Library / Image, Video & Audio
Image, Video & Audio
Place Text on Images with Gemini Positioning
When you run it, Gemini analyzes an image to find the best text position, then the image is resized and the text applied.
What it does
# Manualtrigger Workflow ## Overview Automated workflow: Manualtrigger Workflow. This workflow integrates 10 different services: stickyNote, httpRequest, code, lmChatGoogleGemini, chainLlm. It contains 19 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 19 - Node Types: 10 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When clicking ‘Test workflow’: manualTrigger - Google Gemini Chat Model: lmChatGoogleGemini - Structured Output Parser: outputParserStructured - Get Info: editImage - Resize For AI: editImage - Calculate Positioning: code - Apply Caption to Image: editImage - Sticky Note: stickyNote - Merge Image & Caption: merge - Merge Caption & Positions: merge - ... and 9 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible
The steps
- When clicking ‘Test workflow’
- Google Gemini Chat Model
- Structured Output Parser
- Get Info
- Resize For AI
- Calculate Positioning
- Apply Caption to Image
- Merge Image & Caption
- Merge Caption & Positions
- Get Image
- Image Captioning Agent
- Error Handler
- Error Handler for a875d1c5
- Error Handler for b6c28913
22 steps in total.
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