Auto-create TikTok videos with VEED.io AI avatars, ElevenLabs & GPT-4
💥 Viral TikTok Video Machine: Auto-Create Videos with Your AI Avatar --- 🎯 Who is this for? This workflow is for content creators, marketers, and agencies who want to use Veed.io’s AI avatar technology to produce short, engaging TikTok videos automatically. It’s ideal for creators who want to appear on camera without recording themselves, and for teams managing multiple brands who need to generate videos at scale. --- ⚙️ What problem this workflow solves Manually creating videos for TikTok can take hours — finding trends, writing scripts, recording, and editing. By combining Veed.io, ElevenLabs, and GPT-4, this workflow transforms a simple Telegram input into a ready-to-post TikTok video featuring your AI avatar powered by Veed.io — speaking naturally with your cloned voice. --- 🚀 What this workflow does This automation links Veed.io’s video-generation API with multiple AI tools: Analyzes TikTok trends via Perplexity AI Writes a 10-second viral script using GPT-4 Generates your voiceover via ElevenLabs Uses Veed.io (Fabric 1.0 via FAL.ai) to animate your avatar and sync the lips to the voice Creates an engaging caption + hashtags for TikTok virality Publishes the video automatically via Blotato TikTok API Logs all results to Google Sheets for tracking --- 🧩 Setup Telegram Bot Create your bot via @BotFather Configure it as the trigger for sending your photo and theme Connect Veed.io Create an account on Veed.io Get your FAL.ai API key (Veed Fabric 1.0 model) Use HTTPS image/audio URLs compatible with Veed Fabric Other APIs Add Perplexity, ElevenLabs, and Blotato TikTok keys Connect your Google Sheet for logging results --- 🛠️ How to customize this workflow Change your Avatar: Upload a new image through Telegram, and Veed.io will generate a new talking version automatically. Modify the Script Style: Adjust the GPT prompt for tone (educational, funny, storytelling). Adjust Voice Tone: Tweak ElevenLabs stability and similarity settings. Expand Platforms: Add Instagram, YouTube Shorts, or X (Twitter) posting nodes. Track Performance: Customize your Google Sheet to measure your most successful Veed.io-based videos. --- 🧠 Expected Outcome In just a few seconds after sending your photo and theme, this workflow — powered by Veed.io — creates a fully automated TikTok video featuring your AI avatar with natural lip-sync and voice. The result is a continuous stream of viral short videos, made without cameras, editing, or effort. --- ✅ Import the JSON file in n8n, add your API keys (including Veed.io via FAL.ai), and start generating viral TikTok videos starring your AI avatar today! 🎥 Watch This Tutorial --- 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube
By Dr. FirasListen on new emails on a IMAP mailbox
Listen on new emails on a given IMAP mailbox. Converts the binary XML attachment to a stringified xmlproperty on the $data object and converts it to JSON. The Setnode could be replaced with Function nodes for example to do a conversion/mapping/transformation. The JSON is ultimately sent to a HTTP Endpoint via POST. > This could be a starter for EDI purposes like receiving or transmitting XML data and conversion via JSON object property mapping.
By mailSimple lead capture and follow-on with n8n multi-forms
This n8n template demonstrates the easiest way to build a lead capture flow for your side project, startup or small business where simple works best! If Typeform's costs are getting you down or you feel Google form URLs are off-putting, then definitely give this a try. How it works Our flow begins with a form trigger to capture a newsletter signup and the user's email is captured into a google sheet. Google Sheet is used for demonstration purposes but this could be any database. Multi-page forms allow you to continue the onboarding experience with a short survey. 3 form nodes are chained to capture more details from the user which update the same row in the google sheet. Finally, a form ending node shows a customised completion screen for our user. Check out the example sheet here: https://docs.google.com/spreadsheets/d/15W1PiFjCoiEBHHKKCRVMLmpKg4AWIy9w1dQ2Dq8qxPs/edit?usp=sharing How to use Keeping forms simple may serve to increase form completion rates. If you feel the need to add additional fields, consider breaking them up into more forms and group them contextually. Requirements Google Sheets for data capture Slack for notifications Feel free to swap these out for services that you use! Customising this workflow Play with multi-form design to maximise the opportunity of getting to know the user better. That said, lengthy flows are likely to put people off. Instead of showing a static completion screen, perhaps redirecting to your blog or other more interesting page.
By JimleukGenerate videos from text descriptions using Wan 2.2 T2V Fast and Replicate
This workflow provides automated access to the Wan Video Wan 2.2 T2V Fast 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 Wan Video Wan 2.2 T2V Fast 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: A very fast and cheap PrunaAI optimized version of Wan 2.2 A14B text-to-video Key Capabilities AI-powered video generation and processing High-quality video synthesis from inputs Advanced video manipulation capabilities Fast, optimized processing for quick results Tools Used n8n: The automation platform that orchestrates the workflow Replicate API: Access to the Wan Video/wan-2.2-t2v-fast AI model Wan Video Wan 2.2 T2V Fast: 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 machinelearning artificialintelligence aitools automation digitalart contentcreation productivity innovation
By Yaron BeenDeploy Docker n8n, API backend for WHMCS/WISECP
Setting up n8n workflow Overview The Docker n8n WHMCS module uses a specially designed workflow for n8n to automate deployment processes. The workflow provides an API interface for the module, receives specific commands, and connects via SSH to a server with Docker installed to perform predefined actions. Prerequisites You must have your own n8n server. Alternatively, you can use the official n8n cloud installations available at: n8n Official Site Installation Steps Install the Required Workflow on n8n You have two options: Option 1: Use the Latest Version from the n8n Marketplace The latest workflow templates for our modules are available on the official n8n marketplace. Visit our profile to access all available templates: PUQcloud on n8n Option 2: Manual Installation Each module version comes with a workflow template file. [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741970282211.png) You need to manually import this template into your n8n server. [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741284912356.png) n8n Workflow API Backend Setup for WHMCS/WISECP Configure API Webhook and SSH Access Create a Basic Auth Credential for the Webhook API Block in n8n. [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741285064715.png) [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741284983806.png) [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741285036996.png) Create an SSH Credential for accessing a server with Docker installed. [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741285118412.png) [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741285147192.png) [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741285198822.png) Modify Template Parameters In the Parameters block of the template, update the following settings: [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741285369145.png) [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741285412110.png) server_domain – Must match the domain of the WHMCS/WISECP Docker server. clients_dir – Directory where user data related to Docker and disks will be stored. mount_dir – Default mount point for the container disk (recommended not to change). Do not modify the following technical parameters: screen_left screen_right Deploy-docker-compose In the Deploy-docker-compose element, you have the ability to modify the Docker Compose configuration, which will be generated in the following scenarios: When the service is created When the service is unlocked When the service is updated [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741875704524.png) [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741875734754.png) nginx In the nginx element, you can modify the configuration parameters of the web interface proxy server. The main section allows you to add custom parameters to the server block in the proxy server configuration file. The main\_location section contains settings that will be added to the location / block of the proxy server configuration. Here, you can define custom headers and other parameters specific to the root location. [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741875960357.png) [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741875978450.png) Bash Scripts Management of Docker containers and all related procedures on the server is carried out by executing Bash scripts generated in n8n. These scripts return either a JSON response or a string. All scripts are located in elements directly connected to the SSH element. You have full control over any script and can modify or execute it as needed. [](https://doc.puq.info/uploads/images/gallery/2025-03/image-1741876353319.png)
By PUQcloudFacebook ads reporting automation with Facebook Graph API and Google Sheets
Facebook Ads Reporting Automation — Automatically Fetch & Sync Campaign Statistics This automation enables you to automatically fetch daily campaign data from Facebook Ads without manual exports. It requires connection to the Facebook Graph API and a Google Sheets account where all data is stored and updated in real time. How does it work? The workflow connects to your Facebook Ads account via the Facebook Graph API to retrieve the latest campaign data, including campaign status, spend, results, reach, and other key performance metrics. Retrieved data is automatically synced to a Google Sheets spreadsheet, making it easy to analyze, report, and share with your team or clients. The automation runs daily at a scheduled time, ensuring your campaign stats are always up-to-date. What can you use it for? Efficiently track Facebook Ads performance without manual data handling. Generate real-time reports for marketing teams or clients. Quickly identify trends and optimize ad spend based on fresh data. Centralize data from multiple campaigns for better decision-making. Requirements: Active Facebook Ads account with access to Facebook Graph API credentials. Facebook App with ads_read permissions and a valid access token Google account with permission to use Google Sheets. Basic setup of API credentials and Google Sheets integration. Create a new spreadsheet and name it (e.g., Facebook Campaign Stats). In the first row, create the following column headers (exact order required): | Id Campaign | Campaign name | Campaign status | Statistic | Impressions | Clicks | CPC | CTR | Conversions | Cost per conversion | Spend money | From | To | Make sure the sheet is editable by the automation and accessible via Google Sheets API (OAuth2 or service account). contact: contact@streamlinemakers.com
By JacobMultimodal Slack AI assistant with voice, image & video processing
What it's for: This is a base template for anyone trying to develop a Slack bot AI Agent. This base allows for multiple inputs (Voice, Picture, Video, and Text inputs) to be processed by an AI model of their choosing to a get a User started. From here, the User may connect any tools that they see fit to the AI Agent for their n8n workflows. NOTE: This build is specifically for integrating a Slack bot into a CHAT Channel If you want to allow the Slack bot to be integrated into the whole workspace, you'll need to adjust some of the nodes and bot parameters How it works: Input: Slack message mentioning a bot in a chat channel n8n Processing: Switch node determines the type: Voice Message Picture Message Video Message Text Message (Currently uses OpenAI and Gemini to analyze Voice/Photo/Video content but feel free to change these nodes with other models) AI Agent Proccessing: LLM of your choosing examines message and based on system prompt, generates an output Output: AI Output is sent back in Slack Message How to use: Create your Slack bot and generate access token This part will be longest part of the guide but feel free to Youtube search "How to install Slack AI agent" or soemthing similar in case it's hard to follow Sign in to the Slack website then go to: https://api.slack.com/apps/ Click "Create App" (Top Right Corner) Choose "From Scratch" Enter desired name of App (bot) and desired workspace Go to "OAuth and Permissions" tab on the left side of the webpage Scroll to "Bot Token Scopes" and Add Permissions: app_metions:read channels:history channels:join channels:read chat:write files:read links:read links:write (Feel free to add other permissions here. These are just the ones that will be needed for the automation to work) Next, go to "Event Subscriptions" and paste your n8n webhook URL (Find webhook URL by clicking on the Slack trigger node and there should be a dropdown for webhook URL at the very top) Go back to "OAuth & Permissions" Tab and install your bot to the Slack workspace (should be a green button under the "Bot User OAuth Token" (Remember where this token is for later because you'll need it to create the n8n credentials) Add the bot to your channel by going to your channel, then type "@[your bot name]" Should be a message from Slack to add bot to Channel Congrats for following along, you've added the bot to your channel! Create Credentials in n8n Open Slack trigger node Click create credential Paste access token (If you followed the steps above, it'll be under "OAuth & Permissions" -> Copy the "Bot User OAuth Token" and paste it in n8n accesss Save Add Bot Token to HTTP Request nodes Open HTTP Request Nodes (Nodes under the "Downlaod" Note - Scroll down and paste your Bot Access token under "Header Parameters". Should be a placeholder "[Your bot access token goes here]". NOTE: Replace everything, including the square brackets Do not remove "Bearer". Only replace the placeholder. Finalized Authorization value should be: "Bearer + [Your bot access token]" NOT "[Your bot access token ONLY]" Change ALL Slack nodes to your Slack Workspace and Channel Open the nodes, change workspace to your workspace Change channel to your channel Do this for all nodes Create LLM access token (Different per LLM but search your LLM + API in google) (You will have to create an account with the LLM platform) Buy credits to use LLM API Generate Access token Paste token in LLM node Choose your model Requirements: Slack Bot Access Token Google Gemini Access Token (For Picture and Video messages) OpenAI Access Token (For Voice messages) LLM Access Token (Your preference for the AI Agent) Customizing this workflow: To personalize the AI Output, adjust the system prompt (give context or directions on the AI's role) Add tools to the AI agent to give it more utility besides a personalied LLM (Example: Calendars, Databases, etc).
By Keith UyAutomate LinkedIn content creation with OpenAI, Notion, and Google Slides
What it is An automated LinkedIn content system that takes a simple form (idea + optional file), generates LinkedIn posts with OpenAI, stores them in Notion, builds Google Slides carousels, and auto-publishes posts (text, image, or document) to LinkedIn on a schedule while keeping Notion in sync. Setup steps Connect integrations: link your Notion database, LinkedIn account, Google Drive/Slides, OpenAI, and Gmail in n8n. Configure the form: set up the “LinkedIn Post Generator” form with the idea field and optional file upload. Map AI outputs: wire the OpenAI nodes so they write post title, funnel stage, and content into your Notion “LinkedIn Auto Posts” database. Enable carousel flow: connect Notion → OpenAI → Google Slides template → Google Drive copy → Notion update for “Create Carousel” items. Set scheduling: use the Schedule Trigger + Notion filters (“Ready for Post” + Scheduled Date) to pick which posts go out each hour. Publish & track: send posts to LinkedIn (text, image, or document), then update Notion status to “Posted” and, if needed, send yourself an email reminder for manual carousel actions.
By Kean