Consistent Character AI Neolemon V3 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    "consistent-character-AI-neolemon-v3",
 9    prompt="young man,beard, light skin, round face, large brown eyes and wavy brown hair, wearing a white t-shirt, red plaid shirt, blue jeans, and brown boots",
10    ip_image=" https://segmind-sd-models.s3.amazonaws.com/display_images/def_ip_image.png",
11    steps=10,
12    guidance_scale=3,
13    width=1024,
14    height=1024,
15    seed=4898558797,
16)
17print(result["status"])                      # COMPLETED
18print(result.get("output"))                  # model output (e.g. media URL)
19print(result["metrics"]["inference_time"])   # server compute seconds
20
21# --- Or submit + poll manually (track request_id, control the cadence) ---
22from segmind import SegmindClient, InferenceFailed, InferenceTimeout
23
24client = SegmindClient()                      # reads SEGMIND_API_KEY
25payload = {
26    "prompt": "young man,beard, light skin, round face, large brown eyes and wavy brown hair, wearing a white t-shirt, red plaid shirt, blue jeans, and brown boots",
27    "ip_image": " https://segmind-sd-models.s3.amazonaws.com/display_images/def_ip_image.png",
28    "steps": 10,
29    "guidance_scale": 3,
30    "width": 1024,
31    "height": 1024,
32    "seed": 4898558797,
33}
34job = client.submit_async("consistent-character-AI-neolemon-v3", **payload)
35print(job.request_id)                         # available immediately
36try:
37    result = job.wait(timeout=600, interval=1.0)
38except InferenceTimeout as e:
39    print("still running:", e.request_id)
40except InferenceFailed as e:
41    print("failed:", e.detail)