Prediction

Official model

google/nano-banana-pro

qq9tjzn5axrm80ctmge9r232tw

Status

Succeeded

Source

Web

Total duration

32.1s

Created

4 months ago by johnsillings

Webhook

–

Input

prompt: Praying mantis wearing a suit reporting "there's a human walking" and all the bugs panic and the praying mantis is in the TV
image_input
aspect_ratio: 4:3
resolution: 2K
output_format: png
safety_filter_level: block_only_high

{
  "aspect_ratio": "4:3",
  "image_input": [],
  "output_format": "png",
  "prompt": "Praying mantis wearing a suit reporting \"there's a human walking\" and all the bugs panic and the praying mantis is in the TV",
  "resolution": "2K",
  "safety_filter_level": "block_only_high"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_F1R**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run google/nano-banana-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  aspect_ratio: "4:3",
  image_input: [],
  output_format: "png",
  prompt: "Praying mantis wearing a suit reporting \"there's a human walking\" and all the bugs panic and the praying mantis is in the TV",
  resolution: "2K",
  safety_filter_level: "block_only_high"
};

const output = await replicate.run("google/nano-banana-pro", { input });

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_F1R**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run google/nano-banana-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "google/nano-banana-pro",
    input={
        "aspect_ratio": "4:3",
        "image_input": [],
        "output_format": "png",
        "prompt": "Praying mantis wearing a suit reporting \"there's a human walking\" and all the bugs panic and the praying mantis is in the TV",
        "resolution": "2K",
        "safety_filter_level": "block_only_high"
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_F1R**********************************

This is your API token. Keep it to yourself.

Run google/nano-banana-pro using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "input": {
      "aspect_ratio": "4:3",
      "image_input": [],
      "output_format": "png",
      "prompt": "Praying mantis wearing a suit reporting \\"there\'s a human walking\\" and all the bugs panic and the praying mantis is in the TV",
      "resolution": "2K",
      "safety_filter_level": "block_only_high"
    }
  }' \
  https://api.replicate.com/v1/models/google/nano-banana-pro/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Generated in

32.1 seconds

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