MiniMax H3 Optimised Reference to Video 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": "Image 1 is the locomotive driver. On the footplate of a steam locomotive pounding along an open track, he leans out of the cab window, looks back along the train and says clearly, 'Right, she's holding pressure - take us up the bank.' Follow the camera movement from Video 1. The firebox throws an orange glow across his face, white steam streams past, and a moment later the whistle lets out a long shriek as the wheels hammer the rails. Medium shot from alongside the moving cab.",
11    "reference_images": ["https://segmind-resources.s3.amazonaws.com/input/minimax-h3-optimised-r2v-driver-ref.jpg"],
12    "reference_video": "https://segmind-resources.s3.amazonaws.com/input/minimax-h3-optimised-r2v-camera-ref.mp4",
13    "resolution": "768p",
14    "duration": 5,
15    "aspect_ratio": "16:9",
16    "quality": "high",
17    "enhance_prompt": True,
18}
19job = client.submit_async("minimax-h3-optimised-reference-to-video", **payload)
20print(job.request_id)                         # available immediately
21try:
22    result = job.wait(timeout=900, interval=2.0)
23    print(result["status"])                  # COMPLETED
24    print(result.get("output"))              # model output (e.g. video URL)
25except InferenceTimeout as e:
26    print("still running:", e.request_id)    # re-poll later with this id
27except InferenceFailed as e:
28    print("failed:", e.detail)
29
30# Fast models (<=600s) can use the one-liner instead:
31# result = segmind.run("minimax-h3-optimised-reference-to-video", **payload)