Consistent Character 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    "consistent-character",
 9    seed=42,
10    prompt="a photo of a man at a beach, wearing hawaiian shirt, looking directly at the camera",
11    subject="https://segmind-sd-models.s3.amazonaws.com/display_images/consistant-character-ip.png",
12    output_format="webp",
13    output_quality=80,
14    negative_prompt="low quality,blur",
15    randomise_poses=True,
16    number_of_outputs=1,
17    number_of_images_per_pose=1,
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    "seed": 42,
29    "prompt": "a photo of a man at a beach, wearing hawaiian shirt, looking directly at the camera",
30    "subject": "https://segmind-sd-models.s3.amazonaws.com/display_images/consistant-character-ip.png",
31    "output_format": "webp",
32    "output_quality": 80,
33    "negative_prompt": "low quality,blur",
34    "randomise_poses": True,
35    "number_of_outputs": 1,
36    "number_of_images_per_pose": 1,
37}
38job = client.submit_async("consistent-character", **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)