Generate LinkedIn posts with Gemini content & Imagen images for instant publishing

🚀 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 1. 📝 Form Submission: User submits a topic through a web form 2. 🗺️ Data Mapping: Maps the topic for AI processing 3. 🧠 AI Content Generation: Google Gemini creates post content and image prompt 4. 🎯 Content Normalization: Cleans and formats the AI output 5. 🖼️ Image Generation: Creates professional images using Google Imagen 4 6. 📤 LinkedIn Registration: Registers image upload with LinkedIn API 7. 🔄 Binary Conversion: Converts base64 image to binary buffer 8. ⬆️ Image Upload: Uploads image to LinkedIn 9. 📋 Content Curation: Converts markdown to LinkedIn format 10. ⏳ Processing Wait: Ensures image is fully processed 11. 🚀 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 - ✅ wmembersocial - 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: 1. Go to LinkedIn Developer Portal 2. Create a new app or use existing one 3. Configure OAuth 2.0 settings with the scopes above 4. 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: 1. Install Google Cloud SDK 2. Authenticate: gcloud auth login 3. Set project: gcloud config set project YOURPROJECTID 4. 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 1. LinkedIn OAuth2 API: Configure with your LinkedIn app credentials 2. HTTP Bearer Auth (LinkedIn): Use your LinkedIn access token 3. HTTP Bearer Auth (Google Cloud): Use your GCP access token 4. Google Gemini API: Configure with your Google AI API key 📊 Workflow Structure mermaid 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: json { "postcontent": { "text": "Your engaging LinkedIn post content with hashtags" }, "imageprompt": { "description": "Professional image generation prompt" } } 🔄 LinkedIn API Integration Image Upload Process: 1. Register Upload: Creates upload session with LinkedIn 2. Binary Upload: Uploads image as binary data 3. Post Creation: Creates post with text and image reference API Endpoints Used: - 📤 POST /v2/assets?action=regist