Introduction
Automation engineers and marketers increasingly seek ways to speed up content production. Combining n8n with JuheAPI’s Wisdom Gate offers a powerful, automated AI video workflow.
Core Workflow Components
LLM Scripting
Use a large language model (LLM) to generate tailored video scripts or prompts based on input parameters such as audience type, messaging, or seasonal themes.
AI Video Generation via JuheAPI Wisdom Gate
JuheAPI’s video generation models allow you to turn text prompts into high-quality videos. For advanced needs, Sora 2 Pro yields smoother sequences and cohesive scenes.
Video Publishing Automation
Integrate automated uploading to YouTube, Vimeo, or corporate CMS via n8n after generation completes.
Getting Started with Sora 2 Pro
Step 1: Sign Up and Get API Key
Visit Wisdom Gate’s dashboard, create an account, and retrieve your API key. This dashboard also tracks all active tasks.
Step 2: Model Selection
Choose sora-2-pro for smoother sequences, better scene cohesion, and longer durations.
Step 3: Make Your First Request
Example request to generate a serene lake scene:
curl -X POST "https://wisdom-gate.juheapi.com/v1/videos" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: multipart/form-data" \
-F model="sora-2-pro" \
-F prompt="A serene lake surrounded by mountains at sunset" \
-F seconds="25"
Step 4: Check Progress
curl -X GET "https://wisdom-gate.juheapi.com/v1/videos/{task_id}" \
-H "Authorization: Bearer YOUR_API_KEY"
Alternatively, monitor tasks and download results from: https://wisdom-gate.juheapi.com/hall/tasks
Designing the n8n Workflow
Key Nodes
- Trigger: Scheduled trigger or webhook
- Function: Generate prompt using LLM API
- HTTP Request: Call JuheAPI video endpoint
- Wait/Check: Poll for completion
- Upload: Send completed video to publishing endpoint
Combining LLM Scripts + Video Generation
The Function node formats script output into a refined video prompt. This passes into HTTP Request for generation.
Example n8n Workflow JSON
Below is an illustrative example:
{
"nodes": [
{
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"parameters": { "interval": 1440 }
},
{
"name": "Generate Prompt",
"type": "n8n-nodes-base.httpRequest",
"parameters": {
"url": "https://api.llmprovider.com/v1/script",
"method": "POST",
"body": { "theme": "marketing seasonal" }
}
},
{
"name": "Create Video",
"type": "n8n-nodes-base.httpRequest",
"parameters": {
"url": "https://wisdom-gate.juheapi.com/v1/videos",
"method": "POST",
"headers": { "Authorization": "Bearer {{$env.API_KEY}}" },
"body": {
"model": "sora-2-pro",
"prompt": "={{$json["data"]["prompt"]}}",
"seconds": 25
}
}
},
{
"name": "Check Status",
"type": "n8n-nodes-base.httpRequest",
"parameters": {
"url": "https://wisdom-gate.juheapi.com/v1/videos/{{$json["task_id"]}}",
"method": "GET",
"headers": { "Authorization": "Bearer {{$env.API_KEY}}" }
}
},
{
"name": "Publish Video",
"type": "n8n-nodes-base.httpRequest",
"parameters": {
"url": "https://api.video-platform.com/upload",
"method": "POST",
"body": {
"file": "={{$binary.data}}",
"title": "={{$json["title"]}}",
"description": "={{$json["description"]}}"
}
}
}
]
}
Best Practices
- Prompt Precision: Describe subject, environment, and mood clearly.
- Test Durations: Shorter clips process faster; balance time with need.
- Automation Scheduling: Set realistic intervals to avoid API rate limits.
- Download Early: Wisdom Gate logs expire in 7 days; store locally.
Publishing Strategy
Auto-upload
Use platform APIs to upload videos instantly upon completion.
Metadata Automation
Generate titles, descriptions, and tags based on the LLM script output for improved SEO.
Troubleshooting
- Authentication Errors: Check API key validity and header syntax.
- Empty Prompt: Validate LLM output before passing to video generation.
- Failed Tasks: Monitor status codes and error messages from JuheAPI.
Conclusion
By combining LLM scripting, JuheAPI’s Sora 2 Pro, and n8n’s automation capabilities, you can create a streamlined AI video workflow that handles scripting, generation, and publishing end-to-end. This approach saves time, ensures consistent quality, and allows rapid scaling for marketing or educational campaigns.