Nano Banana 2 API: AI Image Generation

Nano Banana 2 API Reference

Endpoint

POST https://api.muapi.ai/api/v1/nano-banana-2

Submit a job with your MuApi API key in the x-api-key header, then poll https://api.muapi.ai/api/v1/predictions/{request_id}/result until status is completed.

Parameters

Name	Type	Required	Description
prompt	string	Yes	Text prompt describing the desired image content.
aspect_ratio	string	No	The aspect ratio of the generated image.Options: 1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, 21:9, AutoDefault: "1:1"
google_search	boolean	No	Whether to use Google Search for prompt enhancement.Default: false
resolution	string	No	The resolution of the generated image.Options: 1k, 2k, 4kDefault: "1k"
output_format	string	No	The format of the output image.Options: jpg, pngDefault: "jpg"

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/nano-banana-2 \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"<prompt>"}' | jq -r .request_id)

curl -s https://api.muapi.ai/api/v1/predictions/$REQUEST_ID/result -H "x-api-key: $MUAPI_API_KEY"

Python example

import os, time, requests

API = "https://api.muapi.ai/api/v1"
headers = {"x-api-key": os.environ["MUAPI_API_KEY"]}

r = requests.post(f"{API}/nano-banana-2", headers=headers, json={"prompt":"<prompt>"})
request_id = r.json()["request_id"]

while True:
    res = requests.get(f"{API}/predictions/{request_id}/result", headers=headers).json()
    if res["status"] == "completed":
        print(res["outputs"]); break
    if res["status"] == "failed":
        raise RuntimeError(res.get("error"))
    time.sleep(3)

Full docs and agent/MCP integration: llms.txt. Get an API key at muapi.ai/access-keys.