Block 1 - Convert to File
- Type / Role
- n8n-nodes-base.convertToFile - convertToFile
- Config choices
- Version 1.1
This workflow is provided as-is. Please review and test before using in production.
How it works 1. Trigger the workflow manually via the n8n UI. 2. Define key parameters like the image prompt, number of images, size, quality, and model. 3. Send a POST request to OpenAI’s image ge...
n8n-nodes-base.converttofile, n8n-nodes-base.httprequest, n8n-nodes-base.manualtrigger, n8n-nodes-base.set, n8n-nodes-base.splitout, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Max aka Mosheh.
Original n8n.io sourceHow it works
Set up steps
Initial setup takes around 5–10 minutes. You’ll need an OpenAI API key, a configured HTTP Request node with credentials, and to customize the prompt/parameter fields in the “Set Variables” node. No advanced config or external services needed.
Important Note You have to make sure to complete OpenAI's new verification requirements to use their new image API: https://help.openai.com/en/articles/10910291-api-organization-verification
It only takes a few minutes and does not cost any money.
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 custom AI images with OpenAI GPT-Image-1 model |
|---|---|
| Complexity | intermediate |
| Nodes | 6 |
| Categories | Content Creation, Multimodal AI |
| Author | Max aka Mosheh |
| Published | 25 Apr 2025 |
Use the JSON export at /data/workflows/3705/3705.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.
How it works 1. Trigger the workflow manually via the n8n UI. 2. Define key parameters like the image prompt, number of images, size, quality, and model. 3. Send a POST request to OpenAI’s image ge...
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.