Nano Banana 2 Lite Serverless API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3import segmind
 4
 5# Async (v2): submit to the queue and block until COMPLETED.
 6# run() returns the final result dict (600s deadline, 1.0s poll by default).
 7result = segmind.run(
 8    "nano-banana-2-lite",
 9    prompt="A photorealistic close-up product photograph of a rustic artisan coffee bag standing on a warm wooden cafe counter. The kraft-paper packaging has a beautifully printed label reading 'NANO ROAST' in bold vintage serif lettering, with 'Single Origin - Medium Roast' in smaller elegant script beneath it. Soft morning window light, gentle bokeh of a cozy cafe interior in the background, roasted coffee beans scattered on the counter, shallow depth of field, crisp focus on the label, high-end commercial product photography, 8k.",
10    seed=778812,
11    aspect_ratio="1:1",
12    output_format="jpg",
13    thinking_level="high",
14    safety_tolerance=4,
15    output_resolution="1K",
16    response_modalities="TEXT_AND_IMAGE",
17)
18print(result["status"])                      # COMPLETED
19print(result.get("output"))                  # model output (e.g. media URL)
20print(result["metrics"]["inference_time"])   # server compute seconds
21
22# --- Or submit + poll manually (track request_id, control the cadence) ---
23from segmind import SegmindClient, InferenceFailed, InferenceTimeout
24
25client = SegmindClient()                      # reads SEGMIND_API_KEY
26payload = {
27    "prompt": "A photorealistic close-up product photograph of a rustic artisan coffee bag standing on a warm wooden cafe counter. The kraft-paper packaging has a beautifully printed label reading 'NANO ROAST' in bold vintage serif lettering, with 'Single Origin - Medium Roast' in smaller elegant script beneath it. Soft morning window light, gentle bokeh of a cozy cafe interior in the background, roasted coffee beans scattered on the counter, shallow depth of field, crisp focus on the label, high-end commercial product photography, 8k.",
28    "seed": 778812,
29    "aspect_ratio": "1:1",
30    "output_format": "jpg",
31    "thinking_level": "high",
32    "safety_tolerance": 4,
33    "output_resolution": "1K",
34    "response_modalities": "TEXT_AND_IMAGE",
35}
36job = client.submit_async("nano-banana-2-lite", **payload)
37print(job.request_id)                         # available immediately
38try:
39    result = job.wait(timeout=600, interval=1.0)
40except InferenceTimeout as e:
41    print("still running:", e.request_id)
42except InferenceFailed as e:
43    print("failed:", e.detail)