Relighting 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    "ic-light",
 9    cfg=2,
10    seed=42,
11    steps=25,
12    width=512,
13    height=640,
14    prompt="cat, photoshoot, 4k",
15    highres_scale=1.5,
16    output_format="webp",
17    subject_image="https://segmind-sd-models.s3.amazonaws.com/display_images/ic-lighting-input.jpeg",
18    lowres_denoise=0.9,
19    output_quality=80,
20    appended_prompt="best quality",
21    highres_denoise=0.5,
22    negative_prompt="lowres, bad anatomy, bad hands, cropped, worst quality",
23    number_of_images=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    "cfg": 2,
35    "seed": 42,
36    "steps": 25,
37    "width": 512,
38    "height": 640,
39    "prompt": "cat, photoshoot, 4k",
40    "highres_scale": 1.5,
41    "output_format": "webp",
42    "subject_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/ic-lighting-input.jpeg",
43    "lowres_denoise": 0.9,
44    "output_quality": 80,
45    "appended_prompt": "best quality",
46    "highres_denoise": 0.5,
47    "negative_prompt": "lowres, bad anatomy, bad hands, cropped, worst quality",
48    "number_of_images": 1,
49}
50job = client.submit_async("ic-light", **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)