Pruna P Image 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    "p-image",
 9    prompt="Vibrant neon signboard glowing at night that says “Pruna P Image is LIVE on Segmind”, bold cyberpunk style, dark city backdrop, intense electric colors",
10    aspect_ratio="16:9",
11    width=1024,
12    height=1024,
13    seed=42,
14    disable_safety_checker=False,
15)
16print(result["status"])                      # COMPLETED
17print(result.get("output"))                  # model output (e.g. media URL)
18print(result["metrics"]["inference_time"])   # server compute seconds
19
20# --- Or submit + poll manually (track request_id, control the cadence) ---
21from segmind import SegmindClient, InferenceFailed, InferenceTimeout
22
23client = SegmindClient()                      # reads SEGMIND_API_KEY
24payload = {
25    "prompt": "Vibrant neon signboard glowing at night that says “Pruna P Image is LIVE on Segmind”, bold cyberpunk style, dark city backdrop, intense electric colors",
26    "aspect_ratio": "16:9",
27    "width": 1024,
28    "height": 1024,
29    "seed": 42,
30    "disable_safety_checker": False,
31}
32job = client.submit_async("p-image", **payload)
33print(job.request_id)                         # available immediately
34try:
35    result = job.wait(timeout=600, interval=1.0)
36except InferenceTimeout as e:
37    print("still running:", e.request_id)
38except InferenceFailed as e:
39    print("failed:", e.detail)