Block 1 - Google Sheets2
- Type / Role
- n8n-nodes-base.googleSheets - googleSheets
- Config choices
- Version 4.5
This workflow is provided as-is. Please review and test before using in production.
️ Text to Image Generator using n8n + Flux AI This n8n workflow automates image generation from text prompts using the [Text to Image Flux AI API](https://rapidapi.com/PrineshPatel/api/text to im...
n8n-nodes-base.googlesheets, n8n-nodes-base.splitinbatches, n8n-nodes-base.wait, n8n-nodes-base.manualtrigger, n8n-nodes-base.if, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.googledrive
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Evoort Solutions.
Original n8n.io sourceThis n8n workflow automates image generation from text prompts using the Text-to-Image Flux AI API. It reads prompts from Google Sheets, generates images via API, uploads them to Google Drive, and logs the outcome.
Your source Google Sheet should include the following columns:
| Column Name | Description |
|---|---|
Prompt |
The text prompt to generate an image from |
drive path |
(Optional) File path or URL of saved image |
Generated Date |
Date/time the image was generated |
Base64 |
Base64 string or error message (for logging) |
Only rows with a non-empty Prompt and empty drive path will be processed.
Perfect for:
Uses the Text-to-Image Flux AI API to generate high-quality images on demand.
| Step | Node | Description |
|---|---|---|
| 1 | Manual Trigger | Manually start the workflow |
| 2 | Google Sheets2 | Reads prompts from Google Sheets |
| 3 | Loop Over Items | Processes rows one by one |
| 4 | If2 | Skips rows that already have images |
| 5 | HTTP Request1 | Calls Text-to-Image Flux AI via RapidAPI |
| 6 | Code1 | Converts base64 image to binary file |
| 7 | Google Drive1 | Uploads the image file to a Drive folder |
| 8 | Google Sheets1 | Logs base64 result and timestamp back |
| 9 | If1 | Handles errors from the API |
| 10 | Google Sheets4 | Logs errors to the sheet |
| 11 | Wait | Adds delay between batches to prevent rate-limiting |
This flow is powered by Text-to-Image Flux AI.
Be sure to:
"your key" in the HTTP Request1 node’s x-rapidapi-key header.You can test the API directly here before connecting it to n8n.
Prompt column — leave drive path and Base64 empty for new prompts.Create your free n8n account and set up the workflow in just a few minutes using the link below:
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This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Text-to-image generator with Google Sheets & Drive integration using Flux AI |
|---|---|
| Complexity | advanced |
| Nodes | 23 |
| Categories | Content Creation, Multimodal AI |
| Author | Evoort Solutions |
| Published | 12 Jul 2025 |
Use the JSON export at /data/workflows/5900/5900.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
️ Text to Image Generator using n8n + Flux AI This n8n workflow automates image generation from text prompts using the [Text to Image Flux AI API](https://rapidapi.com/PrineshPatel/api/text to im...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.