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.
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) 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
https://api.segmind.com/v1/minimax-aiParameters
promptrequiredstringText prompt for video generation
first_frame_imageoptionalstring (uri)First frame image for video generation
nullprompt_optimizeroptionalbooleanUse prompt optimizer
truesubject_referenceoptionalstring (uri)An optional character reference image to use as the subject in the generated video
""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
POST /v2/minimax-aiSubmit — 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