Fooocus Inpainting 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-inpaint",
 9    prompt="Photo of a car on a road in a hill station",
10    negative_prompt="lowquality, badquality, sketches",
11    steps=30,
12    samples=1,
13    styles=["Fooocus V2", "Fooocus Sharp", "Fooocus Enhance"],
14    aspect_ratios="1024*1024",
15    seed=354849415,
16    guidance_scale=4,
17    scheduler="karras",
18    base_model="juggernaut_v8",
19    sampler="dpmpp_2m_sde_gpu",
20    input_image="https://segmind-sd-models.s3.amazonaws.com/display_images/focus-inpaint-input.jpg",
21    input_mask="https://segmind-sd-models.s3.amazonaws.com/display_images/focus-inpaint-mask.jpg",
22    inpaint_erode_or_dilate=1,
23    inpaint_respective_field=0.618,
24    inpaint_strength=1,
25    invert_mask_checkbox="false",
26    mixing_image_prompt_and_inpaint="true",
27    faceswap_cn_stop=0.9,
28    faceswap_cn_weight=0.8,
29    imageprompt_cn_stop=0.5,
30    imageprompt_cn_weight=0.6,
31    pyracanny_cn_stop=0.5,
32    pyracanny_cn_weight=1,
33    cpds_cn_stop=0.5,
34    cpds_cn_weight=1,
35    base64=False,
36)
37print(result["status"])                      # COMPLETED
38print(result.get("output"))                  # model output (e.g. media URL)
39print(result["metrics"]["inference_time"])   # server compute seconds
40
41# --- Or submit + poll manually (track request_id, control the cadence) ---
42from segmind import SegmindClient, InferenceFailed, InferenceTimeout
43
44client = SegmindClient()                      # reads SEGMIND_API_KEY
45payload = {
46    "prompt": "Photo of a car on a road in a hill station",
47    "negative_prompt": "lowquality, badquality, sketches",
48    "steps": 30,
49    "samples": 1,
50    "styles": ["Fooocus V2", "Fooocus Sharp", "Fooocus Enhance"],
51    "aspect_ratios": "1024*1024",
52    "seed": 354849415,
53    "guidance_scale": 4,
54    "scheduler": "karras",
55    "base_model": "juggernaut_v8",
56    "sampler": "dpmpp_2m_sde_gpu",
57    "input_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/focus-inpaint-input.jpg",
58    "input_mask": "https://segmind-sd-models.s3.amazonaws.com/display_images/focus-inpaint-mask.jpg",
59    "inpaint_erode_or_dilate": 1,
60    "inpaint_respective_field": 0.618,
61    "inpaint_strength": 1,
62    "invert_mask_checkbox": "false",
63    "mixing_image_prompt_and_inpaint": "true",
64    "faceswap_cn_stop": 0.9,
65    "faceswap_cn_weight": 0.8,
66    "imageprompt_cn_stop": 0.5,
67    "imageprompt_cn_weight": 0.6,
68    "pyracanny_cn_stop": 0.5,
69    "pyracanny_cn_weight": 1,
70    "cpds_cn_stop": 0.5,
71    "cpds_cn_weight": 1,
72    "base64": False,
73}
74job = client.submit_async("focus-inpaint", **payload)
75print(job.request_id)                         # available immediately
76try:
77    result = job.wait(timeout=600, interval=1.0)
78except InferenceTimeout as e:
79    print("still running:", e.request_id)
80except InferenceFailed as e:
81    print("failed:", e.detail)