Flux.1 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-dev",
 9    prompt="detailed cinematic dof render of an old dusty detailed CRT monitor on a wooden desk in a dim room with items around, messy dirty room. On the screen are the letters “FLUX dev” glowing softly. High detail hard surface render",
10    samples=1,
11    guidance=3.5,
12    steps=25,
13    prompt_strength=0.8,
14    aspect_ratio="1:1",
15    seed=46588,
16    output_format="webp",
17    output_quality=80,
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": "detailed cinematic dof render of an old dusty detailed CRT monitor on a wooden desk in a dim room with items around, messy dirty room. On the screen are the letters “FLUX dev” glowing softly. High detail hard surface render",
29    "samples": 1,
30    "guidance": 3.5,
31    "steps": 25,
32    "prompt_strength": 0.8,
33    "aspect_ratio": "1:1",
34    "seed": 46588,
35    "output_format": "webp",
36    "output_quality": 80,
37}
38job = client.submit_async("flux-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)