Automated AI media creation with MagicHour AI and GPT-4 prompt optimization
This workflow automates AI-powered image and video generation using MagicHour.ai's API, enhanced by GPT-4.1 for intelligent prompt optimization. It processes webhook requests, refines prompts using AI, generates media content, and returns the final output.
Who's it for
Content creators, marketers, social media managers, and developers who need automated AI media generation at scale. Perfect for teams building applications that require on-demand image or video creation without manual intervention.
How it works
The workflow receives a webhook POST request containing generation parameters (type, orientation, style, duration). GPT-4.1 analyzes and optimizes the user's prompt based on the request type (image or video), then sends it to MagicHour.ai's API. The workflow monitors the generation status through polling loops, downloads the completed media, and returns it via webhook response. Error handling ensures failed requests are captured and reported.
Requirements
- n8n instance (self-hosted or cloud)
- MagicHour.ai account with API access (Bearer token)
- OpenAI API account for GPT-4.1 access
- Basic understanding of webhooks and JSON
How to set up
Configure credentials:
- Add MagicHour.ai Bearer token in HTTP Request nodes (ai-image-generator, text-to-video, Get Image Details, Get Video Details)
- Add OpenAI API credentials in both Generate Image Prompt and Generate video Prompt nodes
Activate the workflow:
- Enable the workflow to activate the webhook endpoint
- Copy the webhook URL from the Webhook trigger node
Test the workflow:
Download the n8n-magichour HTML tester Click here to download
For image generation, send a POST request with this structure:
{
"action": "generate",
"type": "image",
"parameters": {
"name": "My Image",
"image_count": 1,
"orientation": "landscape",
"style": {
"prompt": "A serene mountain landscape at sunset",
"tool": "realistic"
}
}
}
For video generation, use:
{
"action": "generate",
"type": "video",
"parameters": {
"name": "My Video",
"end_seconds": 5,
"orientation": "landscape",
"resolution": "1080p",
"style": {
"prompt": "A dog running through a field"
}
}
}
How to customize the workflow
Adjust AI prompt optimization: Modify the system prompts in Generate Image Prompt or Generate video Prompt nodes to change how GPT-4.1 refines user inputs. Current prompts enforce strict character limits and avoid unauthorized content.
Change polling intervals: Modify the Wait nodes to adjust how frequently the workflow checks generation status (useful for longer video renders).
Modify response format: Update the Respond to Webhook node to customize the output structure sent back to the caller.
Add multiple output formats: Extend Download Image/Video nodes to save files to cloud storage (Google Drive, S3) instead of just returning via webhook.
Implement queue management: Add a database node before MagicHour.ai calls to queue requests and prevent API rate limiting.
n8n Workflow: AI Media Creation with MagicHour.ai and GPT-4 Prompt Optimization
This n8n workflow automates the process of generating AI-optimized prompts and then using those prompts to create media via an external AI service. It's designed to streamline content creation by integrating advanced AI capabilities.
What it does
This workflow simplifies and automates the following steps:
- Receives a Trigger: The workflow starts by listening for an incoming webhook. This webhook likely contains initial data or a request to start the AI media creation process.
- Sets Initial Data: It then processes the incoming data, potentially setting or transforming fields for subsequent AI operations.
- Optimizes Prompt with OpenAI: It sends a request to OpenAI (likely using GPT-4 or a similar model) to optimize a prompt. This step enhances the initial prompt for better results from the media generation AI.
- Conditional Logic: It includes a conditional check (
Ifnode), which suggests that the workflow might branch based on the output of the OpenAI optimization or some other criteria. - Creates Media via HTTP Request: If the condition is met (or as a direct follow-up to the prompt optimization), it makes an HTTP request to an external API. This API is presumed to be
MagicHour.ai(based on the directory name) or a similar service that takes the optimized prompt and generates media. - Waits for Completion (Optional): A
Waitnode is included, indicating that the workflow might pause for a specified duration, possibly waiting for the media generation process to complete or for a callback. - Responds to Webhook: Finally, it responds to the initial webhook, indicating the status or providing the results of the media creation process.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- OpenAI API Key: An API key for OpenAI to utilize models like GPT-4 for prompt optimization.
- MagicHour.ai Account/API Access: Access to the MagicHour.ai API (or a similar AI media creation service) to generate media.
- Webhook Source: An application or service that can send HTTP POST requests to trigger this workflow.
Setup/Usage
- Import the Workflow: Download the provided JSON and import it into your n8n instance.
- Configure Credentials:
- OpenAI Node: Configure your OpenAI API credentials in the "OpenAI" node (ID: 1250).
- HTTP Request Node: Configure the "HTTP Request" node (ID: 19) with the correct API endpoint and authentication details for your AI media creation service (e.g., MagicHour.ai).
- Activate the Webhook Trigger:
- The "Webhook" node (ID: 47) will generate a unique URL when activated. Copy this URL.
- Configure your external application or service to send POST requests to this URL to initiate the workflow.
- Adjust 'Edit Fields' Node: Modify the "Edit Fields" node (ID: 38) to correctly process and prepare the data received from your webhook for the OpenAI prompt optimization.
- Review 'If' Node Logic: Examine the "If" node (ID: 20) and adjust its conditions based on your specific requirements for branching the workflow.
- Configure 'Wait' Node: If necessary, adjust the duration in the "Wait" node (ID: 514) to accommodate the expected processing time of your media creation API.
- Test the Workflow: Run a test trigger from your external application to ensure the workflow executes as expected and generates the desired media.
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