Back to Catalog

Generate and publish carousels for TikTok and Instagram with GPT-Image-1

Juan Carlos Cavero GraciaJuan Carlos Cavero Gracia
18084 views
2/3/2026
Official Page

Description

This n8n automation template provides an end-to-end solution for generating a series of themed images for Instagram and TikTok carousels using OpenAI's GPT Image (via the image generation API) and automatically publishing them to both platforms. It uses a sequence of prompts to create a narrative or themed carousel, generating each image based on the previous one, and then posts them with an AI-generated caption.

Who Is This For?

  • Social Media Managers: Quickly create and schedule engaging image carousels for Instagram and TikTok.
  • Content Creators: Automate the visual content creation process for thematic posts or storytelling carousels.
  • Digital Marketers: Efficiently produce visual assets for campaigns that require sequential imagery.
  • Small Businesses: Generate unique promotional content for social media without needing advanced design skills.

What Problem Does This Workflow Solve?

Manually creating a series of related images for a carousel and then publishing them across multiple platforms can be repetitive and time-consuming. This workflow addresses these issues by:

  • Automating Image Generation: Uses OpenAI to generate a sequence of 5 images, where each new image is an evolution based on the previous one and a new prompt.
  • Automating Caption Generation: Leverages OpenAI (GPT) to create a suitable description/caption for the carousel based on the image prompts.
  • Streamlining Multi-Platform Publishing: Automatically uploads the generated image carousel and caption to both Instagram and TikTok.
  • Reducing Manual Effort: Significantly cuts down the time spent on designing individual images and manually uploading them.
  • Ensuring Visual Cohesion: The sequential image generation method (editing the previous image) helps maintain a consistent style or narrative across the carousel.

How It Works

  1. Trigger: The workflow is initiated manually (can be adapted to a schedule or webhook).
  2. Define Prompts: Five distinct prompts are pre-set within the workflow to guide the generation of each image in the carousel.
  3. AI Caption Generation: OpenAI (GPT-4.1) generates a concise (≤ 90 characters for TikTok) description for the social media posts based on all five image prompts.
  4. Sequential AI Image Generation:
    • Image 1: OpenAI's image generation API (specified as gpt-image-1) creates the first image based on prompt1.
    • Image 2-5: For each subsequent image, the workflow uses the OpenAI image edits API. It takes the previously generated image and a new prompt (prompt2 for image 2, prompt3 for image 3, and so on) to create the next image in the sequence.
    • Images are converted from base64 JSON to binary format.
  5. Content Aggregation: The five generated binary image files (named photo1 through photo5) are merged.
  6. Multi-Platform Distribution:
    • The merged images and the AI-generated description are sent to api.upload-post.com for publishing as a carousel to Instagram.
    • The same content is sent to api.upload-post.com for publishing as a carousel to TikTok, with an option to automatically add music.
    • The TikTok description is truncated if it exceeds 90 characters.

Setup

  1. Accounts & API Keys: You will need:
  2. Configure Credentials:
    • Add your OpenAI API key to the "OpenAI" credentials in n8n. This will be used by the "Generate Description for Tiktok and Instagram" node and the HTTP Request nodes calling the OpenAI image generation/edit APIs.
    • In the "POST TO INSTAGRAM" and "POST TO TIKTOK" nodes, replace "Apikey add_api_key_here" with your actual upload-post.com API key.
    • Update the user field in the "POST TO INSTAGRAM" and "POST TO TIKTOK" nodes if "upload_post" is not your user identifier for that service.
  3. Customize Prompts: Modify the five prompts (prompt1 to prompt5) in the "Set All Prompts" node to define the story or theme of your image carousel.
  4. Review Image Generation Parameters: In the "Set API Variables" node, you can adjust:
    • size_of_image (e.g., "1024x1536" for vertical carousels).
    • openai_image_model (ensure this matches a valid OpenAI model identifier for image generation/edits, like dall-e-2 or dall-e-3 if gpt-image-1 is a placeholder).
    • response_format_image (should generally remain b64_json for this workflow).
  5. (Optional) TikTok Auto Music: The "POST TO TIKTOK" node has an auto_add_music parameter set to true. Change this to false if you prefer to add music manually or not at all.

Requirements

  • Accounts: n8n, OpenAI, upload-post.com.
  • API Keys & Credentials: API Keys for OpenAI and https://upload-post.com.
  • (Potentially) Paid Plans: OpenAI and upload-post.com usage may incur costs depending on your volume and their respective pricing models.

This template empowers you to automate the creation and distribution of visually consistent image carousels, saving time and enhancing your social media presence.

Generate and Publish Carousels for TikTok and Instagram with GPT and Image Generation

This n8n workflow automates the creation and potential publishing of carousel content for social media platforms like TikTok and Instagram. It leverages OpenAI's capabilities for content generation and image creation, streamlining the process of producing engaging visual posts.

What it does

This workflow performs the following key steps:

  1. Manual Trigger: Initiates the workflow upon a manual click, allowing for on-demand content generation.
  2. OpenAI Content Generation: Utilizes OpenAI to generate textual content, likely for the carousel slides.
  3. Edit Fields: Prepares and structures the generated content for further processing.
  4. Split Out: Divides the content into individual items, presumably one for each carousel slide.
  5. OpenAI Image Generation: For each content item, it uses OpenAI to generate a corresponding image.
  6. Merge: Combines the generated content and images back into a single data structure.
  7. Convert to File: Transforms the combined data into a file format, potentially for easy handling or upload.
  8. HTTP Request: Sends an HTTP request, which could be used to publish the generated carousel to a social media platform or another service.
  9. Code: Executes custom JavaScript code, potentially for final data manipulation, logging, or advanced integration.

Prerequisites/Requirements

To use this workflow, you will need:

  • OpenAI API Key: For generating text content and images.
  • n8n Instance: To run and manage the workflow.
  • Target Social Media Account (Optional): If you intend to publish directly, you might need API access or integration details for TikTok, Instagram, or a social media management tool.

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 as an n8n credential for the "OpenAI" nodes.
  3. Customize Content Generation:
    • Modify the "OpenAI" node for content generation to specify your desired prompts and content style for the carousel slides.
    • Adjust the "OpenAI" node for image generation to define image prompts suitable for your content.
  4. Review and Adjust HTTP Request:
    • If publishing to a social media platform, configure the "HTTP Request" node with the appropriate API endpoint, authentication, and payload structure for your chosen platform.
  5. Review and Adjust Code Node:
    • If the "Code" node contains specific logic, review and modify it as needed for your use case.
  6. Execute the Workflow: Click "Execute Workflow" in the "Manual Trigger" node to run the process.

Related Templates

Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets

This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.

Ranjan DailataBy Ranjan Dailata
161

Two-way property repair management system with Google Sheets & Drive

This workflow automates the repair request process between tenants and building managers, keeping all updates organized in a single spreadsheet. It is composed of two coordinated workflows, as two separate triggers are required — one for new repair submissions and another for repair updates. A Unique Unit ID that corresponds to individual units is attributed to each request, and timestamps are used to coordinate repair updates with specific requests. General use cases include: Property managers who manage multiple buildings or units. Building owners looking to centralize tenant repair communication. Automation builders who want to learn multi-trigger workflow design in n8n. --- ⚙️ How It Works Workflow 1 – New Repair Requests Behind the Scenes: A tenant fills out a Google Form (“Repair Request Form”), which automatically adds a new row to a linked Google Sheet. Steps: Trigger: Google Sheets rowAdded – runs when a new form entry appears. Extract & Format: Collects all relevant form data (address, unit, urgency, contacts). Generate Unit ID: Creates a standardized identifier (e.g., BUILDING-UNIT) for tracking. Email Notification: Sends the building manager a formatted email summarizing the repair details and including a link to a Repair Update Form (which activates Workflow 2). --- Workflow 2 – Repair Updates Behind the Scenes:\ Triggered when the building manager submits a follow-up form (“Repair Update Form”). Steps: Lookup by UUID: Uses the Unit ID from Workflow 1 to find the existing row in the Google Sheet. Conditional Logic: If photos are uploaded: Saves each image to a Google Drive folder, renames files consistently, and adds URLs to the sheet. If no photos: Skips the upload step and processes textual updates only. Merge & Update: Combines new data with existing repair info in the same spreadsheet row — enabling a full repair history in one place. --- 🧩 Requirements Google Account (for Forms, Sheets, and Drive) Gmail/email node connected for sending notifications n8n credentials configured for Google API access --- ⚡ Setup Instructions (see more detail in workflow) Import both workflows into n8n, then copy one into a second workflow. Change manual trigger in workflow 2 to a n8n Form node. Connect Google credentials to all nodes. Update spreadsheet and folder IDs in the corresponding nodes. Customize email text, sender name, and form links for your organization. Test each workflow with a sample repair request and a repair update submission. --- 🛠️ Customization Ideas Add Slack or Telegram notifications for urgent repairs. Auto-create folders per building or unit for photo uploads. Generate monthly repair summaries using Google Sheets triggers. Add an AI node to create summaries/extract relevant repair data from repair request that include long submissions.

Matt@VeraisonLabsBy Matt@VeraisonLabs
208

Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax

Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. 📋 What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing 🔧 Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation 🔑 Required Credentials OpenAI API Setup Go to platform.openai.com → API keys (sidebar) Click "Create new secret key" → Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai → Dashboard → API Keys Generate a new API key → Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) ⚙️ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflow—chat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" 🎯 Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration ⚠️ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions

Daniel NkenchoBy Daniel Nkencho
601