Back to Catalog

Generate branded article images with GPT-4o, FAL Flux and Google Drive

Cong NguyenCong Nguyen
491 views
2/3/2026
Official Page

๐Ÿ“„ What this workflow does

This workflow automatically turns a topic and a reference image URL into a finished, branded article image. It uses GPT-4o to generate a short, detailed image prompt, sends it to FAL Flux image-to-image for rendering, polls until the job is completed, downloads and resizes the image, overlays your company logo, and finally saves the branded result into a specified Google Drive folder.

๐Ÿ‘ค Who is this for

Content teams who need consistent, on-brand article images. Marketing teams looking to scale blog and landing page visuals. Designers who want to automate repetitive resizing and branding tasks. Anyone who needs a pipeline from topic โ†’ AI illustration โ†’ Google Drive asset.

โœ… Requirements

OpenAI (GPT-4o) API credentials (for image prompt generation). FAL API key for Flux image-to-image generation. Google Drive OAuth2 connection + target folder ID for saving images. A company logo file/URL (direct download link from Google Drive or any public URL).

โš™๏ธ How to set up

Connect OpenAI GPT-4o in the โ€œCreate promptโ€ node. Add your FAL API key to all HTTP Request nodes (generate image, check image finish, Get image link). Replace the logo link in โ€œGet companyโ€™s logoโ€ with your own logo URL. Configure the Google Drive node with your OAuth2 credentials and set the correct Folder ID. Update the image_url in โ€œLink imageโ€ (or pass from upstream data). Test the workflow end-to-end with a sample subject and image.

๐Ÿ” How it works

Form/Manual Trigger โ†’ Input subject + reference image URL. GPT-4o โ†’ Generates a <70-word sharp/detailed prompt (no text/logos). FAL Flux (HTTP Request) โ†’ Submits job for image-to-image generation. Polling Loop โ†’ Wait + check status until COMPLETED. Download Image โ†’ Retrieves generated image link. Resize Image โ†’ Standardize to 800ร—500 pixels. Get & Resize Logo โ†’ Fetch company logo, resize for branding. Composite โ†’ Overlay logo onto article image. Save to Google Drive โ†’ Final branded image saved in target folder.

๐Ÿ’ก About Margin AI

Margin AI is your AI Service Companion. We help organizations design intelligent, human-centric automation โ€” from content pipelines and branding workflows to customer insights and sales enablement. Our tailored AI solutions scale marketing, operations, and creative processes with ease.

8064-generate-branded-article-images-with-gpt-4o-fal-flux-and-google-drive

This n8n workflow automates the creation of branded images for articles using AI and stores them in Google Drive. It leverages OpenAI's capabilities to generate image prompts, then uses an external image generation service (likely Fal.ai or Flux.ai, inferred from the directory name) via an HTTP Request, and finally uploads the processed image to Google Drive.

What it does

This workflow streamlines the process of generating and storing branded article images:

  1. Manual Trigger: The workflow is initiated manually, allowing for on-demand image generation.
  2. Edit Fields (Set): Sets initial data, which likely includes the article title or content that will be used for image generation.
  3. OpenAI - Generate Image Prompt: Utilizes OpenAI (likely GPT-4o, inferred from the directory name) to generate a descriptive prompt suitable for image generation based on the provided article details.
  4. Wait: Introduces a pause in the workflow, potentially to allow for rate limiting or to ensure previous steps are fully completed before proceeding.
  5. HTTP Request - Generate Image: Sends the AI-generated prompt to an external image generation API (e.g., Fal.ai or Flux.ai) to create the actual image.
  6. If - Check Image Generation Status: Checks the response from the image generation API to determine if the image was successfully created.
  7. Edit Image - Add Branding (if successful): If image generation was successful, this node processes the generated image, likely adding branding elements (e.g., logo, text overlay) to it.
  8. Google Drive - Upload Branded Image: Uploads the final branded image to a specified folder in Google Drive.
  9. Merge: This node likely merges the output of the "If" node's true and false branches, or combines data from different parts of the workflow. (Its exact function depends on the configuration, which is not detailed in the JSON).
  10. Code - Handle Errors/Cleanup (if failed or after upload): This node would typically contain custom JavaScript logic to handle errors if image generation failed, or perform post-upload cleanup/logging.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • OpenAI API Key: For the OpenAI node to generate image prompts.
  • External Image Generation Service API Key: An API key for the external image generation service (e.g., Fal.ai, Flux.ai, or a similar service) used by the HTTP Request node.
  • Google Drive Account: With appropriate permissions to upload files to a designated folder.
  • Google Drive Credential in n8n: Configured to connect to your Google Drive account.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Set up your OpenAI API Key credential in n8n.
    • Configure the Google Drive credential with access to your desired Google Drive folder.
    • The HTTP Request node will require configuration for the external image generation service, including its API endpoint and authentication (likely an API key or token in the headers).
  3. Customize Nodes:
    • Edit Fields (Set): Adjust the input data (e.g., article title, keywords) that will be sent to OpenAI.
    • OpenAI: Review and adjust the prompt generation parameters if needed.
    • HTTP Request: Ensure the URL, method, headers (for authentication), and body (for sending the image prompt) are correctly configured for your chosen image generation service.
    • Edit Image: Customize the image editing operations, such as adding specific text, logos, or resizing.
    • Google Drive: Specify the target folder ID and file naming conventions for the uploaded images.
    • Wait: Adjust the wait duration if necessary.
    • Code: Customize the JavaScript code for error handling, logging, or any other custom logic.
  4. Activate the workflow: Once configured, activate the workflow.
  5. Execute: Click "Execute workflow" on the "Manual Trigger" node to run the workflow.

Related Templates

AI multi-agent executive team for entrepreneurs with Gemini, Perplexity and WhatsApp

This workflow is an AI-powered multi-agent system built for startup founders and small business owners who want to automate decision-making, accountability, research, and communication, all through WhatsApp. The โ€œvirtual executive team,โ€ is designed to help small teams to work smarter. This workflow sends you market analysis, market and sales tips, It can also monitor what your competitors are doing using perplexity (Research agent) and help you stay a head, or make better decisions. And when you feeling stuck with your start-up accountability director is creative enough to break the barrier ๐ŸŽฏ Core Features ๐Ÿง‘โ€๐Ÿ’ผ 1. President (Super Agent) Acts as the main controller that coordinates all sub-agents. Routes messages, assigns tasks, and ensures workflow synchronization between the AI Directors. ๐Ÿ“Š 2. Sales & Marketing Director Uses SerpAPI to search for market opportunities, leads, and trends. Suggests marketing campaigns, keywords, or outreach ideas. Can analyze current engagement metrics to adjust content strategy. ๐Ÿ•ต๏ธโ€โ™€๏ธ 3. Business Research Director Powered by Perplexity AI for competitive and market analysis. Monitors competitor moves, social media engagement, and product changes. Provides concise insights to help the founder adapt and stay ahead. โฐ 4. Accountability Director Keeps the founder and executive team on track. Sends motivational nudges, task reminders, and progress reports. Promotes consistency and discipline โ€” key traits for early-stage success. ๐Ÿ—“๏ธ 5. Executive Secretary Handles scheduling, email drafting, and reminders. Connects with Google Calendar, Gmail, and Sheets through OAuth. Automates follow-ups, meeting summaries, and notifications directly via WhatsApp. ๐Ÿ’ฌ WhatsApp as the Main Interface Interact naturally with your AI team through WhatsApp Business API. All responses, updates, and summaries are delivered to your chat. Ideal for founders who want to manage operations on the go. โš™๏ธ How It Works Trigger: The workflow starts from a WhatsApp Trigger node (via Meta Developer Account). Routing: The President agent analyzes the incoming message and determines which Director should handle it. Processing: Marketing or sales queries go to the Sales & Marketing Director. Research questions are handled by the Business Research Director. Accountability tasks are assigned to the Accountability Director. Scheduling or communication requests are managed by the Secretary. Collaboration: Each sub-agent returns results to the President, who summarizes and sends the reply back via WhatsApp. Memory: Context is maintained between sessions, ensuring personalized and coherent communication. ๐Ÿงฉ Integrations Required Gemini API โ€“ for general intelligence and task reasoning Supabase- for RAG and postgres persistent memory Perplexity API โ€“ for business and competitor analysis SerpAPI โ€“ for market research and opportunity scouting Google OAuth โ€“ to connect Sheets, Calendar, and Gmail WhatsApp Business API โ€“ for message triggers and responses ๐Ÿš€ Benefits Acts like a team of tireless employees available 24/7. Saves time by automating research, reminders, and communication. Enhances accountability and strategy consistency for founders. Keeps operations centralized in a simple WhatsApp interface. ๐Ÿงฐ Setup Steps Create API credentials for: WhatsApp (via Meta Developer Account) Gemini, Perplexity, and SerpAPI Google OAuth (Sheets, Calendar, Gmail) Create a supabase account at supabase Add the credentials in the corresponding n8n nodes. Customize the system prompts for each Director based on your startupโ€™s needs. Activate and start interacting with your virtual executive team on WhatsApp. Use Case You are a small organisation or start-up that can not afford hiring; marketing department, research department and secretar office, then this workflow is for you ๐Ÿ’ก Need Customization? Want to tailor it for your startup or integrate with CRM tools like Notion or HubSpot? You can easily extend the workflow or contact the creator for personalized support. Consider adjusting the system prompt to suite your business

ShadrackBy Shadrack
331

๐ŸŽ“ How to transform unstructured email data into structured format with AI agent

This workflow automates the process of extracting structured, usable information from unstructured email messages across multiple platforms. It connects directly to Gmail, Outlook, and IMAP accounts, retrieves incoming emails, and sends their content to an AI-powered parsing agent built on OpenAI GPT models. The AI agent analyzes each email, identifies relevant details, and returns a clean JSON structure containing key fields: From โ€“ senderโ€™s email address To โ€“ recipientโ€™s email address Subject โ€“ email subject line Summary โ€“ short AI-generated summary of the email body The extracted information is then automatically inserted into an n8n Data Table, creating a structured database of email metadata and summaries ready for indexing, reporting, or integration with other tools. --- Key Benefits โœ… Full Automation: Eliminates manual reading and data entry from incoming emails. โœ… Multi-Source Integration: Handles data from different email providers seamlessly. โœ… AI-Driven Accuracy: Uses advanced language models to interpret complex or unformatted content. โœ… Structured Storage: Creates a standardized, query-ready dataset from previously unstructured text. โœ… Time Efficiency: Processes emails in real time, improving productivity and response speed. *โœ… Scalability: Easily extendable to handle additional sources or extract more data fields. --- How it works This workflow automates the transformation of unstructured email data into a structured, queryable format. It operates through a series of connected steps: Email Triggering: The workflow is initiated by one of three different email triggers (Gmail, Microsoft Outlook, or a generic IMAP account), which constantly monitor for new incoming emails. AI-Powered Parsing & Structuring: When a new email is detected, its raw, unstructured content is passed to a central "Parsing Agent." This agent uses a specified OpenAI language model to intelligently analyze the email text. Data Extraction & Standardization: Following a predefined system prompt, the AI agent extracts key information from the email, such as the sender, recipient, subject, and a generated summary. It then forces the output into a strict JSON structure using a "Structured Output Parser" node, ensuring data consistency. Data Storage: Finally, the clean, structured data (the from, to, subject, and summarize fields) is inserted as a new row into a specified n8n Data Table, creating a searchable and reportable database of email information. --- Set up steps To implement this workflow, follow these configuration steps: Prepare the Data Table: Create a new Data Table within n8n. Define the columns with the following names and string type: From, To, Subject, and Summary. Configure Email Credentials: Set up the credential connections for the email services you wish to use (Gmail OAuth2, Microsoft Outlook OAuth2, and/or IMAP). Ensure the accounts have the necessary permissions to read emails. Configure AI Model Credentials: Set up the OpenAI API credential with a valid API key. The workflow is configured to use the model, but this can be changed in the respective nodes if needed. Connect the Nodes: The workflow canvas is already correctly wired. Visually confirm that the email triggers are connected to the "Parsing Agent," which is connected to the "Insert row" (Data Table) node. Also, ensure the "OpenAI Chat Model" and "Structured Output Parser" are connected to the "Parsing Agent" as its AI model and output parser, respectively. Activate the Workflow: Save the workflow and toggle the "Active" switch to ON. The triggers will begin polling for new emails according to their schedule (e.g., every minute), and the automation will start processing incoming messages. --- Need help customizing? Contact me for consulting and support or add me on Linkedin.

DavideBy Davide
1616

Send WooCommerce discount coupons to customers via WhatsApp using Rapiwa API

Who is this for? This workflow is ideal for WooCommerce store owners who want to automatically send promotional WhatsApp messages to their customers when new coupons are created. Itโ€™s designed for marketers and eCommerce managers looking to boost engagement, streamline coupon sharing, and track campaign performance effortlessly through Google Sheets. Overview This workflow listens for WooCommerce coupon creation events (coupon.created) and uses customer billing data to send promotional WhatsApp messages via the Rapiwa API. The flow formats the coupon data, cleans phone numbers, verifies WhatsApp registration with Rapiwa, sends the promotional message when verified, and logs each attempt to Google Sheets (separate sheets for verified/sent and unverified/not sent). What this Workflow Does Listens for new coupon creation events in WooCommerce via the WooCommerce Trigger node Retrieves all customer data from the WooCommerce store Processes customers in batches to control throughput Cleans and formats customer phone numbers for WhatsApp Verifies if phone numbers are valid WhatsApp accounts using Rapiwa API Sends personalized WhatsApp messages with coupon details to verified numbers Logs all activities to Google Sheets for tracking and analysis Handles both verified and unverified numbers appropriately Key Features Automated coupon distribution: Triggers when new coupons are created in WooCommerce Customer data retrieval: Fetches all customer information from WooCommerce Phone number validation: Verifies WhatsApp numbers before sending messages Personalized messaging: Includes customer name and coupon details in messages Dual logging system: Tracks both successful and failed message attempts Rate limiting: Uses batching and wait nodes to prevent API overload Data formatting: Structures coupon information for consistent messaging Google Sheet Column Structure A Google Sheet formatted like this โžค sample The workflow uses a Google Sheet with the following columns to track coupon distribution: | name | number | email | address1 | couponCode | couponTitle | couponType | couponAmount | createDate | expireDate | validity | status | | ----------- | ------------- | --------------------------------------------------- | --------- | ---------- | -------------- | ---------- | ------------ | ------------------- | ------------------- | ---------- | -------- | | Abdul Mannan | 8801322827799 | contact@spagreen.net | mirpur-DOHS | 62dhryst | eid offer 2025 | percent | 20.00 | 2025-09-11 06:08:02 | 2025-09-15 00:00:00 | unverified | not sent | | Abdul Mannan | 8801322827799 | contact@spagreen.net | mirpur-DOHS | 62dhryst | eid offer 2025 | percent | 20.00 | 2025-09-11 06:08:02 | 2025-09-15 00:00:00 | verified | sent | Requirements n8n instance with the following nodes: WooCommerce Trigger, Code, SplitInBatches, HTTP Request, IF, Google Sheets, Wait WooCommerce store with API access Rapiwa account with API access for WhatsApp verification and messaging Google account with Sheets access Customer phone numbers in WooCommerce (stored in billing.phone field) Important Notes Phone Number Format: The workflow cleans phone numbers by removing all non-digit characters. Ensure your WooCommerce phone numbers are in a compatible format. API Rate Limits: Rapiwa and WooCommerce APIs have rate limits. Adjust batch sizes and wait times accordingly. Data Privacy: Ensure compliance with data protection regulations when sending marketing messages. Error Handling: The workflow logs unverified numbers but doesn't have extensive error handling. Consider adding error notifications for failed API calls. Message Content: The current message template references the first coupon only (coupons[0]). Adjust if you need to handle multiple coupons. Useful Links Dashboard: https://app.rapiwa.com Official Website: https://rapiwa.com Documentation: https://docs.rapiwa.com Support & Help WhatsApp: Chat on WhatsApp Discord: SpaGreen Community Facebook Group: SpaGreen Support Website: https://spagreen.net Developer Portfolio: Codecanyon SpaGreen

RapiwaBy Rapiwa
110