Pruna P Video Avatar 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/input/p-video-avatar-input-portrait.jpg",
11    "voice_script": "Hi there! Welcome to Segmind, where a single photo becomes a lifelike, lip-synced talking avatar.",
12    "voice": "Zephyr (Female)",
13    "resolution": "720p",
14    "voice_language": "English (US)",
15    "video_prompt": "The person is talking to the camera with natural head movement and expressions.",
16    "voice_prompt": "Speak in a warm, friendly and welcoming tone.",
17    "negative_prompt": "subtitles, text, watermark, blurry, distorted face, extra fingers",
18    "strength_negative_prompt": 0.5,
19    "seed": 42,
20    "disable_safety_filter": True,
21    "disable_prompt_upsampling": False,
22}
23job = client.submit_async("p-video-avatar", **payload)
24print(job.request_id)                         # available immediately
25try:
26    result = job.wait(timeout=900, interval=2.0)
27    print(result["status"])                  # COMPLETED
28    print(result.get("output"))              # model output (e.g. video URL)
29except InferenceTimeout as e:
30    print("still running:", e.request_id)    # re-poll later with this id
31except InferenceFailed as e:
32    print("failed:", e.detail)
33
34# Fast models (<=600s) can use the one-liner instead:
35# result = segmind.run("p-video-avatar", **payload)