Workflow Templates

What's the workflow used for？ Leverage this Kling API (unofficial) provided by PiAPI workflow to streamline virtual try-on video creation. This tool is designed for e-commerce platforms, fashion brands, content creators and content influencers. By uploading model and clothing images and linking PiAPI account, users can swiftly generate a realistic video of the model sporting the outfit with a 360° turn, offering an immersive viewing experience. Step-by-step Instruction For basic settings of virtual try-on, check API doc to get best practice. Fill in your X-API-Key of your PiAPI account in Preset Parameters node. Upload the model photo and provide target clothing image urls. Click Test Workflow to generate virtual try-on image. Get the video output in the final node. Param Settings If you want to change into a dress, input the model_input URL and the dress_input URL in the parameters. If you want to change into separates, input model_input URL, upper_input URL and lower_input URL in Preset Parameters. Use Case Input images： Output Video The output demonstrates that the model is wearing the clothing from the specified image and showcases a rotating runway-style view. This workflow enables you to efficiently test garment-on-model presentation effects while reducing business model validation costs to a certain extent.

🎨 AI Image Generator with Flux AI Generate realistic, high-quality images from text prompts using the Flux AI Text-to-Image Generator API via RapidAPI, and seamlessly store the results in Google Drive and log them in Google Sheets — all automated using n8n. 🧠 What This Workflow Does This no-code automation enables you to: 🖋️ Enter a custom text prompt using a web form. 🖼️ Generate a photorealistic image using Flux AI’s Text-to-Image Generator via RapidAPI. ☁️ Upload the image to Google Drive. 📊 Log the prompt and result in a Google Sheet. ⚠️ Capture and log errors in a fallback sheet. 💡 Use Case Ideal for: Digital artists and marketers Social media managers Brand mockup creators Rapid concept prototyping All without writing a single line of code. ✅ Benefits No-code automation** for AI-generated images Cloud storage** and structured logging Error handling** built-in Fast content creation** for design, branding, or concept testing Powered by* the Flux AI Text-to-Image Generator API via *RapidAPI** 🧩 Node-by-Node Breakdown 1. 📝 On Form Submission Accepts user input for a creative text prompt. 🔍 Example: “A silver can with vapor and blue lightning background.” 💡 Benefit: No technical knowledge needed. 2. 🌐 HTTP Request — Flux AI API Sends the prompt to the Flux AI Text-to-Image Generator API via RapidAPI. 📦 Returns an image encoded in base64. 💡 Benefit: Seamless integration with cutting-edge image generation. 3. 🧪 Code Node — Base64 Decoder Converts the base64 image to a binary .jpg file. 💡 Benefit: Readies the image for upload/download/sharing. 4. 📁 Google Drive Uploads the generated image to your Google Drive folder. 💡 Benefit: Secure, sharable cloud storage. 5. 📊 Google Sheets — Success Log Appends a row with the original prompt, filename, and generation date. 💡 Benefit: Tracks history of all generated images. 6. ⚠️ IF Node — Error Detection Checks if the image generation failed. 💡 Benefit: Prevents workflow from halting and routes to error logging. 7. 📉 Google Sheets — Error Log Logs failed prompts and error messages. 💡 Benefit: Helps identify what went wrong (e.g. malformed prompt). 🛠️ Challenges Solved | Problem | How This Workflow Fixes It | |--------|-----------------------------| | Manual prompt-based image generation is slow | Fully automated with Flux AI | | No storage pipeline for generated images | Integrated with Google Drive | | No audit trail for prompts/images | Logged into Google Sheets | | Errors go unnoticed in image generation | Built-in error check and logging | | Users lack API access or dev experience | Friendly web form UI | 🔗 API Spotlight This workflow is powered by the Flux AI Text-to-Image Generator API — available exclusively on RapidAPI. Why use this API? Ultra-fast text-to-image rendering High-resolution results Developer-friendly and cost-effective Great for branding, mockups, and visuals We’ve integrated this API to make advanced image generation accessible with just a prompt — no AI or dev experience required.

Who’s it for Creators who want to create faceless videos automatically, while keeping human oversight and quality control. How it works / What it does AI generates 8 story beats, which can be reviewed, edited, or re-ordered by a human. Each beat is converted into narration (audio), imagery, and short clips. Final video is assembled and stored in Google Drive, ready for review and regeneration if needed. Chat commands trigger each step, giving full human control. How to set up Set up Google Drive and Google Sheets Get necessary credentials Requirements Google Drive account for storing videos. Access to AI tools for text, voice, and visuals. Basic familiarity with triggering chat commands or automation steps. How to customize the workflow Adjust the number of story beats or narration style Use models of your choice Use for any theme by updating Story prompt

This workflow allows you to define multiple tickets/issues in a Notion page, then easily import them into Linear. Why is it useful? We use this workflow internally at n8n for collaboration between Product and Engineering teams: Engineering needs all work to be in our ticketing system (Linear) in order to keep track of it Product prefers to review features in Notion. This is because it and can be used to dump all your thoughts and organise them into themes afterwards, plus it better supports rich content like videos Features Supports rich formatting (bullets, images, videos, links, etc.) Keeps links between the Notion and Linear version, in case you need to refer back Allows you to assign each issue to a team member in the Notion definition Avoids importing the same issues twice if you run it again on the same page (meaning you can issues incrementally) You can see an example of the required format of the Notion page here.

Want to check out all my flows, follow me on: https://maxmitcham.substack.com/ https://www.linkedin.com/in/max-mitcham/ This automation flow is designed to generate comprehensive, research-backed lead magnet articles based on a user-submitted topic, conduct deep research across multiple sources, and automatically create a professional Google Doc ready for LinkedIn sharing. ⚙️ How It Works (Step-by-Step): 📝 Chat Input (Entry Point) A user submits a topic through the chat interface: Topic for lead magnet content Target audience (automatically detected) Company context (when relevant) 🔍 Query Builder Agent An AI agent refines the input by: Converting the topic into 5 targeted research queries Determining if topic relates to *company for specialized research Using structured output parsing for consistent results 📚 Research Leader Agent Conducts comprehensive research that: Uses Perplexity API for real-time web research Integrates *company knowledge base when relevant Creates detailed table of contents with research insights Identifies key trends, expert opinions, and case studies 📋 Project Planner Agent Structures the content by: Generating professional title and subtitle Creating 8-10 logical chapter outlines Developing detailed writing prompts for each section Ensuring step-by-step actionable guidance ✍️ Research Assistant Team Multiple AI agents write simultaneously: Each agent writes one chapter with proper citations Maintains consistent voice across all sections Includes real-world examples and implementation steps Uses both web research and *company knowledge 📝 Editor Agent Professional content polishing: Refines tone for authenticity and engagement Adds image placeholders where appropriate Ensures proper flow between chapters Optimizes for LinkedIn lead magnet format 📄 Google Docs Creation Automated document generation: Creates new Google Doc with formatted content Sets proper sharing permissions (public link) Organizes in designated company folder Returns shareable URL for immediate use 🛠️ Tools Used: n8n: Workflow orchestration platform Anthropic Claude: Primary AI model for content generation OpenRouter: Backup AI model options Perplexity API: Real-time research capabilities *Company Knowledge Hub: Internal documentation access Google Docs API: Document creation and formatting Google Drive API: File management and sharing 📦 Key Features: End-to-end automation from topic to published document Multi-agent approach ensures comprehensive coverage Real-time research with proper citations Company-specific knowledge integration Professional editing and formatting Automatic Google Docs creation with sharing Scalable content generation (3-5 minutes per article) 🚀 Ideal Use Cases: B2B companies building thought leadership content Sales teams creating industry-specific lead magnets Marketing departments scaling content production Consultants developing expertise-demonstrating resources SaaS companies creating feature-focused educational content Startups establishing market presence without content teams `

Tags*: Ghost CMS, SEO Audit, Image Optimisation, Alt Text, Google Sheets, Automation Context Hi! I’m Samir — a Supply Chain Engineer and Data Scientist based in Paris, and founder of LogiGreen Consulting. I help companies and content creators use automation and analytics to improve visibility, enhance performance, and reduce manual work. > Let’s use n8n to automate SEO audits to increase your traffic! 📬 For business inquiries, feel free to connect on LinkedIn Who is this template for? This workflow is perfect for bloggers, marketers, or content teams using Ghost CMS who want to: Extract and review all images from articles Detect missing or short alt texts Check image file size and filename SEO compliance Push the audit results into a Google Sheet How does it work? This n8n workflow extracts all blog posts from Ghost CMS, scans the HTML to collect all embedded images, then evaluates each image for: ✅ Presence and length of alt text 📏 File size in kilobytes 🔤 Filename SEO quality (e.g. lowercase, hyphenated, no special chars) All findings are written to Google Sheets for further analysis or manual cleanup. 🧭 Workflow Steps: 🚀 Trigger the workflow manually or on schedule 📰 Extract blog post content from Ghost CMS 🖼️ Parse all ` tags with src and alt` attributes 📤 Store image metadata in a Google Sheet (step 1) 🌐 Download each image using HTTP request 🧮 Extract file size, extension, and filename SEO flag 📄 Update the audit sheet with size and format insights What do I need to get started? This workflow requires: A Ghost Content API key A Google Sheet (to log audit results) No AI or external APIs required — works fully with built-in nodes Next Steps 🗒️ Follow the sticky notes inside the workflow to: Plug in your Ghost blog credentials Select or create a Google Sheet Run the audit and start improving your SEO! This template was built using n8n v1.93.0 Submitted: June 8, 2025

This workflow creates an AI-powered Telegram bot that allows users to generate and modify images using Grok Imagine models via the Kie AI API. Key Advantages 1. ✅ Multi-Modal Input Support Users can interact using: Text Voice Images This makes the bot highly flexible and user-friendly. 2. ✅ Intelligent AI Orchestration Instead of directly calling APIs, the workflow uses an AI agent that: Understands intent Enhances prompts Chooses the correct tool automatically This dramatically improves output quality. 3. ✅ Fully Automated Image Pipeline From user input to final image delivery: Upload Processing Generation Result retrieval Delivery via Telegram Everything is automated end-to-end. 4. ✅ Asynchronous & Scalable Architecture The use of: Webhook callbacks Wait nodes Task polling Prevents timeouts and supports longer image generation tasks. 5. ✅ Secure Access Control The Telegram ID validation ensures: Only authorized users can access the workflow. 6. ✅ Modular & Extendable Design The workflow is built with: Tool-based architecture Separate image generation workflows Clear orchestration logic This makes it easy to extend with: Video generation Style presets Advanced editing tools Multi-user support 7. ✅ Production-Ready Structure The workflow includes: Error handling guidelines Structured system prompts Memory handling Clear separation of concerns This makes it suitable for: Creative agencies AI SaaS products Marketing automation Telegram-based AI services How it works This workflow creates a Telegram bot that uses AI to generate and transform images through Grok Imagine models, with support for text, voice, and image inputs. Telegram Input Handling: Users interact with the bot by sending messages, voice notes, or images. The workflow authenticates users based on their Telegram ID. Input Processing: Text messages → Directly sent to the AI agent Voice messages → Transcribed using OpenAI Whisper, then converted to text Images → Downloaded from Telegram, uploaded to an FTP server (BunnyCDN), and the public URL is generated AI Agent Decision Making: The "Grok Imagine Agent" (powered by Grok 4.1 Fast model) analyzes user input and determines whether to: Generate a new image from text description (text-to-image) Transform an existing image using a prompt (image-to-image) Tool Execution: The agent calls specialized workflow tools that trigger image generation via Kie.ai API: Text-to-Image: Creates images from text prompts using "grok-imagine/text-to-image" model Image-to-Image: Modifies existing images using "grok-imagine/image-to-image" model Async Processing: The workflow uses Wait nodes to handle asynchronous image generation, polling Kie.ai for results via task IDs. Result Delivery: Once images are generated, they're sent back to the user through Telegram messages. Setup Steps Telegram Configuration: Create a Telegram Bot via BotFather to get a bot token Add your Telegram user ID in the "Code" node (replace XXX) Configure Telegram credentials in n8n with your bot token API Credentials: OpenRouter: Sign up at OpenRouter.ai, get API key for Grok 4.1 Fast access Kie.ai: Register at Kie.ai for free API key to access image generation models OpenAI: Set up OpenAI API key for voice transcription (Whisper model) FTP Server Setup: Configure FTP server (BunnyCDN recommended) for image hosting Update FTP credentials in n8n Set the public URL path in the "Set Image Url" node (replace XXX) Workflow Configuration: Import the JSON workflow into n8n Update all credential references to match your accounts Verify webhook URLs are properly configured for callback handling Test the workflow and activate when ready Optional Customizations: Adjust the system prompt in the "Grok Imagine Agent" node for different behavior Modify image aspect ratios or other parameters in the HTTP Request nodes Add additional tools for more functionality 👉 Subscribe to my new YouTube channel. Here I’ll share videos and Shorts with practical tutorials and FREE templates for n8n. Need help customizing? Contact me for consulting and support or add me on Linkedin.

Unlock the full potential of your YouTube channel with our powerful integration that connects Google Sheets and DeepSeek AI — designed to skyrocket your video visibility and engagement without manual hassle. What this integration does for you: Automates video data management by pulling your YouTube URLs straight from Google Sheets — no more copy-pasting or manual tracking. Extracts your current titles and descriptions directly from YouTube, giving you a clear starting point. Generates 3 high-impact, SEO-optimized titles plus 1 compelling, conversion-focused description — crafted by DeepSeek’s AI to grab attention and rank higher. Updates your Google Sheet automatically with new optimized titles and descriptions — keeping all your video info in one place, ready to publish. Why it matters: In the crowded world of YouTube, having the right title and description can make all the difference between millions of views or being lost in the noise. This integration takes the guesswork out of optimization, saving you time and boosting your channel’s growth with proven AI-driven content. You need to Sheet with columns: Url Keyword Status Old Title New Title Old Description New Description My contact: jacobmarketingservice@gmail.com

This workflow is aimed to create new posts in wordpress automatically from an airtable dashboard. When creating content in bulk, we can save time by automating how we can post and publish this content. Usage Get the content from Airtable. Since we have this as a markdown, we will have to convert it to a html format to make it easier to publish and manage on WordPress Upload the blog post with the content, title and all other relevant information needed for an optimized blog Once the post is posted, we need to upload the image and set it as a features image for the blogs Happy productivity

💥 From Drawing to Story: Auto-Publish AI Video to YouTube with Blotato Overview Transform a hand-drawn character sketch into a fully animated, narrated video story — automatically. This 3-part pipeline uses Claude AI, image generation, and video synthesis to go from a simple drawing to a publish-ready video, with no manual editing required. Perfect for: indie creators, educators, storytellers, and anyone who wants to bring hand-drawn characters to life at scale. How It Works Part 1 — From Drawing to Story: Bringing Characters to Life A form submission triggers the workflow with an uploaded drawing The image is analyzed by Claude AI to extract characters and traits Character images are generated via Nano Banana (image generation API) A full story is written by Claude AI, split into scenes, and passed to Part 2 Part 2 — From Characters to Scenes: Rendering the Visual Story Character images are downloaded and converted to Base64 references Scene images are generated using Nano Banana with character consistency Scene image URLs are mapped and the video pipeline is triggered Part 3 — From Scenes to Screen: Video, Narration & Final Render Video prompts and narration context are generated by Claude AI Videos are generated via AtlasCloud (Kling Pro 3.0) with polling loop Narration audio is created with ElevenLabs and uploaded Shotstack assembles the final video with audio sync Final video is published to YouTube (and optionally TikTok) > ⚠️ Important — Workflow Structure > > This template is split into 3 separate workflows. > Each part must be imported and deployed in its own workflow in n8n. > > 📺 Watch the step-by-step tutorial to set everything up correctly: > > @youtube Requirements Credentials needed Blotato** API credentials (YouTube/TikTok publishing) AtlasCloud** API (Kling Pro 3.0 video generation) Anthropic** API key (Claude AI for story & prompts) ElevenLabs** API key (narration audio) Shotstack** API key (video assembly) Nano Banana** API key (image generation) Setup steps Configure credentials for each service above in n8n Set up a form trigger with a file upload field for the drawing Deploy the 3 workflows in order and connect them via webhooks Run a test submission with a simple sketch to validate the full pipeline 🎥 Watch This Tutorial 👋 Need help or want to customize this? 📩 Contact: LinkedIn 📺 YouTube: @DRFIRASS 🚀 Workshops: Mes Ateliers n8n Need help customizing? Contact me for consulting and support : Linkedin / Youtube / 🚀 Mes Ateliers n8n

What this workflow does? This workflow converts orthographic three-view drawings into 360° rotation videos through PiAPI's GPT-4o-Image and Kling APIs (unofficial). The workflow could be set with our 3D Figurine Orthographic Views workflow for generation. Who is the workflow for? Designers**: Generate inspiration into 3D designs and make them spin to gain concrete details in a efficient way. Online shoppers**: Show protential products from all angles in videos and preview overall texture of models. Content Creators** (including toy bloggers): Make fun videos of collectible models. Step-by-step Instructions 1.Fill in basic params with your X-API-Key of your PiAPI account and 3-View image url. 2.Click test workflow. 3.Get the final video in the last node. Use Case Input Image Output Video

Overview & Setup This n8n template demonstrates how to automatically generate authentic User-Generated Content (UGC) style marketing videos for eCommerce products using AI. Simply upload a product image, and the workflow creates multiple realistic influencer-style video ads complete with scripts, personas, and video generation. Use cases Generate multiple UGC video variations for A/B testing Create authentic-looking product demonstrations for social media Produce influencer-style content without hiring creators Quickly test different marketing angles for new products Scale video content creation for eCommerce catalogs Good to know Sora 2 video generation takes approximately 2-3 minutes per 12-second video Each video generation costs approximately $0.50-1.00 USD (check OpenAI pricing for current rates) The workflow generates multiple video variations from a single product image Videos are automatically uploaded to Google Drive upon completion Generated videos are in 720x1280 (9:16) format optimized for social media How it works Product Analysis: OpenAI's vision API analyzes the uploaded product image to understand its features, benefits, and target audience Persona Creation: The system generates a detailed profile of the ideal influencer/creator who would authentically promote this product Script Generation: Gemini 2.5 Pro creates multiple authentic UGC video scripts (12 seconds each) with frame-by-frame breakdowns, natural dialogue, and camera movements Frame Generation: For each script, Gemini generates a custom first frame that adapts the product image to match UGC aesthetic and aspect ratio Video Production: Sora 2 API generates the actual video using the script and custom first frame as reference Status Monitoring: The workflow polls the video generation status every 15 seconds until completion Upload & Storage: Completed videos are automatically uploaded to Google Drive with organized naming How to use Click the form trigger URL to access the submission form Upload your product image (works best with clean product shots on white/neutral backgrounds) Enter the product name Submit the form and wait for the workflow to complete Find your generated UGC videos in the specified Google Drive folder Each run produces multiple video variations you can test Requirements OpenAI API** account with Sora 2 access for video generation and GPT-4 Vision Google Gemini API** account for script generation and image adaptation Google Drive** account for video storage Sufficient API credits for video generation (budget accordingly) Customizing this workflow Adjust the video duration in the generate_video node (currently set to 12 seconds) Modify the persona prompt in analyze_product node to target different audience demographics Change the script style in set_build_video_prompts node for different UGC aesthetics (excited discovery, casual recommendation, etc.) Update the Google Drive folder in upload_video node to organize videos by campaign Add additional processing nodes for video editing, subtitle generation, or thumbnail creation Modify the aspect ratio in resize_image node for different platforms (1:1 for Instagram feed, 16:9 for YouTube, etc.)