Fooocus Outpainting 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    "focus-outpaint",
 9    prompt="Photo of man standing in a street",
10    negative_prompt="lowquality, badquality, sketches",
11    steps=30,
12    samples=1,
13    styles="V2,Enhance,Sharp",
14    aspect_ratios="1024*1024",
15    seed=354849415,
16    guidance_scale=4,
17    scheduler="karras",
18    sampler="dpmpp_2m_sde_gpu",
19    base_model="juggernaut_v8",
20    input_image="https://segmind-sd-models.s3.amazonaws.com/display_images/focus-outpaint-input.png",
21    outpaint_selections="Right, Left, Top, Bottom",
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": "Photo of man standing in a street",
34    "negative_prompt": "lowquality, badquality, sketches",
35    "steps": 30,
36    "samples": 1,
37    "styles": "V2,Enhance,Sharp",
38    "aspect_ratios": "1024*1024",
39    "seed": 354849415,
40    "guidance_scale": 4,
41    "scheduler": "karras",
42    "sampler": "dpmpp_2m_sde_gpu",
43    "base_model": "juggernaut_v8",
44    "input_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/focus-outpaint-input.png",
45    "outpaint_selections": "Right, Left, Top, Bottom",
46    "base64": False,
47}
48job = client.submit_async("focus-outpaint", **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)