Qwen Image 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",
 9    prompt="A mystical dragon hovering above a sparkling waterfall under a starry sky.",
10    negative_prompt="blurry, cartoonish",
11    steps=30,
12    seed=-1,
13    guidance=3.5,
14    aspect_ratio="16:9",
15    image_format="png",
16    quality=90,
17    base64=False,
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 mystical dragon hovering above a sparkling waterfall under a starry sky.",
29    "negative_prompt": "blurry, cartoonish",
30    "steps": 30,
31    "seed": -1,
32    "guidance": 3.5,
33    "aspect_ratio": "16:9",
34    "image_format": "png",
35    "quality": 90,
36    "base64": False,
37}
38job = client.submit_async("qwen-image", **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)