Block 1 - Manual Trigger
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
Batch Ad Banner Generator with gpt-image-2 and Sharp
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1. Workflow Overview
This workflow automates batch ad banner production from existing source images. It is designed for teams that already store campaign source images in Google Drive and want to generate multiple ad f...
Best for
- Content Creation automation workflows
- Multimodal AI automation workflows
- intermediate n8n builders looking for reusable templates
Tools used
n8n-nodes-base.manualtrigger, n8n-nodes-base.stickynote, n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.splitinbatches, n8n-nodes-base.googledrive, @n8n/n8n-nodes-langchain.openai
Source and attribution
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Leo Wood.
Original n8n.io source1.1 Workflow description
- Title
- Batch Ad Banner Generator with gpt-image-2 and Sharp
- Workflow name
- Batch Ad Banner Generator with gpt-image-2 and Sharp
This workflow automates batch ad banner production from existing source images.
It is designed for teams that already store campaign source images in Google Drive and want to generate multiple ad formats such as 300x250, 728x90, 160x600, 320x100, 300x50, and 970x250.
The workflow uses Google Sheets as the job queue. Each row contains the source Google Drive file ID, edit instruction, headline, CTA, target banner sizes, and output folder ID. n8n downloads the source image from Google Drive, passes it to the native OpenAI Edit Image node for optional refinement, then uses a Code node with sharp to crop and resize the image into exact pixel dimensions. The generated banners are uploaded back to Google Drive, and the workflow updates the original Google Sheets row with output links, file names, timestamp, and status.
This approach avoids asking an image model to generate every ad size directly. The model handles the creative refinement, while sharp handles deterministic resizing and exact banner dimensions.
1.2 Logical Blocks
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.
2. Block-by-Block Analysis
Block 2 - Sticky Note - Overview
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 3 - Sticky Note - Sheet Format
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 4 - Sticky Note - Sharp Setup
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 5 - Google Sheets - Read Jobs
- Type / Role
- n8n-nodes-base.googleSheets - googleSheets
- Config choices
- Version 4.5
Block 6 - Code - Normalize Pending Rows
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 7 - Split In Batches
- Type / Role
- n8n-nodes-base.splitInBatches - splitInBatches
- Config choices
- Version 3
Block 8 - Google Drive - Download Source Image
- Type / Role
- n8n-nodes-base.googleDrive - googleDrive
- Config choices
- Version 3
Block 9 - Edit image
- Type / Role
- @n8n/n8n-nodes-langchain.openAi - openAi
- Config choices
- Version 2.1
Block 10 - Code - Build Banner Sizes With Sharp
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 11 - Google Drive - Upload Banner
- Type / Role
- n8n-nodes-base.googleDrive - googleDrive
- Config choices
- Version 3
Block 12 - Code - Collect Upload Links
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 13 - Google Sheets - Update Result
- Type / Role
- n8n-nodes-base.googleSheets - googleSheets
- Config choices
- Version 4.5
3. Summary Table
| Workflow | Batch Ad Banner Generator with gpt-image-2 and Sharp |
|---|---|
| Complexity | intermediate |
| Nodes | 13 |
| Categories | Content Creation, Multimodal AI |
| Author | Leo Wood |
| Published | 20 May 2026 |
4. Reproducing the Workflow from Scratch
-
1. Download the workflow JSON
Use the JSON export at /data/workflows/15837/15837.json as the source template for this automation.
-
2. Import the template into n8n
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
-
3. Configure credentials and variables
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
-
4. Test with sample data
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
-
5. Activate and monitor
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
5. General Notes & Resources
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.
Frequently asked questions
What does Batch Ad Banner Generator with gpt-image-2 and Sharp do?
This workflow automates batch ad banner production from existing source images. It is designed for teams that already store campaign source images in Google Drive and want to generate multiple ad f...
What do I need before importing this workflow?
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Can I customize this workflow?
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.