AI-Driven Image Stitching and Upload in n8n Workflow

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This n8n workflow showcases how to automate the process of combining images using AI, transforming, and uploading them to Google Drive. Triggered manually, it retrieves images from cloud storage, converts them for AI processing, and uses Google’s Gemini API to compose new images based on user-defined prompts. The composed image is then converted back to a file and uploaded to Google Drive, facilitating efficient creation of composite visuals for marketing, storyboarding, or design purposes.

The workflow begins with a manual trigger, allowing users to initiate the process on demand. It then fetches images from specified URLs, converts them into base64 strings, and merges these data points into a single payload for the Gemini AI. The AI generates a composite image based on a descriptive prompt that preserves original styles and assets. This image data is then converted into a binary file and uploaded to Google Drive for easy access and sharing.

Practical use cases include creating consistent storyboards, marketing visuals, or product displays by leveraging AI to seamlessly stitch different assets while maintaining style coherence. This automation saves manual effort and ensures high-quality, consistent visuals suitable for various creative projects.

Node Count

11 – 20 Nodes

Nodes Used

aggregate, convertToFile, extractFromFile, googleDrive, httpRequest, manualTrigger, merge, set, stickyNote

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