Flux Ipadapter 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    "flux-ipadapter",
 9    adapter_strength=1,
10    base64=False,
11    guidance_scale=3.5,
12    image="https://segmind-sd-models.s3.amazonaws.com/display_images/assets_statue.jpeg",
13    image_format="jpeg",
14    num_inference_steps=20,
15    prompt="wearing sunglasses with red hair",
16    quality=95,
17    samples=1,
18    seed=32556,
19    strength=1,
20    true_gs=2,
21)
22print(result["status"])                      # COMPLETED
23print(result.get("output"))                  # model output (e.g. media URL)
24print(result["metrics"]["inference_time"])   # server compute seconds
25
26# --- Or submit + poll manually (track request_id, control the cadence) ---
27from segmind import SegmindClient, InferenceFailed, InferenceTimeout
28
29client = SegmindClient()                      # reads SEGMIND_API_KEY
30payload = {
31    "adapter_strength": 1,
32    "base64": False,
33    "guidance_scale": 3.5,
34    "image": "https://segmind-sd-models.s3.amazonaws.com/display_images/assets_statue.jpeg",
35    "image_format": "jpeg",
36    "num_inference_steps": 20,
37    "prompt": "wearing sunglasses with red hair",
38    "quality": 95,
39    "samples": 1,
40    "seed": 32556,
41    "strength": 1,
42    "true_gs": 2,
43}
44job = client.submit_async("flux-ipadapter", **payload)
45print(job.request_id)                         # available immediately
46try:
47    result = job.wait(timeout=600, interval=1.0)
48except InferenceTimeout as e:
49    print("still running:", e.request_id)
50except InferenceFailed as e:
51    print("failed:", e.detail)