Flux-2 Klein-9b 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    "flux-2-klein-9b",
 9    prompt="make the woman in image 1 wear the open cardigan from image 2.",
10    image_urls=["https://segmind-resources.s3.amazonaws.com/output/42b545b8-3175-45d8-8988-7df5d6d33a18-d59764eb-c62c-4453-8361-16165743d62c.png", "https://segmind-resources.s3.amazonaws.com/output/91a90af8-002a-4980-9c5e-27c8860ae659-cb60b30f527b4e9b87391c2d0d4167a5.jpeg"],
11    negative_prompt="low quality, blurry, less details",
12    seed=3425234,
13    cfg=5,
14    sampler="euler",
15    steps=20,
16    aspect_ratio="1:1",
17    go_fast=True,
18    image_format="png",
19    quality=90,
20)
21print(result["status"])                      # COMPLETED
22print(result.get("output"))                  # model output (e.g. media URL)
23print(result["metrics"]["inference_time"])   # server compute seconds
24
25# --- Or submit + poll manually (track request_id, control the cadence) ---
26from segmind import SegmindClient, InferenceFailed, InferenceTimeout
27
28client = SegmindClient()                      # reads SEGMIND_API_KEY
29payload = {
30    "prompt": "make the woman in image 1 wear the open cardigan from image 2.",
31    "image_urls": ["https://segmind-resources.s3.amazonaws.com/output/42b545b8-3175-45d8-8988-7df5d6d33a18-d59764eb-c62c-4453-8361-16165743d62c.png", "https://segmind-resources.s3.amazonaws.com/output/91a90af8-002a-4980-9c5e-27c8860ae659-cb60b30f527b4e9b87391c2d0d4167a5.jpeg"],
32    "negative_prompt": "low quality, blurry, less details",
33    "seed": 3425234,
34    "cfg": 5,
35    "sampler": "euler",
36    "steps": 20,
37    "aspect_ratio": "1:1",
38    "go_fast": True,
39    "image_format": "png",
40    "quality": 90,
41}
42job = client.submit_async("flux-2-klein-9b", **payload)
43print(job.request_id)                         # available immediately
44try:
45    result = job.wait(timeout=600, interval=1.0)
46except InferenceTimeout as e:
47    print("still running:", e.request_id)
48except InferenceFailed as e:
49    print("failed:", e.detail)