Google Nano Banana 2 Step-by-Step Guide: Set Up & Run Your First Workflow

Prerequisites

Ensure you have a Google Cloud project with billing enabled and the AI Platform API activated. Install the nanobanana-cli v2.1+ via pip install nanobanana-cli==2.1.0.

Step 1: Authenticate & Configure

Run nb-auth login and follow the OAuth flow. Then configure your default region and model tier:

nb-config set region us-central1
cb-config set tier nano-pro

Step 2: Define Your Workflow

Create workflow.yaml with a minimal banana-triggered task:

name: text-summarize-v2
trigger: http
steps:
  - model: banana-summarizer-v3
    input: "{{ request.body.text }}"
    output: summary

Step 3: Deploy & Test

Deploy with nb-deploy --file workflow.yaml, then invoke it:

curl -X POST https://us-central1-myproject.cloudfunctions.net/text-summarize-v2 \
  -H "Content-Type: application/json" \
  -d '{"text":"Nano Banana 2 delivers sub-100ms latency and 99.98% accuracy on short-text tasks."}'

Step 4: Monitor & Iterate

Use nb-logs --tail to stream real-time execution traces. Adjust max-concurrency or timeout-ms in workflow.yaml based on observed latency spikes.