Block 1 - When clicking ‘Test workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
This template integrates OpenAI's image generation and editing endpoints via the GPT Image 1 model to visually create and manipulate images based on prompts. It features base64 conversion, binary h...
n8n-nodes-base.manualtrigger, n8n-nodes-base.httprequest, n8n-nodes-base.converttofile, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Edoardo Guzzi.
Original n8n.io sourceThis template integrates OpenAI's image generation and editing endpoints via the GPT-Image-1 model to visually create and manipulate images based on prompts. It features base64 conversion, binary handling, and prompt chaining.
Perfect for marketing, design, product visuals and creative workflows.
🛠️ Requirements OpenAI account with access to gpt-image-1(probably you need organizations verifications for access to that model)
OpenAI API credentials configured in n8n
A self-hosted or cloud n8n instance
Basic familiarity with the n8n UI (no programming required)
🔧 Step-by-step Instructions
Step 1: Manual Trigger Starts the workflow on click. Ideal for testing the generation and edit logic.
Step 2: Generate Image The Create image call node sends a prompt to OpenAI and returns a base64 image.
Example prompt:
A cyberpunk city at night with flying cars and neon lights
Step 3: Convert to Binary The base64 image is converted into a usable binary PNG file with the Convert json binary to File node.
Step 4: Edit the Image The binary file is passed to OpenAI’s /images/edits endpoint. A new prompt applies changes to the image.
Example:
Add a glowing robot in the foreground with a neon sword
✅ Supports model: gpt-image-1 ⚠️ Requires binary file (not base64)
Step 5: Final Conversion Converts the final edited image from base64 to file so it can be downloaded or used in other nodes.
🎯 Real-World Use Cases 🎨 Artists & Creators: concept art and illustration variations
🛍️ E-commerce: auto-generate product mockups
📰 Marketing: create eye-catching blog or social visuals
💡 Bonus Ideas Add a Telegram or Slack node to generate or edit images via chat
Use a Webhook to feed prompts from a form or frontend
Add a mask to restrict edits to specific areas (e.g., background only)
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 and Edit Images with OpenAI's GPT-Image-1 Model |
|---|---|
| Complexity | intermediate |
| Nodes | 11 |
| Categories | Content Creation, Multimodal AI |
| Author | Edoardo Guzzi |
| Published | 24 Apr 2025 |
Use the JSON export at /data/workflows/3696/3696.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.
This template integrates OpenAI's image generation and editing endpoints via the GPT Image 1 model to visually create and manipulate images based on prompts. It features base64 conversion, binary h...
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.