How to Use the NEW Nano Banana 2 in n8n (cheaper & no watermark)

Introduction

In this tutorial, we will explore how to utilize Google’s NanoBanana Pro image model in n8n, a powerful automation tool. This guide will help you set up automated workflows for generating images from text, transforming images, and experimenting with multiple input images—all without watermarks and at a lower cost than the official pricing. No coding experience is necessary, making it accessible for everyone.

Step 1: Setting Up n8n

1. Sign up for n8n

   • Visit the n8n website and sign up for a 14-day free trial.
   • If you wish to self-host, use the code NATEHERK for a 10% discount on the annual plan at Hostinger.

2. Create a New Workflow

   • Once logged in, click on “Create New” to start a new workflow.
   • Familiarize yourself with the n8n interface, focusing on the nodes section.

Step 2: Text to Image Automation

1. Add the NanoBanana Node

   • In the nodes panel, search for and add the NanoBanana node.
   • Configure the node to accept text input for image generation.

2. Input Your Text Prompt

   • Enter a descriptive prompt that you want the image to represent.
   • Adjust any parameters available to refine the output, such as style or color preferences.

3. Execute the Workflow

   • Run the workflow to generate your first image.
   • Review the output and make adjustments to the prompt as necessary for better results.

Step 3: Image to Image Automation

1. Configure Image Input

   • Add another NanoBanana node to your workflow for image transformation.
   • Upload an existing image you want to modify.

2. Set Parameters for Transformation

   • Specify any changes or enhancements you want to apply to the image.
   • This could include altering style, adding elements, or modifying colors.

3. Run the Workflow

   • Execute the workflow to see the transformed image.
   • Analyze the results and tweak the parameters to achieve desired effects.

Step 4: Multiple Images to Image Automation

1. Add Multiple Image Inputs

   • Configure a new NanoBanana node that accepts multiple image files.
   • This feature allows you to experiment with different images simultaneously.

2. Adjust Prompts for Each Image

   • For each image input, you can provide a unique prompt.
   • This is useful for testing various styles or themes on different images.

3. Execute and Review Outputs

   • Run the workflow and observe the generated images.
   • Compare the outputs to determine which prompts and images yield the best results.

Conclusion

In this tutorial, we covered how to leverage the NanoBanana Pro image model within n8n to create automated image workflows. We explored text-to-image generation, image transformations, and handling multiple inputs simultaneously. With these steps, you can enhance your AI automation projects and create stunning visuals at a lower cost. For further mastery of AI automations, consider exploring additional resources and courses available through Nate Herk's platforms.