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Generate images with the Nano Banana API in Python

2 min readWritten by Unified Image API Team


This is the complete Python integration: submit → poll → download, with idempotency and error handling you can ship. The only dependency is requests.

Setup

Create an API key in the dashboard and export it:

bash
export IMAGE_API_KEY=nb_live_...
export IMAGE_API_BASE=https://api.example.com   # your base URL from the docs

Submitting a job

Generation is asynchronous: POST /v1/generations returns a job id in milliseconds, and the image is ready a few seconds later. Always send an Idempotency-Key — if your process crashes and retries, you will get the same job back instead of paying twice.

python
import os, time, uuid, requests

BASE = os.environ["IMAGE_API_BASE"]
HEADERS = {"Authorization": f"Bearer {os.environ['IMAGE_API_KEY']}"}

def submit(prompt: str, resolution: str = "1K", ratio: str = "1:1", model: str = "nanobanana") -> dict:
    r = requests.post(
        f"{BASE}/v1/generations",
        headers={**HEADERS, "Idempotency-Key": str(uuid.uuid4())},
        json={"model": model, "prompt": prompt, "n": 1, "resolution": resolution, "ratio": ratio},
        timeout=10,
    )
    r.raise_for_status()   # 202 Accepted
    return r.json()        # {"id": "...", "status": "queued", "cost": 2, ...}

Polling correctly

Poll with backoff, not a tight loop — jobs typically finish in 1–20 seconds:

python
def wait(job_id: str, timeout_s: int = 120) -> dict:
    deadline, delay = time.monotonic() + timeout_s, 0.5
    while time.monotonic() < deadline:
        job = requests.get(f"{BASE}/v1/generations/{job_id}", headers=HEADERS, timeout=10).json()
        if job["status"] in ("succeeded", "failed", "cancelled"):
            return job
        time.sleep(delay)
        delay = min(delay * 1.6, 5.0)
    raise TimeoutError(job_id)

Downloading results

Image URLs are presigned and expire after 15 minutes. If you need the file later, download it now; if a URL expired, just GET the job again for fresh ones.

python
def download(job: dict, path: str) -> None:
    if job["status"] != "succeeded":
        raise RuntimeError(f"{job['status']}: {job.get('error')}")
    img = job["images"][0]
    data = requests.get(img["url"], timeout=30).content
    with open(path, "wb") as f:
        f.write(data)

job = submit("a red fox in snow, studio lighting")
job = wait(job["id"])
download(job, "fox.png")

Handling errors like a production service

Errors are application/problem+json; branch on code:

codeWhat to do
insufficient_credits (402)Stop submitting; alert whoever owns the balance.
rate_limited / too_many_inflight (429)Sleep for Retry-After seconds, then retry the same request.
model_unavailable (503)Nothing was charged. Retry later or fall back to another model id.
internal_error (500)Retry with the same Idempotency-Key — you will not be double-charged.
failed job statusCredits were refunded automatically; inspect error.code.

That last line is the property worth designing around: a failed job costs nothing, so your retry logic never needs to reconcile money — just resubmit.

Next steps: swap model for nanobanana-pro for higher fidelity (comparison), or replace polling with webhooks.

About the author

Written by Unified Image API Team — genmux API.

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