HappyHorse 1.1 Serverless API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
 4
 5# Async (v2) — recommended for long-running / video models.
 6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
 7# deadline and keeps the request_id so you can re-poll later.
 8client = SegmindClient()                      # reads SEGMIND_API_KEY
 9payload = {
10    "prompt": "A majestic white horse galloping through golden wheat fields at sunset, cinematic slow motion, warm golden hour lighting, dust particles catching sunlight, shallow depth of field, professional nature documentary style",
11    "negative_prompt": "blurry, low quality, distorted, watermark, text",
12    "resolution": "720P",
13    "duration": 5,
14    "aspect_ratio": "16:9",
15    "prompt_extend": True,
16    "watermark": False,
17}
18job = client.submit_async("happyhorse-1.1", **payload)
19print(job.request_id)                         # available immediately
20try:
21    result = job.wait(timeout=900, interval=2.0)
22    print(result["status"])                  # COMPLETED
23    print(result.get("output"))              # model output (e.g. video URL)
24except InferenceTimeout as e:
25    print("still running:", e.request_id)    # re-poll later with this id
26except InferenceFailed as e:
27    print("failed:", e.detail)
28
29# Fast models (<=600s) can use the one-liner instead:
30# result = segmind.run("happyhorse-1.1", **payload)