Qwen Image Edit Plus 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    "qwen-image-edit-plus",
 9    image="https://segmind-resources.s3.amazonaws.com/input/c9e0ba47-d061-44fd-91e0-c9c55eed07fb-img2-qime.jpg",
10    image_2="https://segmind-resources.s3.amazonaws.com/input/5bacb90c-f157-4dec-9ea8-7a02052206a0-image1-ip.png",
11    image_3=None,
12    prompt="The woman from image 2 is sitting on the sofa, smiling and waving, in the scene from image 1",
13    aspect_ratio="match_input_image",
14    go_fast=True,
15    seed=760941192,
16    image_format="webp",
17    quality=90,
18    base64=False,
19)
20print(result["status"])                      # COMPLETED
21print(result.get("output"))                  # model output (e.g. media URL)
22print(result["metrics"]["inference_time"])   # server compute seconds
23
24# --- Or submit + poll manually (track request_id, control the cadence) ---
25from segmind import SegmindClient, InferenceFailed, InferenceTimeout
26
27client = SegmindClient()                      # reads SEGMIND_API_KEY
28payload = {
29    "image": "https://segmind-resources.s3.amazonaws.com/input/c9e0ba47-d061-44fd-91e0-c9c55eed07fb-img2-qime.jpg",
30    "image_2": "https://segmind-resources.s3.amazonaws.com/input/5bacb90c-f157-4dec-9ea8-7a02052206a0-image1-ip.png",
31    "image_3": None,
32    "prompt": "The woman from image 2 is sitting on the sofa, smiling and waving, in the scene from image 1",
33    "aspect_ratio": "match_input_image",
34    "go_fast": True,
35    "seed": 760941192,
36    "image_format": "webp",
37    "quality": 90,
38    "base64": False,
39}
40job = client.submit_async("qwen-image-edit-plus", **payload)
41print(job.request_id)                         # available immediately
42try:
43    result = job.wait(timeout=600, interval=1.0)
44except InferenceTimeout as e:
45    print("still running:", e.request_id)
46except InferenceFailed as e:
47    print("failed:", e.detail)