Background Replace 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    "bg-replace",
 9    image="https://segmind-sd-models.s3.amazonaws.com/outputs/bg_replace_input.jpg",
10    ref_image="https://segmind-sd-models.s3.amazonaws.com/outputs/bg_input_reference.jpg",
11    prompt="Pefume bottle placed on top of a rock, in a jungle",
12    negative_prompt="bad quality, painting, blur",
13    samples=1,
14    scheduler="DDIM",
15    num_inference_steps=25,
16    guidance_scale=7.5,
17    seed=12467,
18    strength=1,
19    cn_weight=0.9,
20    ip_adapter_weight=0.5,
21    base64=False,
22)
23print(result["status"])                      # COMPLETED
24print(result.get("output"))                  # model output (e.g. media URL)
25print(result["metrics"]["inference_time"])   # server compute seconds
26
27# --- Or submit + poll manually (track request_id, control the cadence) ---
28from segmind import SegmindClient, InferenceFailed, InferenceTimeout
29
30client = SegmindClient()                      # reads SEGMIND_API_KEY
31payload = {
32    "image": "https://segmind-sd-models.s3.amazonaws.com/outputs/bg_replace_input.jpg",
33    "ref_image": "https://segmind-sd-models.s3.amazonaws.com/outputs/bg_input_reference.jpg",
34    "prompt": "Pefume bottle placed on top of a rock, in a jungle",
35    "negative_prompt": "bad quality, painting, blur",
36    "samples": 1,
37    "scheduler": "DDIM",
38    "num_inference_steps": 25,
39    "guidance_scale": 7.5,
40    "seed": 12467,
41    "strength": 1,
42    "cn_weight": 0.9,
43    "ip_adapter_weight": 0.5,
44    "base64": False,
45}
46job = client.submit_async("bg-replace", **payload)
47print(job.request_id)                         # available immediately
48try:
49    result = job.wait(timeout=600, interval=1.0)
50except InferenceTimeout as e:
51    print("still running:", e.request_id)
52except InferenceFailed as e:
53    print("failed:", e.detail)