Recraft V4 Pro 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    "recraft-v4-pro",
 9    prompt="A tabletop board game box top for a cooperative deep-sea expedition game. Title 'ABYSS PROTOCOL' in bold condensed serif letters across the top, a smaller tagline 'descend, survive, resurface' beneath it, and a bottom banner reading '2-4 PLAYERS  AGES 12+  60 MIN'. Centered flat illustration of a brass diving bell descending past a glowing bioluminescent anglerfish, teal-to-indigo palette, mid-century poster illustration",
10    style_reference_urls=[],
11    size="2048x2048",
12    style_match="flexible",
13    colors=[],
14    background_color=None,
15    seed=-1,
16)
17print(result["status"])                      # COMPLETED
18print(result.get("output"))                  # model output (e.g. media URL)
19print(result["metrics"]["inference_time"])   # server compute seconds
20
21# --- Or submit + poll manually (track request_id, control the cadence) ---
22from segmind import SegmindClient, InferenceFailed, InferenceTimeout
23
24client = SegmindClient()                      # reads SEGMIND_API_KEY
25payload = {
26    "prompt": "A tabletop board game box top for a cooperative deep-sea expedition game. Title 'ABYSS PROTOCOL' in bold condensed serif letters across the top, a smaller tagline 'descend, survive, resurface' beneath it, and a bottom banner reading '2-4 PLAYERS  AGES 12+  60 MIN'. Centered flat illustration of a brass diving bell descending past a glowing bioluminescent anglerfish, teal-to-indigo palette, mid-century poster illustration",
27    "style_reference_urls": [],
28    "size": "2048x2048",
29    "style_match": "flexible",
30    "colors": [],
31    "background_color": None,
32    "seed": -1,
33}
34job = client.submit_async("recraft-v4-pro", **payload)
35print(job.request_id)                         # available immediately
36try:
37    result = job.wait(timeout=600, interval=1.0)
38except InferenceTimeout as e:
39    print("still running:", e.request_id)
40except InferenceFailed as e:
41    print("failed:", e.detail)