Nano Banana Pro 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-pro",
 9    prompt="Create a multi-panel GTA-style comic page featuring one woman and one man as office coworkers working on a new product launch. Use bold outlines, dramatic GTA loading-screen shading, expressive faces, modern tech office backgrounds.\n\nPanel 1 — Narration:\nThe woman enters the office early, holding a laptop. She looks stressed but determined.\nText: ‘Launch day. Weeks of work… all coming down to this.’\n\nPanel 2 — Dialogue:\nMan appears behind her with a calm, confident smile.\nMan: ‘You’re here early. Ready for the big ship?’\nWoman: ‘Trying to be.’\n\nPanel 3 — Action:\nBoth sit at a desk with screens showing graphs, bugs, and a countdown timer.\nText: ‘One critical bug left… time running out.’\n\nPanel 4 — Dialogue:\nClose-up of the man pointing at the screen.\nMan: ‘Wait—I see it. We can fix this.’\nWoman: ‘Let’s do it.’\n\nPanel 5 — Action:\nBoth typing fast, dramatic GTA-style lighting, code streaming across screens.\nText: ‘Two minds. One mission.’\n\nPanel 6 — Victory:\nThe laptop shows PRODUCT SHIPPED — SUCCESS. Both cheer and laugh in relief.\nWoman: ‘We did it!’\nMan: ‘Told you we’d make it.’\n\nPanel 7 — Narration:\nFinal shot: team walking out of the office at night, city lights behind them.\nText: ‘In tech, wins aren’t solo. They’re shared.’\n\nArt style: GTA loading-screen style, bold color blocks, high contrast shadows, confident comic composition, cinematic frames.",
10    image_urls=["https://segmind-inference-inputs.s3.amazonaws.com/ad93498e-3370-432b-8dd7-bc3f4aa1b39a-black-man-image.jpeg", "https://segmind-inference-inputs.s3.amazonaws.com/8bdc63b0-79ed-4369-a4af-e7284f5bde33-image (86).png"],
11    system_prompt="Keep the composition polished, cheerful, and suitable for a product campaign.",
12    aspect_ratio="1:1",
13    output_resolution="4K",
14    output_format="jpg",
15    response_modalities="TEXT_AND_IMAGE",
16)
17print(result["status"])                      # COMPLETED
18print(result.get("output"))                  # model output (e.g. media URL)
19print(result["metrics"]["inference_time"])   # server compute seconds
20
21# --- Or submit + poll manually (track request_id, control the cadence) ---
22from segmind import SegmindClient, InferenceFailed, InferenceTimeout
23
24client = SegmindClient()                      # reads SEGMIND_API_KEY
25payload = {
26    "prompt": "Create a multi-panel GTA-style comic page featuring one woman and one man as office coworkers working on a new product launch. Use bold outlines, dramatic GTA loading-screen shading, expressive faces, modern tech office backgrounds.\n\nPanel 1 — Narration:\nThe woman enters the office early, holding a laptop. She looks stressed but determined.\nText: ‘Launch day. Weeks of work… all coming down to this.’\n\nPanel 2 — Dialogue:\nMan appears behind her with a calm, confident smile.\nMan: ‘You’re here early. Ready for the big ship?’\nWoman: ‘Trying to be.’\n\nPanel 3 — Action:\nBoth sit at a desk with screens showing graphs, bugs, and a countdown timer.\nText: ‘One critical bug left… time running out.’\n\nPanel 4 — Dialogue:\nClose-up of the man pointing at the screen.\nMan: ‘Wait—I see it. We can fix this.’\nWoman: ‘Let’s do it.’\n\nPanel 5 — Action:\nBoth typing fast, dramatic GTA-style lighting, code streaming across screens.\nText: ‘Two minds. One mission.’\n\nPanel 6 — Victory:\nThe laptop shows PRODUCT SHIPPED — SUCCESS. Both cheer and laugh in relief.\nWoman: ‘We did it!’\nMan: ‘Told you we’d make it.’\n\nPanel 7 — Narration:\nFinal shot: team walking out of the office at night, city lights behind them.\nText: ‘In tech, wins aren’t solo. They’re shared.’\n\nArt style: GTA loading-screen style, bold color blocks, high contrast shadows, confident comic composition, cinematic frames.",
27    "image_urls": ["https://segmind-inference-inputs.s3.amazonaws.com/ad93498e-3370-432b-8dd7-bc3f4aa1b39a-black-man-image.jpeg", "https://segmind-inference-inputs.s3.amazonaws.com/8bdc63b0-79ed-4369-a4af-e7284f5bde33-image (86).png"],
28    "system_prompt": "Keep the composition polished, cheerful, and suitable for a product campaign.",
29    "aspect_ratio": "1:1",
30    "output_resolution": "4K",
31    "output_format": "jpg",
32    "response_modalities": "TEXT_AND_IMAGE",
33}
34job = client.submit_async("nano-banana-pro", **payload)
35print(job.request_id)                         # available immediately
36try:
37    result = job.wait(timeout=600, interval=1.0)
38except InferenceTimeout as e:
39    print("still running:", e.request_id)
40except InferenceFailed as e:
41    print("failed:", e.detail)