Hunyuan Video Serverless API
Hunyuan AI Video is a new, state of the art, AI Video Generator that creates high-quality videos from text descriptions. With 13B parameters and state-of-the-art performance, it's the most powerful open-source video generation model available.
POST /v2/hunyuan-video · 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 "seed": 96501778,
11 "width": 854,
12 "height": 480,
13 "prompt": "A cat walks on the grass, realistic style.",
14 "flow_shift": 7,
15 "infer_steps": 40,
16 "video_length": 77,
17 "negative_prompt": "Aerial view, overexposed, low quality, deformation",
18 "embedded_guidance_scale": 6,
19}
20job = client.submit_async("hunyuan-video", **payload)
21print(job.request_id) # available immediately
22try:
23 result = job.wait(timeout=900, interval=2.0)
24 print(result["status"]) # COMPLETED
25 print(result.get("output")) # model output (e.g. video URL)
26except InferenceTimeout as e:
27 print("still running:", e.request_id) # re-poll later with this id
28except InferenceFailed as e:
29 print("failed:", e.detail)
30
31# Fast models (<=600s) can use the one-liner instead:
32# result = segmind.run("hunyuan-video", **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 "seed": 96501778,
11 "width": 854,
12 "height": 480,
13 "prompt": "A cat walks on the grass, realistic style.",
14 "flow_shift": 7,
15 "infer_steps": 40,
16 "video_length": 77,
17 "negative_prompt": "Aerial view, overexposed, low quality, deformation",
18 "embedded_guidance_scale": 6,
19}
20job = client.submit_async("hunyuan-video", **payload)
21print(job.request_id) # available immediately
22try:
23 result = job.wait(timeout=900, interval=2.0)
24 print(result["status"]) # COMPLETED
25 print(result.get("output")) # model output (e.g. video URL)
26except InferenceTimeout as e:
27 print("still running:", e.request_id) # re-poll later with this id
28except InferenceFailed as e:
29 print("failed:", e.detail)
30
31# Fast models (<=600s) can use the one-liner instead:
32# result = segmind.run("hunyuan-video", **payload)API Endpoint
https://api.segmind.com/v1/hunyuan-videoParameters
promptrequiredstringText prompt to generate video.
"A cat walks on the grass, realistic style."embedded_guidance_scaleoptionalintegerEmbedded guidance scale for generation.
6Range: 1 - 10flow_shiftoptionalnumberFlow-shift parameter.
7Range: 1 - 15heightoptionalintegerHeight of the video in pixels.
480Range: 1 - 1280infer_stepsoptionalintegerNumber of inference steps.
40Range: 1 - 70negative_promptoptionalstringText prompt to specify what you don't want in the video.
"Aerial view, overexposed, low quality, deformation"seedoptionalintegerRandom seed for reproducibility.
96501778video_lengthoptionalintegerLength of the video in frames.
77Range: 1 - 129widthoptionalintegerWidth of the video in pixels.
854Range: 1 - 1280Response 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/hunyuan-videoSubmit — 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