Generate AI Images from Text Prompts with Gemini 2.0, Google Sheets & Drive

This n8n template demonstrates how to automate the creation of high-quality visual content using AI. The workflow takes simple titles from a Google Sheets spreadsheet, generates detailed artistic prompts using AI, creates photorealistic images, and manages the entire process from data input to final delivery.

Use cases are many: Perfect for digital marketers, content creators, social media managers, e-commerce businesses, advertising agencies, and anyone needing consistent, high-quality visual content for marketing campaigns, social media posts, or brand materials!

Good to know

The Gemini 2.0 Flash Exp image generation model used in this workflow may have geo-restrictions. The workflow processes one image at a time to ensure quality and avoid rate limiting. Each generated image maintains high consistency with the source prompt and shows minimal AI artifacts.

How it works

Automated Trigger: A schedule trigger runs every minute to check for new entries in your Google Sheets spreadsheet.

Data Retrieval: The workflow fetches rows from your Google Sheets document, specifically looking for entries with "pending" status.

AI Prompt Generation: Using Google Gemini, the workflow takes simple titles and transforms them into detailed, artistic prompts for image generation. The AI considers: Specific visual elements, styles, and compositions Natural poses, interactions, and environmental context Lighting conditions and mood settings Brand consistency and visual appeal Proper aspect ratios for different platforms

Text Processing: A code node ensures proper JSON formatting by escaping newlines and maintaining clean text structure.

Image Generation: Gemini's advanced image generation model creates photorealistic images based on the detailed prompts, ensuring high-quality, consistent results.

File Management: Generated images are automatically uploaded to a designated folder in Google Drive with organized naming conventions.

Public Sharing: Images are made publicly accessible with read permissions, enabling easy sharing and embedding.

Database Update: The workflow completes by updating the Google Sheets with the generated image URL and changing the status from "pending" to "posted", creating a complete audit trail.

How to use

Setup: Ensure you have the required Google Sheets document with columns for ID, prompt, status, and imageUrl.

Configuration: Update the Google Sheets document ID and folder IDs in the respective nodes to match your setup.

Activation: The workflow is currently inactive - activate it in n8n to start processing.

Data Input: Simply add new rows to your Google Sheets with titles and set status to "pending" - the workflow will automatically process them.

Monitoring: Check the Google Sheets for updated status and image URLs to track progress.

Requirements

Google Gemini API** account for LLM and image generation capabilities Google Drive** for file storage and management Google Sheets** for data input and tracking n8n instance** with proper credentials configured

Customizing this workflow

Content Variations: Try different visual styles, seasonal themes, or trending designs by modifying the AI prompt in the LangChain agent.

Output Formats: Adjust the aspect ratio or image specifications for different platforms (Instagram, Pinterest, TikTok, Facebook ads, etc.).

Integration Options: Replace the schedule trigger with webhooks for real-time processing, or add notification nodes for status updates.

Batch Processing: Modify the limit node to process multiple items simultaneously, though be mindful of API rate limits.

Quality Control: Add additional validation nodes to ensure generated images meet quality standards before uploading.

Analytics: Integrate with analytics platforms to track image performance and engagement metrics.

This workflow provides a complete solution for automated visual content creation, perfect for businesses and creators looking to scale their visual content production while maintaining high quality and consistency across all marketing materials.

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intermediate
Complexity
Author:Muhammad Farooq Iqbal(View Original →)
Created:9/10/2025
Updated:9/24/2025

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