J. Pedro: Check out nano-banana: our newest image generation model

Email not displaying correctly? View it online

A visual representation of an AI editing process, featuring a text instruction to change a fruit bowl from mixed fruits to bananas, presented with the original bowl containing assorted fruits and the transformed bowl containing only bananas.

Introducing Gemini 2.5 Flash Image (aka nano-banana)

Hi Elevbit,

We just released a state-of-the-art native image generation and editing model in Gemini 2.5 Flash, now available in preview through the Gemini API. Your can try the model free of charge in Google AI Studio.

You can now build interactive, multimodal applications with powerful creative control that goes far beyond simple text-to-image.

Maintain character consistency

Preserve a subject's appearance across multiple generated images and scenes.

Perform intelligent editing

Enable precise, prompt-based edits like inpainting (adding/changing objects), outpainting, and targeted transformations within an image.

Compose and merge images

Intelligently combine elements from multiple images into a single, photorealistic composite.

Leverage multimodal reasoning

Build features that understand visual context, such as following complex instructions on a hand-drawn diagram.

A GIF that shows how an app takes your photo and turns it into Polaroid pictures from iconic decades.

Vibe code powerful photo editing apps

All of these apps are open source and built with Gemini 2.5 Flash Image (aka nano-banana). You can remix to make them your own with Gemini in Google AI Studio.

Past Forward lets you travel through time

Home Canvas lets your try out new furniture

Pixshop is an AI-powered image editor

GemBooth places you into a comic book or a Renaissance painting

Start building in seconds

You can use our SDKs for Python, JavaScript, and Go, or make a direct REST API call with cURL. Get your API key, select a billing-enabled project for your API key, and start generating.

from google import genai
from PIL import Image
from io import BytesIO
 
client = genai.Client()

prompt = """  
   Create a picture of my cat eating a nano-banana in a fancy restaurant under the gemini constellation
"""
image = Image.open('/path/to/image.png')
 
# Start the generation job
response = client.models.generate_content(
    model="gemini-2.5-flash-image-preview",
    contents=[prompt, image],
)
 
for part in response.parts:
  if part.text:
    print (part.text)
  elif image:= part.as_image():
    image.show()
    image.save("generated_image.png")

Ready to build?

Documentation

Explore all model capabilities and get advanced prompting tips.

Read the docs

Cookbooks

Find more examples and code samples in the cookbook guide.

Start building

Happy building,

The Google AI Studio team

The team behind nano-banana

Join some of the minds behind Gemini 2.5 Flash to explore the technology powering its core capabilities.

Watch the video

Cut your Gemini API costs by 50%

Cut costs and enjoy higher throughput rate limits by batching multiple images in a single request and automating image generation tasks.

Build with Batch API

Prompt models

Manage API keys

Get help

Stay connected

This email was sent to elevbit@gmail.com because you signed up to receive emails about Google AI. If you do not wish to receive these emails, please unsubscribe.

Acesso Restrito

J. Pedro

Check out nano-banana: our newest image generation model