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Pricing: $0.15/image. Endpoint: POST /v1/models/google/nano-banana-pro/runs.
Nano Banana Pro is Google’s new state-of-the-art image generation and editing model

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Overview

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Pricing

  • Base price: $0.15/image
  • Note: Usage-based, per image

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Nano Banana Pro API

Endpoint: POST /v1/models/google/nano-banana-pro/runs

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Run the model

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Python

import requests

response = requests.post(
    "https://api.runflow.io/v1/models/google/nano-banana-pro/runs",
    headers={"Authorization": "Bearer RUNFLOW_API_KEY"},
    json={
        "input": {
            "prompt": "A cathedral made entirely of stained glass, viewed from inside looking up at the rose window ceiling. Sunlight streams through panels depicting vineyard scenes with grapes and golden wheat. The floor reflects rainbow light patterns. Photorealistic, shot on medium format camera, golden hour"
        },
        "callback_url": "https://your-server.com/webhook"
    },
)

data = response.json()
print(data)

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Node.js

const response = await fetch(
  "https://api.runflow.io/v1/models/google/nano-banana-pro/runs",
  {
    method: "POST",
    headers: {
      "Authorization": "Bearer RUNFLOW_API_KEY",
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
        "input": {
            "prompt": "A cathedral made entirely of stained glass, viewed from inside looking up at the rose window ceiling. Sunlight streams through panels depicting vineyard scenes with grapes and golden wheat. The floor reflects rainbow light patterns. Photorealistic, shot on medium format camera, golden hour"
        },
        "callback_url": "https://your-server.com/webhook"
    }),
  }
);

const data = await response.json();
console.log(data);

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cURL

curl -X POST https://api.runflow.io/v1/models/google/nano-banana-pro/runs \
  -H "Authorization: Bearer $RUNFLOW_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
    "input": {
        "prompt": "A cathedral made entirely of stained glass, viewed from inside looking up at the rose window ceiling. Sunlight streams through panels depicting vineyard scenes with grapes and golden wheat. The floor reflects rainbow light patterns. Photorealistic, shot on medium format camera, golden hour"
    },
    "callback_url": "https://your-server.com/webhook"
}
JSON

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Request parameters

ParameterTypeRequiredDescription
inputobjectrequiredModel input parameters. See “Input schema” below.
callback_urlstring | nulloptionalWebhook URL - POSTed when the run reaches a terminal state.
metadataobject | nulloptionalArbitrary key-value pairs attached to the run.

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Input schema

FieldTypeRequiredAllowed valuesDescription
promptstringrequiredAnyThe text prompt to generate an image from.
aspect_ratiostringoptionalAnyThe aspect ratio of the generated image.
enable_web_searchbooleanoptionalAnyEnable web search for the image generation task. This will allow the model to use the latest information from the web to generate the image.
resolutionstringoptional1K, 2K, 4KThe resolution of the image to generate.
num_imagesintegeroptionalAnyThe number of images to generate.
output_formatstringoptionaljpeg, png, webpThe format of the generated image.
sync_modebooleanoptionalAnyIf True, the media will be returned as a data URI and the output data won’t be available in the request history.
safety_tolerancestringoptional1, 2, 3, 4, 5, 6The safety tolerance level for content moderation. 1 is the most strict (blocks most content), 6 is the least strict.
seedintegeroptionalAnyThe seed for the random number generator.
limit_generationsbooleanoptionalAnyExperimental parameter to limit the number of generations from each round of prompting to 1. Set to True to to disregard any instructions in the prompt regarding the number of images to generate.

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Output schema

FieldTypeDescription
outputsjsonUnified output array - one entry per generated artifact with url/type/width/height/duration/etc.
model_datajsonModel-specific extra fields (prompt, description, actual_prompt, masks, etc.) keyed by field name.
nsfw_detectedjsontrue if the provider flagged output as NSFW, false if cleared, null if not checked.
seedjsonDeterministic seed used for generation, or null if the provider doesn’t return one.
timingjsonProvider timing info (inference_ms etc.), or null.

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Callback payload

When you provide a callback_url, Runflow POSTs to it once the run reaches a terminal state.
FieldTypeDescription
eventstringEvent type: “run.completed”, “run.failed”, or “run.cancelled”.
run_idstringThe unique identifier of the run.
statusstringTerminal status: “succeeded”, “failed”, or “cancelled”.
outputobject | nullThe run output. Null if the run failed or was cancelled.
duration_msnumber | nullTotal run duration in milliseconds.
created_atstring | nullISO 8601 timestamp when the run was created.
completed_atstring | nullISO 8601 timestamp when the run reached terminal state.
metadataobject | nullThe metadata object passed at run creation, if any.
  • Retries: 3 attempts with exponential backoff (1s, 2s). Retries on 5xx / network errors only.
  • Headers: Runflow-Request-Id is always sent. Runflow-Signature is sent if a signing secret is configured.

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Additional Resources

Browse all models

Browse the catalog.

Run lifecycle

Callbacks, polling, statuses.

Callbacks

Handle async results.

Pricing

How requests bill out.