🚀 AI-Powered LinkedIn Post Generator with Automated Image Creation
🚀 AI-Powered LinkedIn Post Generator with Automated Image Creation 📋 Overview Transform any topic into professional LinkedIn posts with AI-generated content and custom images! This workflow automates the entire process from topic input to published LinkedIn post, including professional image generation using Google's Imagen 4 API. ✨ Key Features 🤖 AI Content Generation: Uses Google Gemini to create engaging LinkedIn posts 🎨 Professional Image Creation: Automatically generates images using Google Imagen 4 📱 Direct LinkedIn Publishing: Posts content and images directly to your LinkedIn feed 🔄 Form-Based Input: Simple web form to submit topics 📝 Content Formatting: Converts markdown to LinkedIn-friendly format 🔧 What This Workflow Does 📝 Form Submission: User submits a topic through a web form 🗺️ Data Mapping: Maps the topic for AI processing 🧠 AI Content Generation: Google Gemini creates post content and image prompt 🎯 Content Normalization: Cleans and formats the AI output 🖼️ Image Generation: Creates professional images using Google Imagen 4 📤 LinkedIn Registration: Registers image upload with LinkedIn API 🔄 Binary Conversion: Converts base64 image to binary buffer ⬆️ Image Upload: Uploads image to LinkedIn 📋 Content Curation: Converts markdown to LinkedIn format ⏳ Processing Wait: Ensures image is fully processed 🚀 Post Publishing: Publishes the complete post to LinkedIn 🛠️ Prerequisites & Setup 🔑 Required Credentials 1. LinkedIn OAuth 2.0 Setup 🔗 You'll need to create a LinkedIn app with the following OAuth 2.0 scopes: ✅ openid - Use your name and photo ✅ profile - Use your name and photo ✅ w_member_social - Create, modify, and delete posts, comments, and reactions on your behalf ✅ email - Use the primary email address associated with your LinkedIn account Steps to get LinkedIn credentials: Go to LinkedIn Developer Portal Create a new app or use existing one Configure OAuth 2.0 settings with the scopes above Get your access token from the authentication flow 2. Google Cloud Platform Setup ☁️ Required GCP Services to Enable: 🎯 Vertex AI API - For Imagen 4 image generation 🔐 Cloud Resource Manager API - For project management 🛡️ IAM Service Account Credentials API - For authentication Steps to get GCP token: Install Google Cloud SDK Authenticate: gcloud auth login Set project: gcloud config set project YOUR_PROJECT_ID Get access token: gcloud auth print-access-token > 💡 Note: The access token expires after 1 hour. For production use, consider using service account credentials. 🔧 n8n Node Credentials Setup LinkedIn OAuth2 API: Configure with your LinkedIn app credentials HTTP Bearer Auth (LinkedIn): Use your LinkedIn access token HTTP Bearer Auth (Google Cloud): Use your GCP access token Google Gemini API: Configure with your Google AI API key 📊 Workflow Structure graph LR A[📝 Form Trigger] --> B[🗺️ Mapper] B --> C[🤖 AI Agent] C --> D[🎯 Normalizer] D --> E[🖼️ Text to Image] E --> F[📤 Register Upload] F --> G[🔄 Binary Converter] G --> H[⬆️ Upload Image] H --> I[📋 Content Curator] I --> J[⏳ Wait] J --> K[🚀 Publish to LinkedIn] 🎨 Image Generation Details The workflow uses Google Imagen 4 with these parameters: 📐 Aspect Ratio: 1:1 (perfect for LinkedIn) 🎯 Sample Count: 1 options generated 🛡️ Safety Setting: Block few (content filtering) 💧 Watermark: Enabled 🌍 Language: Auto-detect 📝 Content Processing The AI generates content in this JSON structure: { "post_content": { "text": "Your engaging LinkedIn post content with hashtags" }, "image_prompt": { "description": "Professional image generation prompt" } } 🔄 LinkedIn API Integration Image Upload Process: Register Upload: Creates upload session with LinkedIn Binary Upload: Uploads image as binary data Post Creation: Creates post with text and image reference API Endpoints Used: 📤 POST /v2/assets?action=registerUpload - Register image upload 📝 POST /v2/ugcPosts - Create LinkedIn post ⚠️ Important Notes 🕐 Rate Limits: LinkedIn has API rate limits - monitor your usage ⏱️ Processing Time: Image generation can take 10-30 seconds 🔄 Token Refresh: GCP tokens expire hourly in development 📏 Content Length: LinkedIn posts have character limits 🖼️ Image Size: Generated images are optimized for LinkedIn 🚀 Getting Started Import the workflow into your n8n instance Configure all credentials as described above Enable required GCP services in your project Test the form trigger with a sample topic Monitor the execution for any errors Adjust the AI prompt if needed for your content style 🛠️ Customization Options 🎨 Modify image style in the system prompt 📝 Adjust content tone in the AI agent configuration 🔄 Change wait time between upload and publish 🎯 Add content filters for brand compliance 📊 Include analytics tracking for post performance 💡 Tips for Best Results 🎯 Be specific with your topic inputs 🏢 Use professional language for business content 🔍 Review generated content before publishing 📈 Monitor engagement to refine your prompts 🔄 Test thoroughly before production use 🐛 Troubleshooting Common Issues: ❌ "Invalid credentials": Check token expiration ❌ "Image upload failed": Verify LinkedIn API permissions ❌ "Content generation error": Check Gemini API quota ❌ "Post creation failed": Ensure proper wait time after image upload 📚 Additional Resources 📖 LinkedIn Marketing API Documentation 🤖 Google Vertex AI Imagen Documentation 🔧 n8n Documentation 🚀 Google Gemini API Guide 💬 Need Help? Join the n8n community forum or check the troubleshooting section above! 🌟 Found this useful? Give it a star and share your improvements with the community!. An n8n automation workflow template by Naitik Joshi.
Naitik Joshi
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