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MODEL IDtencent:hunyuan-3d@3.1-pro
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Hunyuan 3D 3.1 Pro

Hunyuan 3D 3.1 Pro is a production-grade 3D generation model from Tencent that creates high-fidelity assets from text prompts or images. It uses enhanced 8-view reconstruction for improved spatial accuracy and reduced geometric artifacts, producing clean topology, watertight meshes, and PBR materials suitable for game development, 3D printing, and professional animation workflows.

Hunyuan 3D 3.1 Pro

API Options

Platform-level options for task execution and delivery.

taskType

stringrequiredvalue: 3dInference

Identifier for the type of task being performed.

taskUUID

stringrequiredUUID v4

UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.

outputType

stringdefault: URL

3D output type.

Allowed values1 value

outputFormat

stringdefault: GLB

Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.

  • `GLB`: Binary glTF format for 3D models, including geometry, textures, and PBR materials.
Allowed values1 value

webhookURL

stringuri

Webhook URL that receives JSON responses via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.

Learn more1 resource

deliveryMethod

stringdefault: async

Determines how the API delivers task results.

Allowed values2 values
Returns results directly in the API response. Over HTTP, a task still running after 120 seconds continues as an async task and comes back with status 'processing'. Poll for its results using getResponse.
Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Learn more1 resource

uploadEndpoint

stringuri

Specifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.

Common use cases:

  • Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
  • CDN integration: Upload to content delivery networks for immediate distribution.
// S3 presigned URL for secure upload
https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600

// Google Cloud Storage presigned URL
https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789

// Custom storage endpoint
https://storage.example.com/uploads/generated-image.jpg

The content data will be sent as the request body to the specified URL when generation is complete.

ttl

integermin: 60

Time-to-live (TTL) in seconds for generated content. Only applies when outputType is URL.

includeCost

boolean

Include task cost in the response.

numberResults

integermin: 1max: 4default: 1

Number of results to generate. Each result uses a different seed, producing variations of the same parameters.

routing

object

Model router options. Only read when model is auto, and never sent to the model.

Properties3 properties
routing » preferences

preferences

object

Relative importance of each dimension when models are compared. Weights, not thresholds.

Properties3 properties
routing » preferences » quality
quality
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » preferences » speed
speed
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » preferences » cost
cost
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » maxPrice

maxPrice

floatmin: 0

Upper bound on what this request may cost, in USD. A model whose cost cannot be bounded is not chosen.

routing » requirements

requirements

stringmax: 3000

Conditions the result has to meet, in plain words, such as a style or a feature. A model that cannot meet them is not chosen. Output size is set with width and height rather than described here.

Inputs

Input resources for the task (images, audio, etc). These must be nested inside the inputs object.

inputs » images

images

array of stringsmin items: 1max items: 8

Input images (UUID, URL, Data URI, or Base64). Single frontal image, or 8 images for multi-view (1 frontal + 7 angles: left, right, back, top, bottom, left_front, right_front).

Core Parameters

Primary parameters that define the task output.

model

stringrequiredvalue: tencent:hunyuan-3d@3.1-pro

Send auto instead of an AIR identifier to have the model router choose the model for this task. The rest of the request is unchanged, every value you send is kept, and only the parameters you leave out are filled in. See Model Router.

Learn more3 resources

positivePrompt

stringmin: 2max: 1024

Text prompt describing elements to include in the generated output.

Learn more1 resource

Settings

Technical parameters to fine-tune the inference process. These must be nested inside the settings object.

settings » faceCount

faceCount

integermin: 3000max: 1500000default: 500000

Number of faces (polygons) in the generated 3D model.

settings » generateType

generateType

stringdefault: Normal

Generation mode for 3D model creation.

Allowed values2 values
Generates a textured geometry model.
Generates a texture-free white model.
settings » pbr

pbr

boolean

Enable PBR (Physically Based Rendering) material generation.

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