Qwen Image 2.1 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    "qwen-image-2.1-pro",
 9    prompt="A die-cut glossy vinyl sticker of a potted monstera deliciosa houseplant in a terracotta pot, bold clean white sticker border, flat illustration, on a fully transparent background with a real alpha channel, no background fill.",
10    size="1328*1328",
11    prompt_extend=False,
12    prompt_extend_mode="direct",
13    seed=12345,
14    watermark=False,
15)
16print(result["status"])                      # COMPLETED
17print(result.get("output"))                  # model output (e.g. media URL)
18print(result["metrics"]["inference_time"])   # server compute seconds
19
20# --- Or submit + poll manually (track request_id, control the cadence) ---
21from segmind import SegmindClient, InferenceFailed, InferenceTimeout
22
23client = SegmindClient()                      # reads SEGMIND_API_KEY
24payload = {
25    "prompt": "A die-cut glossy vinyl sticker of a potted monstera deliciosa houseplant in a terracotta pot, bold clean white sticker border, flat illustration, on a fully transparent background with a real alpha channel, no background fill.",
26    "size": "1328*1328",
27    "prompt_extend": False,
28    "prompt_extend_mode": "direct",
29    "seed": 12345,
30    "watermark": False,
31}
32job = client.submit_async("qwen-image-2.1-pro", **payload)
33print(job.request_id)                         # available immediately
34try:
35    result = job.wait(timeout=600, interval=1.0)
36except InferenceTimeout as e:
37    print("still running:", e.request_id)
38except InferenceFailed as e:
39    print("failed:", e.detail)