FLUX.1 Kontext [dev] 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-kontext-dev",
 9    seed=42,
10    prompt="Replace the background with a bokeh light effect, zooming in on the subject, keeping the person’s pose, position, scale, and camera angle identical. Only change the surrounding environment. ",
11    guidance=7,
12    input_image="https://images.segmind.com/generations/901b78cd-381a-4284-8391-306d4c7409e1/6852c6602b5db2d623cc373cfa699b55.webp",
13    aspect_ratio="match_input_image",
14    output_format="png",
15    output_quality=90,
16    num_inference_steps=35,
17    disable_safety_checker=False,
18)
19print(result["status"])                      # COMPLETED
20print(result.get("output"))                  # model output (e.g. media URL)
21print(result["metrics"]["inference_time"])   # server compute seconds
22
23# --- Or submit + poll manually (track request_id, control the cadence) ---
24from segmind import SegmindClient, InferenceFailed, InferenceTimeout
25
26client = SegmindClient()                      # reads SEGMIND_API_KEY
27payload = {
28    "seed": 42,
29    "prompt": "Replace the background with a bokeh light effect, zooming in on the subject, keeping the person’s pose, position, scale, and camera angle identical. Only change the surrounding environment. ",
30    "guidance": 7,
31    "input_image": "https://images.segmind.com/generations/901b78cd-381a-4284-8391-306d4c7409e1/6852c6602b5db2d623cc373cfa699b55.webp",
32    "aspect_ratio": "match_input_image",
33    "output_format": "png",
34    "output_quality": 90,
35    "num_inference_steps": 35,
36    "disable_safety_checker": False,
37}
38job = client.submit_async("flux-kontext-dev", **payload)
39print(job.request_id)                         # available immediately
40try:
41    result = job.wait(timeout=600, interval=1.0)
42except InferenceTimeout as e:
43    print("still running:", e.request_id)
44except InferenceFailed as e:
45    print("failed:", e.detail)