ClarityAI Creative Upscaler 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    "clarityai-creative-upscaler",
 9    image="https://segmind-resources.s3.amazonaws.com/input/be12721d-9990-4202-bbca-198812452fdf-3_before.png",
10    scale_factor=4,
11    creativity=4,
12    resemblance=3,
13    dynamic=4,
14    fractality=1,
15    style="portrait",
16    prompt="masterpiece, best quality, highres.",
17)
18print(result["status"])                      # COMPLETED
19print(result.get("output"))                  # model output (e.g. media URL)
20print(result["metrics"]["inference_time"])   # server compute seconds
21
22# --- Or submit + poll manually (track request_id, control the cadence) ---
23from segmind import SegmindClient, InferenceFailed, InferenceTimeout
24
25client = SegmindClient()                      # reads SEGMIND_API_KEY
26payload = {
27    "image": "https://segmind-resources.s3.amazonaws.com/input/be12721d-9990-4202-bbca-198812452fdf-3_before.png",
28    "scale_factor": 4,
29    "creativity": 4,
30    "resemblance": 3,
31    "dynamic": 4,
32    "fractality": 1,
33    "style": "portrait",
34    "prompt": "masterpiece, best quality, highres.",
35}
36job = client.submit_async("clarityai-creative-upscaler", **payload)
37print(job.request_id)                         # available immediately
38try:
39    result = job.wait(timeout=600, interval=1.0)
40except InferenceTimeout as e:
41    print("still running:", e.request_id)
42except InferenceFailed as e:
43    print("failed:", e.detail)