Multi Image Kontext Max 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    "multi-image-kontext-max",
 9    seed=42,
10    prompt="put the green dress on the woman while maintaining the pose of the woman as it is",
11    aspect_ratio="1:1",
12    input_image_1="https://segmind-resources.s3.amazonaws.com/output/9cb479d3-5c5f-4d5d-a782-972acbc42598-c1.jpg",
13    input_image_2="https://segmind-resources.s3.amazonaws.com/output/79feee7b-d09f-4bde-bec3-c8e8a8703f04-d2.png",
14    output_format="jpg",
15    safety_tolerance=1,
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    "seed": 42,
27    "prompt": "put the green dress on the woman while maintaining the pose of the woman as it is",
28    "aspect_ratio": "1:1",
29    "input_image_1": "https://segmind-resources.s3.amazonaws.com/output/9cb479d3-5c5f-4d5d-a782-972acbc42598-c1.jpg",
30    "input_image_2": "https://segmind-resources.s3.amazonaws.com/output/79feee7b-d09f-4bde-bec3-c8e8a8703f04-d2.png",
31    "output_format": "jpg",
32    "safety_tolerance": 1,
33}
34job = client.submit_async("multi-image-kontext-max", **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)