Cog videoX Image 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    "image": "https://segmind-sd-models.s3.amazonaws.com/display_images/cog_vid_i2v_ip.png",
11    "negative_prompt": "The video is not of a high quality, it has a low resolution. Watermark present in each frame. Strange motion trajectory.",
12    "prompt": "Animate this serene lakeside night scene with a flickering campfire, gentle water ripples, and subtle movements from the three people sitting around the campfire under the full moon.",
13    "seed": 42,
14}
15job = client.submit_async("cog-video-5b-i2v", **payload)
16print(job.request_id)                         # available immediately
17try:
18    result = job.wait(timeout=900, interval=2.0)
19    print(result["status"])                  # COMPLETED
20    print(result.get("output"))              # model output (e.g. video URL)
21except InferenceTimeout as e:
22    print("still running:", e.request_id)    # re-poll later with this id
23except InferenceFailed as e:
24    print("failed:", e.detail)
25
26# Fast models (<=600s) can use the one-liner instead:
27# result = segmind.run("cog-video-5b-i2v", **payload)