AI Image Creation Workflow with Havis AI & Nano Banana 2

Transform your creative vision into stunning AI-generated images with this comprehensive n8n workflow that seamlessly integrates Havis AI's Nano Banana 2 model. This ready-to-deploy automation handles the complete image generation pipeline from prompt submission to final result delivery, making professional AI image creation accessible through an intuitive no-code interface.

What This Workflow Does

This intelligent automation streamlines the entire Havis AI image generation process:

• Launches an n8n Form Trigger with customizable Nano Banana 2 input fields
• Builds and sanitizes JSON payloads by automatically removing empty optional parameters
• Submits generation requests to the Havis AI Nano Banana 2 API endpoint
• Implements smart polling with 8-second intervals to monitor task progress
• Returns comprehensive results including task ID, status, image URLs, credits consumed, and original payload data
• Provides clean error handling with detailed failure information

Perfect Use Cases

• Creative agencies building client-facing AI image generation portals
• Content creators establishing reusable, no-code image production workflows
• Developers needing plug-and-play API integration templates for rapid prototyping
• Automation engineers connecting Havis AI outputs to downstream systems like Slack notifications, Google Sheets logging, Airtable databases, or CMS platforms

Technical Details

Built with essential n8n nodes including Form Trigger for user input, Set nodes for data manipulation, Code nodes for payload processing, Wait nodes for polling delays, and IF nodes for conditional logic flow. The workflow accepts required prompts plus optional parameters like mode, aspect ratio, resolution, and output format.

Setup requires simply importing the JSON workflow, configuring your Havis API key (supports both form input for testing and secure credential storage for production), and accessing the generated form URL. The workflow automatically handles Bearer token formatting and provides robust error management throughout the entire generation cycle.