Segment Anything Model Serverless API
The Segment Anything Model (SAM) produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image.
POST /v2/sam-img2img · 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 "sam-img2img",
9 image="https://segmind.com/kitchen.jpg",
10)
11print(result["status"]) # COMPLETED
12print(result.get("output")) # model output (e.g. media URL)
13print(result["metrics"]["inference_time"]) # server compute seconds
14
15# --- Or submit + poll manually (track request_id, control the cadence) ---
16from segmind import SegmindClient, InferenceFailed, InferenceTimeout
17
18client = SegmindClient() # reads SEGMIND_API_KEY
19payload = {
20 "image": "https://segmind.com/kitchen.jpg",
21}
22job = client.submit_async("sam-img2img", **payload)
23print(job.request_id) # available immediately
24try:
25 result = job.wait(timeout=600, interval=1.0)
26except InferenceTimeout as e:
27 print("still running:", e.request_id)
28except InferenceFailed as e:
29 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 "sam-img2img",
9 image="https://segmind.com/kitchen.jpg",
10)
11print(result["status"]) # COMPLETED
12print(result.get("output")) # model output (e.g. media URL)
13print(result["metrics"]["inference_time"]) # server compute seconds
14
15# --- Or submit + poll manually (track request_id, control the cadence) ---
16from segmind import SegmindClient, InferenceFailed, InferenceTimeout
17
18client = SegmindClient() # reads SEGMIND_API_KEY
19payload = {
20 "image": "https://segmind.com/kitchen.jpg",
21}
22job = client.submit_async("sam-img2img", **payload)
23print(job.request_id) # available immediately
24try:
25 result = job.wait(timeout=600, interval=1.0)
26except InferenceTimeout as e:
27 print("still running:", e.request_id)
28except InferenceFailed as e:
29 print("failed:", e.detail)API Endpoint
https://api.segmind.com/v1/sam-img2imgParameters
imagerequiredstring (uri)Image to Segment
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/sam-img2imgSubmit — returns request_id, status_url, response_url
- 2
GET /v2/requests/{id}/statusPoll — until COMPLETED or FAILED
- 3
GET /v2/requests/{id}Result — final response body
Status states
- 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.
Bad Request
Invalid parameters or request format
Unauthorized
Missing or invalid API key
Forbidden
Insufficient permissions
Not Found
Model or endpoint not found
Insufficient Credits
Not enough credits to process request
Rate Limited
Too many requests
Server Error
Internal server error
Bad Gateway
Service temporarily unavailable
Timeout
Request timed out