Nano Banana 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",
 9    prompt="Dancing Banana",
10    image_urls=["https://segmind-inference-inputs.s3.amazonaws.com/5ead6a2e-3e8d-4d07-a86d-5777fc6cb6f9-09a99645-3171-4742-be08-dfcfe7f0a4b2-1304f734-929b-4047-822d-4f59fca2179a-40457f0b-d422-4525-b3a5-19633a9cdac0.png"],
11    system_prompt="Keep the composition polished, cheerful, and suitable for a product campaign.",
12    aspect_ratio="1:1",
13    response_modalities="TEXT_AND_IMAGE",
14)
15print(result["status"])                      # COMPLETED
16print(result.get("output"))                  # model output (e.g. media URL)
17print(result["metrics"]["inference_time"])   # server compute seconds
18
19# --- Or submit + poll manually (track request_id, control the cadence) ---
20from segmind import SegmindClient, InferenceFailed, InferenceTimeout
21
22client = SegmindClient()                      # reads SEGMIND_API_KEY
23payload = {
24    "prompt": "Dancing Banana",
25    "image_urls": ["https://segmind-inference-inputs.s3.amazonaws.com/5ead6a2e-3e8d-4d07-a86d-5777fc6cb6f9-09a99645-3171-4742-be08-dfcfe7f0a4b2-1304f734-929b-4047-822d-4f59fca2179a-40457f0b-d422-4525-b3a5-19633a9cdac0.png"],
26    "system_prompt": "Keep the composition polished, cheerful, and suitable for a product campaign.",
27    "aspect_ratio": "1:1",
28    "response_modalities": "TEXT_AND_IMAGE",
29}
30job = client.submit_async("nano-banana", **payload)
31print(job.request_id)                         # available immediately
32try:
33    result = job.wait(timeout=600, interval=1.0)
34except InferenceTimeout as e:
35    print("still running:", e.request_id)
36except InferenceFailed as e:
37    print("failed:", e.detail)