Block 1 - Merge
- Type / Role
- n8n-nodes-base.merge - merge
- Config choices
- Version 3.1
1. How it works Reads product image links from a Google Sheet. Analyzes each image, generates an AI prompt, and combines the product with a human model image. Creates final AI advertising photos an...
n8n-nodes-base.merge, n8n-nodes-base.googlesheets, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.googledrive, n8n-nodes-base.stickynote, n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.lmchatgooglegemini
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Vuong Nguyen.
Original n8n.io source2.1. Prepare your Google assets Google Sheet
Create or copy a spreadsheet. Create two sheets, for example: Sheet A (input): e.g. “Product Images” Required column: Image-URL Sheet B (output): e.g. “Output Images” Required columns: Image-URL, Prompt, Output Google Drive
Create a folder to store generated AI images (e.g. “AI Product Photos”). Upload one model image (e.g. Model.png) that will be used as the human model in all generated photos. n8n credentials
In n8n, make sure you have: A Google Sheets credential (your Google account). A Google Drive credential. A Google Gemini / PaLM API credential. 2.2. Update the workflow nodes Open the workflow “Automated generation of AI advertising photos for product marketing” and update these nodes:
Node: “Read Image URLs” (Google Sheets)
Set Document / Spreadsheet to your product spreadsheet. Set Sheet to your input sheet (e.g. “Product Images”). Make sure that sheet has a column named exactly Image-URL. Node: “Insert Image URL in Table” (Google Sheets)
Operation: appendOrUpdate (keep as is). Set Document / Spreadsheet to the same spreadsheet as above (or another one if you prefer). Set Sheet to your output sheet (e.g. “Output Images”). Make sure the output sheet has columns: Image-URL Prompt Output Matching column: Image-URL (keeps update‐by‐product behavior). Node: “Download model image” (Google Drive)
Choose your model image file from Google Drive. This is the image of the human model that will appear in all generated photos. Node: “Upload to Drive” (Google Drive)
Set Folder to your AI output folder (e.g. “AI Product Photos”) where you want all generated images to be saved. Credentials in each Google node
For each Google Sheets / Drive node, select your Google accounts in the “Credentials” section if they are not already set. After these 4–5 fields are updated, the workflow is fully adapted to your environment.
Log into n8n. Open the workflow “Automated generation of AI advertising photos for product marketing”. Click “Test workflow” or “Execute workflow”. Wait until it finishes. 4. Viewing results In Google Drive:
Open your chosen output folder (e.g. “AI Product Photos”). All generated advertising photos are stored there. In Google Sheets (output sheet):
Image-URL: product image link used as input. Prompt: the AI prompt used to generate the image. Output: a web link to the generated image on Google Drive. Re‐running the workflow with the same Image-URL will update the existing row instead of creating duplicates.
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 | Generate AI product marketing photos from Google Sheets with Google Gemini and Drive |
|---|---|
| Complexity | advanced |
| Nodes | 19 |
| Categories | Content Creation, Multimodal AI |
| Author | Vuong Nguyen |
| Published | 02 Mar 2026 |
Use the JSON export at /data/workflows/13804/13804.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.
1. How it works Reads product image links from a Google Sheet. Analyzes each image, generates an AI prompt, and combines the product with a human model image. Creates final AI advertising photos an...
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.