HiDream-I1 (Fast) 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    "hidream-l1-fast",
 9    seed=-1,
10    prompt="a cute panda holding a sign that says \"Keep Calm and Keep Building\"",
11    model_type="fast",
12    resolution="1024 × 1024 (Square)",
13    speed_mode="Lightly Juiced 🍊 (more consistent)",
14    output_format="webp",
15    output_quality=100,
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    "seed": -1,
27    "prompt": "a cute panda holding a sign that says \"Keep Calm and Keep Building\"",
28    "model_type": "fast",
29    "resolution": "1024 × 1024 (Square)",
30    "speed_mode": "Lightly Juiced 🍊 (more consistent)",
31    "output_format": "webp",
32    "output_quality": 100,
33}
34job = client.submit_async("hidream-l1-fast", **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)