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Hunyuan3d V3 Text To 3d

Hunyuan3d V3 Text To 3d

Playground

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Turn text prompts into detailed, fully-textured 3D models with Tencent’s Hunyuan3D V3. Generate high-quality 3D assets with PBR materials from simple descriptions, ready for Unity, Unreal, and Blender. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

WaveSpeedAI Hunyuan3D v3 Text-to-3D

Hunyuan3D v3 Text-to-3D is a 3D asset generation wrapper that turns a short text description into a downloadable 3D model you can use in DCC tools (Blender/Maya), game engines, or product visualization pipelines. It’s designed for fast iteration: describe an object, pick a generation mode (textured vs. geometry-only vs. low-poly), and generate a mesh with an optional texture/material setup.

This task is best for single-object assets (props, furniture, simple characters) where you want a usable starting point and can refine topology/materials afterward.


Key capabilities

  • Text-to-3D generation with multiple output styles Choose between textured meshes, geometry-only (white model), or low-poly variants depending on your target workflow.

  • Low-poly generation with topology control In low-poly mode, you can control polygon style (triangle vs. mixed quad/tri) for game-ready or edit-friendly meshes.

  • Optional PBR material generation Enable PBR materials for more realistic shading (e.g., metal/roughness/normal-style textures), when supported by the selected generation type.

  • Face-count targeting for mesh density Generate higher-detail or lighter meshes by specifying a target face count within the supported range.

  • Standardized 3D file outputs with preview Results typically include a downloadable 3D file (e.g., OBJ/GLB) plus a preview image URL for quick inspection.


Parameters and how to use

  • prompt: (required) Text describing the 3D asset you want.
  • generate_type: Generation mode. Typical values include Normal, LowPoly and Geometry.
  • enable_pbr: Whether to generate PBR materials (when supported by the selected mode).
  • face_count: Target face count for the generated mesh (within the supported range).
  • polygon_type: Polygon style for LowPoly generation (triangle or quadrilateral).
  • image_url: Optional image URL (primarily used for Sketch mode).
  • image_base64: Optional base64-encoded image (primarily used for Sketch mode).

Prompt

Write prompts like you’re briefing a 3D artist:

  • Start with the object and its category: “a modern desk lamp”, “a sci-fi handheld scanner”.
  • Add shape cues: silhouette, proportions, key parts (“cylindrical base, articulated arm, conical shade”).
  • Add material and finish: plastic/metal/wood, matte/glossy, worn/new.
  • Avoid clutter: one object per run whenever possible.
  • If you need low-poly: say so in the prompt and set generate_type=LowPoly (prompt alone is not reliable).

Example prompt:

“A compact camping lantern, cylindrical body with a handle loop on top, translucent plastic cover, brushed metal base, realistic product photo style.”

Media (Images)

Only include images if you are using a mode that accepts them (for example, generate_type=Sketch).

Supported formats & limits (typical):

  • Formats: JPG, PNG
  • File size: ≤ 8 MB (after encoding)
  • Resolution: shortest side ≥ 128 px, longest side ≤ 5000 px

Other parameters

  • generate_type Pick the output style:

    • Normal – textured 3D model (default in many setups)
    • LowPoly – polygon-reduced textured model
    • Geometry – geometry-only (no textures / white model)
  • enable_pbr

    • true – generate PBR materials when supported
    • false – standard materials/textures Note: In geometry-only modes, PBR may not apply. {/* :contentReference[oaicite:7]{index=7} */}
  • face_count

    • Default is commonly 500,000
    • Supported range is typically 40,000–1,500,000 Use smaller values for faster iteration and larger values for more surface detail.
  • polygon_type (only when generate_type=LowPoly)

    • triangle (default) – triangle faces
    • quadrilateral – mixed quad/tri faces (often easier to edit)

After you finish configuring the parameters, click Run, preview the result, and iterate if needed.


Pricing

Pricing is parameter-related: the per-run cost typically changes with generate_type and any add-on options (such as enable_pbr and face_count).

The table below shows estimated per-run costs using published point/credit pricing and a representative USD/CNY conversion for December 2025.

Typical setupEstimated cost per run
generate_type=Geometry$0.25
generate_type=Normal$0.375
generate_type=LowPoly$0.45

Notes

  • Treat face count as “target,” not a guarantee. If you need strict budgets (e.g., mobile game assets), plan to retopologize or decimate after generation.
  • Use Geometry for downstream texturing workflows. If you plan to texture in Substance or do custom UV work, starting with a clean geometry-only mesh can be easier.
  • Start simple, then add detail. A clear base prompt usually produces better structure than a long, highly stylized prompt.

  • Tencent Hunyuan3D v2.1 – A strong earlier Hunyuan3D generation option when you want a proven baseline model.
  • Hunyuan3D v2 Base – A practical, lower-cost option for image-to-3D style workflows and quick iterations.
  • Hunyuan3D v2 Mini – Faster/leaner variant for previews and early-stage ideation.
  • Hunyuan3D v2 Multi-View – Best when you have multiple reference images and want higher geometric fidelity from views.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hunyuan3d-v3/text-to-3d" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "enable_pbr": false,
    "polygon_type": "triangle",
    "face_count": 500000,
    "generate_type": "Normal"
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-Text description of the 3D content to generate. Supports up to 1024 UTF-8 characters.
enable_pbrbooleanNofalse-Whether to enable PBR material generation
polygon_typestringNotriangletriangle, quadrilateralPolygon type. Only takes effect when GenerateType is LowPoly.
face_countintegerNo50000040000 ~ 1500000Target face count. Range: 40000-1500000
generate_typestringNoNormalNormal, LowPoly, GeometryGeneration type. Normal: textured model. LowPoly: polygon reduction. Geometry: white model without texture.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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