Infinite You Serverless API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3import segmind
 4
 5# Async (v2): submit to the queue and block until COMPLETED.
 6# run() returns the final result dict (600s deadline, 1.0s poll by default).
 7result = segmind.run(
 8    "infinite-you",
 9    seed=6255,
10    width=864,
11    height=1152,
12    prompt="A sophisticated gentleman exuding confidence. He is dressed in a 1990s brown plaid jacket with a high collar, paired with a dark grey turtleneck. His trousers are tailored and charcoal in color, complemented by a sleek leather belt. The background showcases an elegant library with bookshelves, a marble fireplace, and warm lighting, creating a refined and cozy atmosphere. His relaxed posture and casual hand-in-pocket stance add to his composed and stylish demeanor",
13    id_image="https://segmind-resources.s3.amazonaws.com/output/e533504e-4e22-4219-88a1-152e002e1a99-man2.png",
14    num_steps=30,
15    model_version="aes_stage2",
16    output_format="webp",
17    enable_realism=True,
18    guidance_scale=3.5,
19    output_quality=80,
20    enable_anti_blur=False,
21    infusenet_guidance_end=1,
22    infusenet_guidance_start=0,
23    infusenet_conditioning_scale=1,
24)
25print(result["status"])                      # COMPLETED
26print(result.get("output"))                  # model output (e.g. media URL)
27print(result["metrics"]["inference_time"])   # server compute seconds
28
29# --- Or submit + poll manually (track request_id, control the cadence) ---
30from segmind import SegmindClient, InferenceFailed, InferenceTimeout
31
32client = SegmindClient()                      # reads SEGMIND_API_KEY
33payload = {
34    "seed": 6255,
35    "width": 864,
36    "height": 1152,
37    "prompt": "A sophisticated gentleman exuding confidence. He is dressed in a 1990s brown plaid jacket with a high collar, paired with a dark grey turtleneck. His trousers are tailored and charcoal in color, complemented by a sleek leather belt. The background showcases an elegant library with bookshelves, a marble fireplace, and warm lighting, creating a refined and cozy atmosphere. His relaxed posture and casual hand-in-pocket stance add to his composed and stylish demeanor",
38    "id_image": "https://segmind-resources.s3.amazonaws.com/output/e533504e-4e22-4219-88a1-152e002e1a99-man2.png",
39    "num_steps": 30,
40    "model_version": "aes_stage2",
41    "output_format": "webp",
42    "enable_realism": True,
43    "guidance_scale": 3.5,
44    "output_quality": 80,
45    "enable_anti_blur": False,
46    "infusenet_guidance_end": 1,
47    "infusenet_guidance_start": 0,
48    "infusenet_conditioning_scale": 1,
49}
50job = client.submit_async("infinite-you", **payload)
51print(job.request_id)                         # available immediately
52try:
53    result = job.wait(timeout=600, interval=1.0)
54except InferenceTimeout as e:
55    print("still running:", e.request_id)
56except InferenceFailed as e:
57    print("failed:", e.detail)