Flux Redux Schnell 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-redux-schnell",
 9    seed=98566,
10    megapixels="1",
11    num_outputs=1,
12    redux_image="https://segmind-sd-models.s3.us-east-1.amazonaws.com/display_images/flux-tools/flux-redux-schnell-ip.png",
13    aspect_ratio="1:1",
14    output_format="jpg",
15    output_quality=80,
16    num_inference_steps=4,
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": 98566,
29    "megapixels": "1",
30    "num_outputs": 1,
31    "redux_image": "https://segmind-sd-models.s3.us-east-1.amazonaws.com/display_images/flux-tools/flux-redux-schnell-ip.png",
32    "aspect_ratio": "1:1",
33    "output_format": "jpg",
34    "output_quality": 80,
35    "num_inference_steps": 4,
36    "disable_safety_checker": False,
37}
38job = client.submit_async("flux-redux-schnell", **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)