Nano Banana API

The Nano Banana API is a lightweight and beginner-friendly interface designed for developers who want to quickly integrate powerful features into their applications without dealing with complex systems.

The Nano Banana API is a simple yet powerful Application Programming Interface that helps developers connect their apps. It is built for speed, ease of use, and scalability. Whether you are a beginner or an experienced developer, this API makes it straightforward to perform operations like fetching data, generating responses, or handling images. Nano Banana API is now available in the Gemini API.

The Gemini API is Google DeepMind’s developer interface for accessing the Gemini family of AI models. These models power advanced capabilities such as natural language understanding, reasoning, code generation, and multimodal tasks (working with text, images, and other data).

API Endpoints

Sample endpoint for tasks like image generation. Requests are typically sent via a POST request to an endpoint that specifies the model version. The Nano Banana image generation model has API endpoints available through Google and third-party platforms.

API Endpoint

https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-image:generateContent

Use the official Gemini API if you need the most direct and lowest-level access to the model, or if you prefer to build directly on Google’s infrastructure.

API Example in Python

Let’s look at a simple example using Python language:

from google import genai
from google.genai import types
from PIL import Image
from io import BytesIO

client = genai.Client()

prompt = (
 "Generate a picture of wall clock"
)

response = client.models.generate_content(
 model="gemini-2.5-flash-image-preview",
 contents=[prompt],
)

for part in response.candidates[0].content.parts:
 if part.text is not None:
 print(part.text)
 elif part.inline_data is not None:
 image = Image.open(BytesIO(part.inline_data.data))
 image.save("nano_banana_output_image.png")