Hunyuan-3d 2mv Serverless API

Hunyuan3D-2mv is finetuned from Hunyuan3D-2 to support multiview controlled shape generation.

~92.47s
PlaygroundAPI
Pricing
POST /v2/hunyuan3d-2mv · 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    "hunyuan3d-2mv",
 9    seed=1234,
10    steps=30,
11    file_type="glb",
12    back_image="https://segmind-resources.s3.amazonaws.com/input/c2aaa604-ff80-4daa-8e17-19523116277b-df54088d-8eea-441d-8f74-8e38b17fd120.png",
13    left_image="https://segmind-resources.s3.amazonaws.com/input/67a34835-feea-49b9-8aac-c6f7866c5812-c43ad400-6084-482b-9134-d0969e4b332c.png",
14    num_chunks=200000,
15    front_image="https://segmind-resources.s3.amazonaws.com/input/54d29fd1-a48f-4935-bc7f-5446420e1436-a08f2dbd-00e5-4bcb-a6f0-ea11f31aa82f-0471efb6-5439-40e8-9031-5374b7f50691.png",
16    right_image="https://segmind-resources.s3.amazonaws.com/input/10f44971-5c5c-44c2-8b6c-6baa7a98e76c-380c79fa-3dd9-4b0c-ba05-485e8894b019.png",
17    guidance_scale=5,
18    randomize_seed=True,
19    target_face_num=10000,
20    octree_resolution=256,
21    remove_background=True,
22)
23print(result["status"])                      # COMPLETED
24print(result.get("output"))                  # model output (e.g. media URL)
25print(result["metrics"]["inference_time"])   # server compute seconds
26
27# --- Or submit + poll manually (track request_id, control the cadence) ---
28from segmind import SegmindClient, InferenceFailed, InferenceTimeout
29
30client = SegmindClient()                      # reads SEGMIND_API_KEY
31payload = {
32    "seed": 1234,
33    "steps": 30,
34    "file_type": "glb",
35    "back_image": "https://segmind-resources.s3.amazonaws.com/input/c2aaa604-ff80-4daa-8e17-19523116277b-df54088d-8eea-441d-8f74-8e38b17fd120.png",
36    "left_image": "https://segmind-resources.s3.amazonaws.com/input/67a34835-feea-49b9-8aac-c6f7866c5812-c43ad400-6084-482b-9134-d0969e4b332c.png",
37    "num_chunks": 200000,
38    "front_image": "https://segmind-resources.s3.amazonaws.com/input/54d29fd1-a48f-4935-bc7f-5446420e1436-a08f2dbd-00e5-4bcb-a6f0-ea11f31aa82f-0471efb6-5439-40e8-9031-5374b7f50691.png",
39    "right_image": "https://segmind-resources.s3.amazonaws.com/input/10f44971-5c5c-44c2-8b6c-6baa7a98e76c-380c79fa-3dd9-4b0c-ba05-485e8894b019.png",
40    "guidance_scale": 5,
41    "randomize_seed": True,
42    "target_face_num": 10000,
43    "octree_resolution": 256,
44    "remove_background": True,
45}
46job = client.submit_async("hunyuan3d-2mv", **payload)
47print(job.request_id)                         # available immediately
48try:
49    result = job.wait(timeout=600, interval=1.0)
50except InferenceTimeout as e:
51    print("still running:", e.request_id)
52except InferenceFailed as e:
53    print("failed:", e.detail)

API Endpoint

POSThttps://api.segmind.com/v1/hunyuan3d-2mv

Parameters

front_imagerequired
string (uri)

Front view image

back_imageoptional
string (uri)

Back view image

Default: null
file_typeoptional
string

An enumeration.

Default: "glb"
Allowed values :
"glb""obj""ply""stl"
guidance_scaleoptional
number

Guidance scale

Default: 5
left_imageoptional
string (uri)

Left view image

Default: null
num_chunksoptional
integer

Number of chunks

Default: 200000Range: 1000 - 5000000
octree_resolutionoptional
integer

Octree resolution

Default: 256Range: 16 - 512
randomize_seedoptional
boolean

Randomize seed

Default: false
remove_backgroundoptional
boolean

Remove image background

Default: true
right_imageoptional
string (uri)

Right view image

Default: null
seedoptional
integer

Seed value

Default: -1
stepsoptional
integer

Number of inference steps

Default: 30Range: 1 - 100
target_face_numoptional
integer

Target number of faces for mesh simplification

Default: 10000Range: 100 - 1000000

Response Type

Returns: 3D Model

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/hunyuan3d-2mv

    Submit — returns request_id, status_url, response_url

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

    Poll — until COMPLETED or FAILED

  3. 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