Nano Banana (Image generation)

Nano Banana is the name for Gemini's native image generation capabilities. It currently refers to two distinct models available in the Gemini API:

Nano Banana: The Gemini 2.5 Flash Image model (gemini-2.5-flash-image). This model is designed for speed and efficiency, optimized for high-volume, low-latency tasks.
Nano Banana Pro: The Gemini 3 Pro Image Preview model (gemini-3-pro-image-preview). This model is designed for professional asset production, utilizing advanced reasoning ("Thinking") to follow complex instructions and render high-fidelity text.

Get started

You can generate images using the generate_content method using the model name that corresponds to the version you'd like to use.

Python

fromgoogleimport genai
fromPILimport Image
client = genai.Client()
response = client.models.generate_content(
 model="gemini-2.5-flash-image",
 contents="Create a picture of a futuristic banana with neon lights in a cyberpunk city.",
)
for part in response.parts:
 if part.inline_data:
 image = part.as_image()
 image.show()

JavaScript

import{GoogleGenAI}from"@google/genai";
import*asfsfrom"node:fs";
constai=newGoogleGenAI({});
constresponse=awaitai.models.generateContent({
model:"gemini-2.5-flash-image",
contents:"Create a picture of a futuristic banana with neon lights in a cyberpunk city.",
});
for(constpartofresponse.candidates[0].content.parts){
if(part.inlineData){
constbuffer=Buffer.from(part.inlineData.data,"base64");
fs.writeFileSync("banana.png",buffer);
}
}

Go

packagemain
import(
"context"
"os"
"google.golang.org/genai"
)
funcmain(){
ctx:=context.Background()
client,err:=genai.NewClient(ctx,nil)
iferr!=nil{
// handle error
}
resp,err:=client.Models.GenerateContent(
ctx,
"gemini-2.5-flash-image",
genai.Text("Create a picture of a futuristic banana with neon lights in a cyberpunk city."),
)
for_,part:=rangeresp.Candidates[0].Content.Parts{
ifpart.InlineData!=nil{
_=os.WriteFile("banana.png",part.InlineData.Data,0644)
}
}
}

Java

importcom.google.genai.Client;
importcom.google.genai.types.GenerateContentResponse;
importcom.google.genai.types.Part;
importjava.nio.file.Files;
importjava.nio.file.Paths;
publicclass ImageGen{
publicstaticvoidmain(String[]args)throwsException{
try(Clientclient=newClient()){
GenerateContentResponseresponse=client.models.generateContent(
"gemini-2.5-flash-image",
"Create a picture of a futuristic banana with neon lights in a cyberpunk city.",
null);
for(Partpart:response.parts()){
if(part.inlineData().isPresent()){
Files.write(Paths.get("banana.png"),part.inlineData().get().data().get());
}
}
}
}
}

REST

curl"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-image:generateContent"\
-H"x-goog-api-key: $GEMINI_API_KEY"\
-H'Content-Type: application/json'\
-XPOST\
-d'{
 "contents": [{
 "parts": [
 {"text": "Create a picture of a futuristic banana with neon lights in a cyberpunk city."}
 ]
 }]
 }'

Learn more

For comprehensive documentation on image generation, editing, advanced prompting, and model comparisons, please see the full guide:

Image generation with Gemini: The complete guide to using Nano Banana and Nano Banana Pro models.
Model information: Details on model versions, capabilities, and pricing.