks Podcast Enhancement**: Create intro/outro music and sound effects Audio Content**: Produce voiceovers and audio narration Sound Design**: Generate custom audio for games and applications 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 #audiogeneration #aiaudio #soundgeneration #musicai #audioautomation #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

Overview The Get Bible Query Workflow is a modular and self-standing workflow designed to retrieve scriptures dynamically based on structured input. It serves as an intermediary layer that extracts references, queries the GetBible API, and returns scriptures in a standardized JSON format. This workflow is fully prepared for integration—simply call it from another workflow with the required JSON input, and it will return the requested scripture data. Who Is This For? This workflow is ideal for developers, Bible study apps, research tools, and dynamic scripture-based projects that need seamless access to scriptural content without direct API interaction. ✅ Use Cases: Bible Study Apps** → Embed scripture retrieval functionality. Research & Theology Tools** → Fetch structured verse data. Dynamic Content Generation** → Integrate real-time scripture references. Sermon Preparation** → Automate scripture lookups. How It Works Trigger Workflow → This workflow is designed to be called from another workflow with a structured JSON input. Receive Input → Accepts a JSON object containing references, translation, and API version. Extract References → Parses single verses, comma-separated lists, and ranged passages. Query API → Sends structured requests to the GetBible API. Format Response → Returns structured JSON output, maintaining API response consistency. JSON Input Structure References** → Should include the book name, chapter, and verse(s). Multiple Verses** → Separated by commas (e.g., John 3:16,18). Verse Ranges** → Defined with a dash (e.g., John 3:16-18). Translation** → Choose from the supported translations. API Version** → Currently supports v2. Example JSON Input { "references": [ "1 John 3:16", "Jn 3:16", "James 3:16", "Rom 3:16" ], "translation": "kjv", "version": "v2" } Example API Response { "result": { "kjv_62_3": { "translation": "King James Version", "abbreviation": "kjv", "book_name": "1 John", "chapter": 3, "ref": ["1 John 3:16"], "verses": [ { "chapter": 3, "verse": 16, "name": "1 John 3:16", "text": "Hereby perceive we the love of God, because he laid down his life for us: and we ought to lay down our lives for the brethren." } ] } } } 💡 Fully structured and formatted response – ready for seamless integration. Integration and Usage The GetBible Query Workflow is designed for immediate use. Simply call it from another workflow and pass the appropriate JSON object as input, and it will return the requested scripture passages. ✔️ No additional configuration is required. ✔️ Designed for fast, reliable, and structured scripture retrieval. ✔️ Fully compatible with GetBible API responses. Why Use This Workflow? ✔️ Fast & Reliable → Direct API integration for efficient queries. ✔️ Flexible Queries → Supports single, multi-verse, and ranged requests. ✔️ Agent-Compatible → Easily integrates into automated workflows. ✔️ No Code Needed → Just configure the JSON input and run the workflow. Next Steps 🔗 API Support 📖 API Documentation 💬 Need help? Join the community for support! 🚀

This workflow provides automated access to the Black Forest Labs Flux Schnell 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 Black Forest Labs Flux Schnell 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 black-forest-labs 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 Black Forest Labs/flux-schnell AI model Black Forest Labs Flux Schnell**: 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 #flux #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation

Are you looking to create a counseling chatbot that provides emotional support and mental health guidance through the LINE messaging platform ? This guide will walk you through connecting LINE with powerful AI language models like GPT-4 to build a chatbot that supports users in navigating their emotions, offering 24/7 conversational therapy and accessible mental health resources . By leveraging LINE's webhook integration and Azure OpenAI , this template allows you to design a chatbot that is both empathetic and efficient, ensuring users receive timely and professional responses. Whether you're a developer, counselor, or business owner, this guide will help you create a customizable counseling chatbot tailored to your audience's needs. Who Is This Template For? Developers who want to integrate AI-powered chatbots into the LINE platform for mental health applications. Counselors & Therapists looking to expand their reach and provide automated emotional support to clients outside of traditional sessions. Businesses & Organizations focused on improving mental health accessibility and offering innovative solutions to their users. Educators & Nonprofits seeking tools to provide free or low-cost counseling services to underserved communities. How this work? Line Webhook to receive new message Send loading animation in Line Check if the input is text or not Send the text as prompt in chat model (GPT 4o) Reply the message to user (you'll need 'edit field' to format it before reply) Pre-Requisites You have access to the LINE Developers Console. An Azure OpenAI account with necessary credentials. Set-up To receive messages from LINE, configure your webhook: Set up a webhook in LINE Developer Console. Copy the Webhook URL from the Line Chatbot node and paste it into the LINE Console. Ensure to remove any 'test' part when moving to production. The loading animation reassures users that the system is processing their request. Authorize using header authorization Message Handling Use the Check Message Type IsText? node to verify if the incoming message is text. If the message type is text, proceed with ChatGPT processing; otherwise, send a reply indicating non-text inputs are not supported. AI Agent Configuration Define the system message within the AI Agent node to guide the conversation based on desired interaction principles. Connect the Azure OpenAI Chat Model to the AI Agent. Formatting Responses Ensure responses are properly formatted before sending them back to the user. Reply Message Use the ReplyMessage - Line node to send the formatted response. Ensure proper header authorization using Bearer tokens.