illusion-diffusion-hq 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    "illusion-diffusion-hq",
 9    seed=-1,
10    image="https://segmind-sd-models.s3.amazonaws.com/display_images/spiral.png",
11    width=768,
12    border=1,
13    height=768,
14    prompt="(masterpiece:1.4), (best quality), (detailed), Medieval village scene with busy streets and castle in the distance",
15    num_outputs=1,
16    guidance_scale=7.5,
17    negative_prompt="ugly, disfigured, low quality, blurry, nsfw",
18    qrcode_background="gray",
19    num_inference_steps=40,
20    controlnet_conditioning_scale=1,
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    "seed": -1,
32    "image": "https://segmind-sd-models.s3.amazonaws.com/display_images/spiral.png",
33    "width": 768,
34    "border": 1,
35    "height": 768,
36    "prompt": "(masterpiece:1.4), (best quality), (detailed), Medieval village scene with busy streets and castle in the distance",
37    "num_outputs": 1,
38    "guidance_scale": 7.5,
39    "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
40    "qrcode_background": "gray",
41    "num_inference_steps": 40,
42    "controlnet_conditioning_scale": 1,
43}
44job = client.submit_async("illusion-diffusion-hq", **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)