Gemini konumlandırmasıyla görsellere metin yerleştirme

# 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