Pruna P Video 2 Pro Avatar 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    "voice_language": "English (US)",
14    "resolution": "768p",
15    "prompt": "The person is talking.",
16    "prompt_upsampling": True,
17    "voice_prompt": "Say the following.",
18    "seed": -1,
19}
20job = client.submit_async("p-video-2-pro-avatar", **payload)
21print(job.request_id)                         # available immediately
22try:
23    result = job.wait(timeout=900, interval=2.0)
24    print(result["status"])                  # COMPLETED
25    print(result.get("output"))              # model output (e.g. video URL)
26except InferenceTimeout as e:
27    print("still running:", e.request_id)    # re-poll later with this id
28except InferenceFailed as e:
29    print("failed:", e.detail)
30
31# Fast models (<=600s) can use the one-liner instead:
32# result = segmind.run("p-video-2-pro-avatar", **payload)