Flux.1 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-schnell",
 9    prompt="a bengal tiger in an astronaut suit on mars, cubist style holding a sign saying 'awesome text gen'",
10    steps=4,
11    seed=123456789,
12    sampler_name="euler",
13    scheduler="normal",
14    samples=1,
15    width=1024,
16    height=1024,
17    denoise=1,
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    "prompt": "a bengal tiger in an astronaut suit on mars, cubist style holding a sign saying 'awesome text gen'",
29    "steps": 4,
30    "seed": 123456789,
31    "sampler_name": "euler",
32    "scheduler": "normal",
33    "samples": 1,
34    "width": 1024,
35    "height": 1024,
36    "denoise": 1,
37}
38job = client.submit_async("flux-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)