Krea 3 Image Edit 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    "krea-3-image-edit",
 9    images=["https://segmind-resources.s3.amazonaws.com/input/krea-3-image-edit-input.jpg"],
10    prompt="Place the candle tin on a weathered zinc tabletop beside a folded charcoal wool throw and an open box of matches, with a limewashed plaster wall behind it. Keep the tin and its printed EMBER label exactly as they are.",
11    resolution="2k",
12    aspect_ratio="auto",
13    thinking_mode="fast",
14    regional_edit=False,
15)
16print(result["status"])                      # COMPLETED
17print(result.get("output"))                  # model output (e.g. media URL)
18print(result["metrics"]["inference_time"])   # server compute seconds
19
20# --- Or submit + poll manually (track request_id, control the cadence) ---
21from segmind import SegmindClient, InferenceFailed, InferenceTimeout
22
23client = SegmindClient()                      # reads SEGMIND_API_KEY
24payload = {
25    "images": ["https://segmind-resources.s3.amazonaws.com/input/krea-3-image-edit-input.jpg"],
26    "prompt": "Place the candle tin on a weathered zinc tabletop beside a folded charcoal wool throw and an open box of matches, with a limewashed plaster wall behind it. Keep the tin and its printed EMBER label exactly as they are.",
27    "resolution": "2k",
28    "aspect_ratio": "auto",
29    "thinking_mode": "fast",
30    "regional_edit": False,
31}
32job = client.submit_async("krea-3-image-edit", **payload)
33print(job.request_id)                         # available immediately
34try:
35    result = job.wait(timeout=600, interval=1.0)
36except InferenceTimeout as e:
37    print("still running:", e.request_id)
38except InferenceFailed as e:
39    print("failed:", e.detail)