Wan 2.2 Image to Video Fast 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-resources.s3.amazonaws.com/output/310df0db-0c5e-4c5a-8c78-5db73fbc7c91-bcd49a2d-a0a9-465e-aefd-ca9b5ebb11a7.jpeg",
11    "prompt": "4K cinematic close-up of a bloodied, battle-worn Viking warrior kneeling in a snowy sacred cave, eyes wide and glassy with intensity.His long braided blonde beard is frosted with snow, blood streaks run down his face and shoulders.The background is dimly lit by a flickering flame behind him — ancient carvings and symbols glow faintly on the icy stone wall.Camera slowly pushes in on his face as snow swirls in slow motion, and he breathes heavily, lips slightly parted.Suddenly, subtle glitch effects ripple across his face — like time distorting — as if a divine force is entering his mind.In the distance, an echo of a woman’s voice is heard whispering prophecy.As his eyes narrow, a faint blue rune glow reflects in his iris, foreshadowing something ancient and powerful.The camera holds as his expression changes — from fear… to understanding… to resolve.",
12    "go_fast": True,
13    "num_frames": 81,
14    "resolution": "480p",
15    "aspect_ratio": "16:9",
16    "sample_shift": 12,
17    "frames_per_second": 16,
18    "high_noise_lora_scale": 1,
19    "low_noise_lora_scale": 1,
20    "high_noise_lora_scale_2": 1,
21    "low_noise_lora_scale_2": 1,
22    "high_noise_lora_scale_3": 1,
23    "low_noise_lora_scale_3": 1,
24}
25job = client.submit_async("wan-2.2-i2v-fast", **payload)
26print(job.request_id)                         # available immediately
27try:
28    result = job.wait(timeout=900, interval=2.0)
29    print(result["status"])                  # COMPLETED
30    print(result.get("output"))              # model output (e.g. video URL)
31except InferenceTimeout as e:
32    print("still running:", e.request_id)    # re-poll later with this id
33except InferenceFailed as e:
34    print("failed:", e.detail)
35
36# Fast models (<=600s) can use the one-liner instead:
37# result = segmind.run("wan-2.2-i2v-fast", **payload)