Chroma 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    "chroma",
 9    prompt="Close-up portrait of a young knight in shining armor, holding a sword, set against a medieval castle background, dramatic lighting.",
10    negative_prompt="low quality, ugly, deformed, blurry, bad anatomy, distorted, unrealistic",
11    width=1024,
12    height=1024,
13    aspect_ratio="1:1 square 1024x1024",
14    cfg=7,
15    sampler_name="euler",
16    scheduler="beta",
17    steps=40,
18    seed=123456789,
19    samples=1,
20    image_format="png",
21    image_quality=95,
22    base64=False,
23)
24print(result["status"])                      # COMPLETED
25print(result.get("output"))                  # model output (e.g. media URL)
26print(result["metrics"]["inference_time"])   # server compute seconds
27
28# --- Or submit + poll manually (track request_id, control the cadence) ---
29from segmind import SegmindClient, InferenceFailed, InferenceTimeout
30
31client = SegmindClient()                      # reads SEGMIND_API_KEY
32payload = {
33    "prompt": "Close-up portrait of a young knight in shining armor, holding a sword, set against a medieval castle background, dramatic lighting.",
34    "negative_prompt": "low quality, ugly, deformed, blurry, bad anatomy, distorted, unrealistic",
35    "width": 1024,
36    "height": 1024,
37    "aspect_ratio": "1:1 square 1024x1024",
38    "cfg": 7,
39    "sampler_name": "euler",
40    "scheduler": "beta",
41    "steps": 40,
42    "seed": 123456789,
43    "samples": 1,
44    "image_format": "png",
45    "image_quality": 95,
46    "base64": False,
47}
48job = client.submit_async("chroma", **payload)
49print(job.request_id)                         # available immediately
50try:
51    result = job.wait(timeout=600, interval=1.0)
52except InferenceTimeout as e:
53    print("still running:", e.request_id)
54except InferenceFailed as e:
55    print("failed:", e.detail)