SegFIT: Segmind Fashion and Immersive Try-on 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    "segfit",
 9    outfit_image="https://segmind-inference-inputs.s3.ap-south-1.amazonaws.com/a8b0d0b4-8b45-4ff4-b42e-66c96c0070ee.jpeg",
10    gender="woman",
11    nationality="indian",
12    location="garden",
13    prompt_clothing="cloth,dress,stripes,lace",
14    seed=42,
15    image_format="png",
16    image_quality=95,
17    base64=False,
18)
19print(result["status"])                      # COMPLETED
20print(result.get("output"))                  # model output (e.g. media URL)
21print(result["metrics"]["inference_time"])   # server compute seconds
22
23# --- Or submit + poll manually (track request_id, control the cadence) ---
24from segmind import SegmindClient, InferenceFailed, InferenceTimeout
25
26client = SegmindClient()                      # reads SEGMIND_API_KEY
27payload = {
28    "outfit_image": "https://segmind-inference-inputs.s3.ap-south-1.amazonaws.com/a8b0d0b4-8b45-4ff4-b42e-66c96c0070ee.jpeg",
29    "gender": "woman",
30    "nationality": "indian",
31    "location": "garden",
32    "prompt_clothing": "cloth,dress,stripes,lace",
33    "seed": 42,
34    "image_format": "png",
35    "image_quality": 95,
36    "base64": False,
37}
38job = client.submit_async("segfit", **payload)
39print(job.request_id)                         # available immediately
40try:
41    result = job.wait(timeout=600, interval=1.0)
42except InferenceTimeout as e:
43    print("still running:", e.request_id)
44except InferenceFailed as e:
45    print("failed:", e.detail)