Seedream 4.0 (4k) 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    "seedream-4",
 9    size="2K",
10    width=2048,
11    height=2048,
12    prompt="Action hero into an apocalypse survivor zombie hunter, torn leather jacket with spikes, glowing red cybernetic eye, dual chainsaw weapons, burning city ruins background, blood splatter effects, horror movie aesthetic, badass energy, ultra-detailed gore",
13    max_images=1,
14    image_input=["https://segmind-resources.s3.amazonaws.com/input/ee043397-b857-4bf2-9ad0-70258a286e96-504cf296-f8c3-40af-b200-9b52bdae240c.png"],
15    sequential_image_generation="disabled",
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    "size": "2K",
27    "width": 2048,
28    "height": 2048,
29    "prompt": "Action hero into an apocalypse survivor zombie hunter, torn leather jacket with spikes, glowing red cybernetic eye, dual chainsaw weapons, burning city ruins background, blood splatter effects, horror movie aesthetic, badass energy, ultra-detailed gore",
30    "max_images": 1,
31    "image_input": ["https://segmind-resources.s3.amazonaws.com/input/ee043397-b857-4bf2-9ad0-70258a286e96-504cf296-f8c3-40af-b200-9b52bdae240c.png"],
32    "sequential_image_generation": "disabled",
33}
34job = client.submit_async("seedream-4", **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)