Automate Video Creation with Havis AI Kling 2.5 Workflow

Transform your video content strategy with this powerful n8n workflow that seamlessly integrates Havis AI's cutting-edge Kling 2.5 video generation model. This automation handles the complete video creation pipeline—from prompt submission to final result delivery—eliminating manual API management and complex polling logic.

What this workflow does

This comprehensive automation streamlines the entire Havis AI Kling 2.5 video generation process through intelligent task management:

• Launches an n8n Form Trigger interface for easy Kling 2.5 parameter input
• Constructs optimized JSON payloads and automatically removes empty optional fields
• Submits POST requests to the Havis AI Kling 2.5 API endpoint
• Implements smart polling logic with 8-second intervals to monitor task progress
• Continuously loops until video generation completes
• Returns comprehensive results including task ID, status, video URLs, credits consumed, and original payload data
• Provides clean error handling with detailed failure information

Use cases

Perfect for creators seeking reusable no-code video generation forms without technical complexity. Agencies can deploy this as client-facing AI automation, allowing customers to generate videos through a simple web interface. Developers benefit from an importable API testing workflow that demonstrates proper Havis AI integration patterns. n8n users can easily extend this workflow to connect Havis AI output with popular services like Slack notifications, Google Sheets logging, Airtable databases, custom webhooks, or content management systems.

Technical details

Built using essential n8n nodes including Form Trigger, HTTP Request, Wait, If conditions, Set operations, Code execution, and Sticky Notes for documentation. The workflow handles required fields like prompt and mode, plus optional parameters including duration, aspect_ratio, image_url, and tail_image_url. For production deployment, store API keys securely in n8n credentials or environment variables rather than form inputs. This automation workflow eliminates the complexity of manual API polling while providing robust error handling and comprehensive result data for downstream processing.