Runway Gen 4 Turbo 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    "promptText": "as the camera pans the Brooklyn bridge gets on fire and collapse",
11    "promptImage": "https://segmind-inference-inputs.s3.amazonaws.com/bfeb3c8d-e9cc-4d59-bda5-626fcb20f90d-2afac9bc-68f5-4611-aa1b-d0bae2cecf3b-bc0f7ed8-c35b-4514-84f1-5a392d6e9b8a-thewaterwascold.png",
12    "seed": 56698,
13    "ratio": "1280:720",
14    "duration": "5",
15}
16job = client.submit_async("runway-gen4-turbo", **payload)
17print(job.request_id)                         # available immediately
18try:
19    result = job.wait(timeout=900, interval=2.0)
20    print(result["status"])                  # COMPLETED
21    print(result.get("output"))              # model output (e.g. video URL)
22except InferenceTimeout as e:
23    print("still running:", e.request_id)    # re-poll later with this id
24except InferenceFailed as e:
25    print("failed:", e.detail)
26
27# Fast models (<=600s) can use the one-liner instead:
28# result = segmind.run("runway-gen4-turbo", **payload)