Pruna P Image Edit 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-edit",
 9    prompt="Make the character from image 1 lean against the logo from image 2, as if the logo is standing upright on the ground",
10    image_urls=["https://segmind-resources.s3.amazonaws.com/input/116b8cb5-bfc4-4589-b824-0065631919c8-pruna-logo.jpg", "https://segmind-resources.s3.amazonaws.com/input/07ccec90-0c1b-4016-b15c-c09c140218c8-segmind-logo.png"],
11    aspect_ratio="match_input_image",
12    seed=42,
13    disable_safety_checker=False,
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": "Make the character from image 1 lean against the logo from image 2, as if the logo is standing upright on the ground",
25    "image_urls": ["https://segmind-resources.s3.amazonaws.com/input/116b8cb5-bfc4-4589-b824-0065631919c8-pruna-logo.jpg", "https://segmind-resources.s3.amazonaws.com/input/07ccec90-0c1b-4016-b15c-c09c140218c8-segmind-logo.png"],
26    "aspect_ratio": "match_input_image",
27    "seed": 42,
28    "disable_safety_checker": False,
29}
30job = client.submit_async("p-image-edit", **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)