MiniMax AI (Hailuo) Serverless API

With Video-01 by MiniMax, create high-definition videos at 720p resolution and 25fps, featuring cinematic camera movement effects based on text descriptions.

~177.54s
POST /v2/minimax-ai · submit + poll
 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
 4
 5# Async (v2) — recommended for long-running / video models.
 6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
 7# deadline and keeps the request_id so you can re-poll later.
 8client = SegmindClient()                      # reads SEGMIND_API_KEY
 9payload = {
10    "prompt": "A woman with long brown hair and light skin smiles at another woman with long blonde hair. The woman with brown hair wears a black jacket and has a small, barely noticeable mole on her right cheek. The camera angle is a close-up, focused on the woman with brown hair's face. The lighting is warm and natural, likely from the setting sun, casting a soft glow on the scene. The scene appears to be real-life footage.",
11    "prompt_optimizer": True,
12}
13job = client.submit_async("minimax-ai", **payload)
14print(job.request_id)                         # available immediately
15try:
16    result = job.wait(timeout=900, interval=2.0)
17    print(result["status"])                  # COMPLETED
18    print(result.get("output"))              # model output (e.g. video URL)
19except InferenceTimeout as e:
20    print("still running:", e.request_id)    # re-poll later with this id
21except InferenceFailed as e:
22    print("failed:", e.detail)
23
24# Fast models (<=600s) can use the one-liner instead:
25# result = segmind.run("minimax-ai", **payload)

API Endpoint

POSThttps://api.segmind.com/v1/minimax-ai

Parameters

promptrequired
string

Text prompt for video generation

first_frame_imageoptional
string (uri)

First frame image for video generation

Default: null
prompt_optimizeroptional
boolean

Use prompt optimizer

Default: true
subject_referenceoptional
string (uri)

An optional character reference image to use as the subject in the generated video

Default: ""

Response Type

Returns: Video

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. 1
    POST /v2/minimax-ai

    Submitreturns request_id, status_url, response_url

  2. 2
    GET /v2/requests/{id}/status

    Polluntil COMPLETED or FAILED

  3. 3
    GET /v2/requests/{id}

    Resultfinal response body

Status states

QUEUEDAccepted, waiting for a worker
PROCESSINGRunning on a worker
COMPLETEDDone — result body is ready
FAILEDErrored (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