Flux Krea 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-krea-dev",
 9    seed=42,
10    prompt="A miniature raccoon explorer made of wool wearing all kinds of equipment, the whole world is made of felt textile, holding a signboard which says 'Flux krea dev on Segmind'",
11    go_fast=True,
12    guidance=3,
13    megapixels="1",
14    num_outputs=2,
15    aspect_ratio="16:9",
16    output_format="jpg",
17    output_quality=90,
18    prompt_strength=0.7,
19    num_inference_steps=40,
20    disable_safety_checker=False,
21)
22print(result["status"])                      # COMPLETED
23print(result.get("output"))                  # model output (e.g. media URL)
24print(result["metrics"]["inference_time"])   # server compute seconds
25
26# --- Or submit + poll manually (track request_id, control the cadence) ---
27from segmind import SegmindClient, InferenceFailed, InferenceTimeout
28
29client = SegmindClient()                      # reads SEGMIND_API_KEY
30payload = {
31    "seed": 42,
32    "prompt": "A miniature raccoon explorer made of wool wearing all kinds of equipment, the whole world is made of felt textile, holding a signboard which says 'Flux krea dev on Segmind'",
33    "go_fast": True,
34    "guidance": 3,
35    "megapixels": "1",
36    "num_outputs": 2,
37    "aspect_ratio": "16:9",
38    "output_format": "jpg",
39    "output_quality": 90,
40    "prompt_strength": 0.7,
41    "num_inference_steps": 40,
42    "disable_safety_checker": False,
43}
44job = client.submit_async("flux-krea-dev", **payload)
45print(job.request_id)                         # available immediately
46try:
47    result = job.wait(timeout=600, interval=1.0)
48except InferenceTimeout as e:
49    print("still running:", e.request_id)
50except InferenceFailed as e:
51    print("failed:", e.detail)