Bria Vector Graphics 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-text-to-vector-graphics",
 9    prompt="A playful cartoon kitten, sitting with a tiny ball of yarn, in a clean, minimalistic vector illustration style, suitable for icons, stickers, and scalable graphics.",
10    mode="base",
11    aspect_ratio="1:1",
12    seed=12345,
13    negative_prompt="dark colors",
14    steps_num=30,
15    medium="art",
16    prompt_enhancement=False,
17    enhance_image=False,
18    prompt_content_moderation=True,
19    content_moderation=False,
20    ip_signal=False,
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    "prompt": "A playful cartoon kitten, sitting with a tiny ball of yarn, in a clean, minimalistic vector illustration style, suitable for icons, stickers, and scalable graphics.",
32    "mode": "base",
33    "aspect_ratio": "1:1",
34    "seed": 12345,
35    "negative_prompt": "dark colors",
36    "steps_num": 30,
37    "medium": "art",
38    "prompt_enhancement": False,
39    "enhance_image": False,
40    "prompt_content_moderation": True,
41    "content_moderation": False,
42    "ip_signal": False,
43}
44job = client.submit_async("bria-text-to-vector-graphics", **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)