HotshotXL 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    "hotshot-xl",
 9    mp4=False,
10    seed=6226,
11    steps=30,
12    width=672,
13    height=384,
14    prompt="a dog running towards you with a smile, hd, high quality",
15    scheduler="EulerAncestralDiscreteScheduler",
16    negative_prompt="blurry",
17)
18print(result["status"])                      # COMPLETED
19print(result.get("output"))                  # model output (e.g. media URL)
20print(result["metrics"]["inference_time"])   # server compute seconds
21
22# --- Or submit + poll manually (track request_id, control the cadence) ---
23from segmind import SegmindClient, InferenceFailed, InferenceTimeout
24
25client = SegmindClient()                      # reads SEGMIND_API_KEY
26payload = {
27    "mp4": False,
28    "seed": 6226,
29    "steps": 30,
30    "width": 672,
31    "height": 384,
32    "prompt": "a dog running towards you with a smile, hd, high quality",
33    "scheduler": "EulerAncestralDiscreteScheduler",
34    "negative_prompt": "blurry",
35}
36job = client.submit_async("hotshot-xl", **payload)
37print(job.request_id)                         # available immediately
38try:
39    result = job.wait(timeout=600, interval=1.0)
40except InferenceTimeout as e:
41    print("still running:", e.request_id)
42except InferenceFailed as e:
43    print("failed:", e.detail)