Kling V3 Image 2 Image 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    "kling-3-image2image",
 9    prompt="Transform this Japanese garden into a magical winter wonderland. Snow covering the cherry blossom branches with delicate white blooms still visible beneath, frozen koi pond with crystalline ice patterns, stone lanterns dusted with snow, soft blue twilight lighting, aurora borealis faintly visible in the sky, mystical and ethereal atmosphere, photorealistic, 8K, cinematic",
10    image_url="https://segmind-resources.s3.amazonaws.com/input/kling3-i2i-input.webp",
11    resolution="1K",
12    aspect_ratio="16:9",
13    output_format="png",
14)
15print(result["status"])                      # COMPLETED
16print(result.get("output"))                  # model output (e.g. media URL)
17print(result["metrics"]["inference_time"])   # server compute seconds
18
19# --- Or submit + poll manually (track request_id, control the cadence) ---
20from segmind import SegmindClient, InferenceFailed, InferenceTimeout
21
22client = SegmindClient()                      # reads SEGMIND_API_KEY
23payload = {
24    "prompt": "Transform this Japanese garden into a magical winter wonderland. Snow covering the cherry blossom branches with delicate white blooms still visible beneath, frozen koi pond with crystalline ice patterns, stone lanterns dusted with snow, soft blue twilight lighting, aurora borealis faintly visible in the sky, mystical and ethereal atmosphere, photorealistic, 8K, cinematic",
25    "image_url": "https://segmind-resources.s3.amazonaws.com/input/kling3-i2i-input.webp",
26    "resolution": "1K",
27    "aspect_ratio": "16:9",
28    "output_format": "png",
29}
30job = client.submit_async("kling-3-image2image", **payload)
31print(job.request_id)                         # available immediately
32try:
33    result = job.wait(timeout=600, interval=1.0)
34except InferenceTimeout as e:
35    print("still running:", e.request_id)
36except InferenceFailed as e:
37    print("failed:", e.detail)