Bria Increase Resolution 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    "bria-increase-resolution",
 9    image="https://segmind-inference-inputs.s3.amazonaws.com/17cd85f6-602b-4f08-8d76-01564d2c7bde-299f0158-c9d6-4142-bddb-b8c5fa61504a.jpeg",
10    visual_input_content_moderation=False,
11    visual_output_content_moderation=False,
12    desired_increase=4,
13    preserve_alpha=True,
14)
15print(result["status"])                      # COMPLETED
16print(result.get("output"))                  # model output (e.g. media URL)
17print(result["metrics"]["inference_time"])   # server compute seconds
18
19# --- Or submit + poll manually (track request_id, control the cadence) ---
20from segmind import SegmindClient, InferenceFailed, InferenceTimeout
21
22client = SegmindClient()                      # reads SEGMIND_API_KEY
23payload = {
24    "image": "https://segmind-inference-inputs.s3.amazonaws.com/17cd85f6-602b-4f08-8d76-01564d2c7bde-299f0158-c9d6-4142-bddb-b8c5fa61504a.jpeg",
25    "visual_input_content_moderation": False,
26    "visual_output_content_moderation": False,
27    "desired_increase": 4,
28    "preserve_alpha": True,
29}
30job = client.submit_async("bria-increase-resolution", **payload)
31print(job.request_id)                         # available immediately
32try:
33    result = job.wait(timeout=600, interval=1.0)
34except InferenceTimeout as e:
35    print("still running:", e.request_id)
36except InferenceFailed as e:
37    print("failed:", e.detail)