Enhance Google Drive images with Gemini 2.5 Flash AI

🚀 Google Drive Image Enhancement with Gemini nano banana This workflow automates image enhancement by integrating Google Drive with Google Gemini. It fetches unprocessed images from a source folder, applies AI-driven transformations based on a customizable prompt (e.g., clean and realistic product backgrounds), and uploads the enhanced results into a destination folder—streamlining e-commerce catalog preparation or creative pipelines.

🔑 Key Features

• Customizable Prompt Node → Easily adjust the style/instructions for Gemini (e.g., backgrounds, lighting, focus).
• Google Drive Integration → Automatically fetches images from a source folder and uploads results to a target folder.
• AI Processing via Gemini → Converts original images to Base64, sends them with the prompt to Gemini, and returns enhanced versions.
• Image Filtering → Processes only files whose mimeType contains "image".
• Loop Handling → Iterates over all images in the source folder until all are processed.

⚙️ Setup Instructions

1. Configure Prompt

   • Open the promt node.
   • Replace the text with your desired Gemini instructions (e.g., "Add a clean, realistic background for baby products").

2. Set Google Drive Folders

   • In origin_folder → set Search Query to the name of the source folder (with unprocessed images).
   • In destination_folder → set Search Query to the name of the target folder (to save results).

3. Credentials

   • Provide valid Google Drive OAuth2 credentials for both Drive nodes.
   • Provide a Google Gemini API credential for the banana-request node.

4. Run the Workflow

   • Trigger from the init node.
   • Workflow will download → convert → send to Gemini → reconvert → upload results automatically.

🛠 Customization Guidance

• Modify the prompt text to change how Gemini processes the images (background, style, product focus).
• Swap Search Query for folder IDs in Drive nodes if you need more precise targeting.
• Extend the workflow by chaining post-processing (e.g., watermarking, resizing, or tagging metadata).

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