Multi Image Kontext Pro Serverless API

Transform text into stunning, professional-grade images with precise editing capabilities.

~23.32s

POST /v2/multi-image-kontext-pro · submit + poll

 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    "multi-image-kontext-pro",
 9    prompt="A woman is taking a selfie with the man in front of the Taj Mahal.",
10    aspect_ratio="1:1",
11    input_image_1="https://segmind-resources.s3.amazonaws.com/output/80b5e919-9150-43eb-a07c-b56f73ea3dcb-image_31.png",
12    input_image_2="https://segmind-resources.s3.amazonaws.com/output/9c4b025f-dad6-4dae-88ab-d01765f0c2b8-man2.png",
13    output_format="png",
14    safety_tolerance=2,
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    "prompt": "A woman is taking a selfie with the man in front of the Taj Mahal.",
26    "aspect_ratio": "1:1",
27    "input_image_1": "https://segmind-resources.s3.amazonaws.com/output/80b5e919-9150-43eb-a07c-b56f73ea3dcb-image_31.png",
28    "input_image_2": "https://segmind-resources.s3.amazonaws.com/output/9c4b025f-dad6-4dae-88ab-d01765f0c2b8-man2.png",
29    "output_format": "png",
30    "safety_tolerance": 2,
31}
32job = client.submit_async("multi-image-kontext-pro", **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)

 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    "multi-image-kontext-pro",
 9    prompt="A woman is taking a selfie with the man in front of the Taj Mahal.",
10    aspect_ratio="1:1",
11    input_image_1="https://segmind-resources.s3.amazonaws.com/output/80b5e919-9150-43eb-a07c-b56f73ea3dcb-image_31.png",
12    input_image_2="https://segmind-resources.s3.amazonaws.com/output/9c4b025f-dad6-4dae-88ab-d01765f0c2b8-man2.png",
13    output_format="png",
14    safety_tolerance=2,
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    "prompt": "A woman is taking a selfie with the man in front of the Taj Mahal.",
26    "aspect_ratio": "1:1",
27    "input_image_1": "https://segmind-resources.s3.amazonaws.com/output/80b5e919-9150-43eb-a07c-b56f73ea3dcb-image_31.png",
28    "input_image_2": "https://segmind-resources.s3.amazonaws.com/output/9c4b025f-dad6-4dae-88ab-d01765f0c2b8-man2.png",
29    "output_format": "png",
30    "safety_tolerance": 2,
31}
32job = client.submit_async("multi-image-kontext-pro", **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)

API Endpoint

POSThttps://api.segmind.com/v1/multi-image-kontext-pro

Parameters

input_image_1required

string (uri)

Provide the first image URL.

input_image_2required

string (uri)

Provide the second image URL.

Default: "https://segmind-resources.s3.amazonaws.com/output/9c4b025f-dad6-4dae-88ab-d01765f0c2b8-man2.png"

promptrequired

string

Describe how to transform images.

Default: "A woman is taking a selfie with the man in front of the Taj Mahal."

aspect_ratiooptional

string

Choose the output aspect ratio. '16:9' for widescreen or '1:1' for square images.

Default: "match_input_image"

Allowed values (14 total):

"match_input_image""1:1""16:9""9:16""4:3""3:4""3:2""2:3""4:5""5:4"+4 more

output_formatoptional

string

Select the output file format. Use 'png' for high quality or 'jpg' for smaller file size.

Default: "png"

Allowed values :

"jpg""png"

safety_toleranceoptional

integer

Adjust safety levels: '0' for strict filtering, '2' for more lenient results.

Default: 2Range: 0 - 2

seedoptional

integer

Set a random seed for reproducibility. leave blank for random outcomes.

Default: null

Response Type

Returns: Image

Asynchronous requests (v2)

Use Async for video, long-running (>~60s), or high-concurrency workloads; Sync is simplest for fast image & LLM calls. Async submits a request and you poll it to completion.

1
POST /v2/multi-image-kontext-pro
Submit — returns request_id, status_url, response_url
2
GET /v2/requests/{id}/status
Poll — until COMPLETED or FAILED
3
GET /v2/requests/{id}
Result — final response body

Status states

QUEUED— Accepted, waiting for a worker

PROCESSING— Running on a worker

COMPLETED— Done — result body is ready

FAILED— Errored (incl. content/RAI blocks)

A FAILED request is served as HTTP 422 — the body still carries the error detail.
An unknown or expired request_id returns HTTP 404.
Results are retained for 1 hour, then expire.
Content / RAI blocks surface as FAILED, not a separate state.
Track completion by polling the status endpoint.

Common Error Codes

The API returns standard HTTP status codes. Detailed error messages are provided in the response body.

400

Bad Request

Invalid parameters or request format

401

Unauthorized

Missing or invalid API key

403

Forbidden

Insufficient permissions

404

Not Found

Model or endpoint not found

406

Insufficient Credits

Not enough credits to process request

429

Rate Limited

Too many requests

500

Server Error

Internal server error

502

Bad Gateway

Service temporarily unavailable

504

Timeout

Request timed out