Flux Fill Pro 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-fill-pro",
 9    mask="https://segmind-sd-models.s3.us-east-1.amazonaws.com/display_images/flux-tools/flux-fill-pro-mask.jpeg",
10    seed=965222,
11    image="https://segmind-sd-models.s3.us-east-1.amazonaws.com/display_images/flux-tools/flux-fill-pro-ip.jpg",
12    steps=50,
13    prompt="flower pot on the table",
14    guidance=3,
15    output_format="jpg",
16    safety_tolerance=2,
17    prompt_upsampling=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    "mask": "https://segmind-sd-models.s3.us-east-1.amazonaws.com/display_images/flux-tools/flux-fill-pro-mask.jpeg",
29    "seed": 965222,
30    "image": "https://segmind-sd-models.s3.us-east-1.amazonaws.com/display_images/flux-tools/flux-fill-pro-ip.jpg",
31    "steps": 50,
32    "prompt": "flower pot on the table",
33    "guidance": 3,
34    "output_format": "jpg",
35    "safety_tolerance": 2,
36    "prompt_upsampling": False,
37}
38job = client.submit_async("flux-fill-pro", **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)