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Hunyuan3D V3 Image to 3D

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Transform your photos into ultra-high-resolution 3D models in seconds with Tencent's Hunyuan3D V3 Image to 3D. Film-quality geometry with PBR textures from single or multi-view images, ready for games, e-commerce, and 3D printing. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-3d
Input

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preview

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Whether to enable PBR material generation

Idle

$0.25per run·~40 / $10

ExamplesView all

Related Models

README

WaveSpeedAI Hunyuan3D v3 Image-to-3D

Hunyuan3D v3 Image-to-3D converts one (or several) reference images into a downloadable 3D asset—useful for product mockups, game props, e-commerce previews, and fast 3D prototyping.

You provide a primary image, optionally add side/back views for better reconstruction, and choose whether you want a fully textured model, a low-poly version, or geometry-only output.

Key capabilities

  • Single-image 3D reconstruction Generate a 3D model from one reference image via input_image_url.

  • Optional multi-view input for higher fidelity Add back_image_url, left_image_url, and/or right_image_url to help the model recover shape details and reduce ambiguity.

  • Multiple generation modes (textured / low-poly / geometry-only) Choose generate_type for a standard textured model, a low-poly reduction pass, or a “white model” without textures.

  • PBR material generation (when supported by mode) Enable PBR textures using enable_pbr (note: it does not apply when generate_type is Geometry).

  • Mesh complexity controls Target a face budget with face_count (range 40,000–1,500,000; default 500,000).

  • Low-poly topology options When using generate_type: "LowPoly", choose polygon_type (triangles or quads).

  • Export-ready outputs Returns a GLB plus model URLs for additional formats (availability may vary by deployment).

Parameters and how to use

Parameters

  • input_image_url: (required) URL of the main image used to generate the 3D model.
  • back_image_url: Optional back-view image URL for better reconstruction.
  • left_image_url: Optional left-view image URL for better reconstruction.
  • right_image_url: Optional right-view image URL for better reconstruction.
  • enable_pbr: Whether to enable PBR material generation (ignored when generate_type is Geometry).
  • face_count: Target face count (40,000–1,500,000; default 500,000).
  • generate_type: Generation mode (Normal, LowPoly, Geometry; default Normal).
  • polygon_type: Polygon type for low-poly output (triangle or quadrilateral; default triangle).

Prompt

This endpoint is image-driven (no prompt parameter). For best results, put the “instructions” into the image selection:

  • Use a clear, well-lit image with the subject centered.
  • Avoid heavy motion blur, extreme fisheye distortion, or cluttered backgrounds.
  • If the subject has thin parts (straps, antennae, wires), add side/back views to reduce missing geometry.

Media (Images)

  • Required: 1 image (input_image_url)
  • Optional: up to 3 additional views (back_image_url, left_image_url, right_image_url)
  • Common accepted formats in UI workflows: jpg, jpeg, png, webp, gif, avif

Practical tips:

  • Use consistent framing across views (similar distance and scale).
  • Keep the subject fully in frame—cropped objects tend to produce incomplete meshes.
  • If you only have one view, pick the angle that best shows the overall silhouette.

Other parameters

  • generate_type Choose what kind of 3D output you need:

  • Normal (default): Textured model

  • LowPoly: Polygon reduction workflow

  • Geometry: Geometry-only (no texture)

  • enable_pbr

  • true to request PBR materials

  • Note: ignored when generate_type is Geometry ([fal.ai][1])

  • face_count Controls mesh complexity. Higher values usually increase file size and can increase generation time.

  • Range: 40,000–1,500,000

  • Default: 500,000

  • polygon_type (only applies when generate_type is LowPoly)

  • triangle (default): best compatibility with real-time engines

  • quadrilateral: useful for some DCC workflows and retopo-friendly meshes

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

Pricing

Per-run pricing varies by generate_type and optional features. Example pricing below is based on published unit prices for this model family.

Typical settingsEstimated cost per run
generate_type: Normal (default settings)$0.375
generate_type: Normal + enable_pbr: true$0.525
generate_type: Normal + enable_pbr: true + multi-view images$0.675
generate_type: LowPoly (default polygon type)$0.45
generate_type: Geometry$0.225

Notes

  • If you’re seeing “melted” surfaces or missing parts, add at least one more view (left_image_url or back_image_url).
  • Use Geometry when you only need a fast shape/mesh and plan to texture elsewhere—PBR settings won’t apply in this mode.
  • Start with the default face_count, then increase only if you need extra silhouette detail (and can afford larger files).

Related Models

Accessibility:This website uses AI models provided by third parties.

Hunyuan3d v3 Image To 3d API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/hunyuan3d-v3/image-to-3d with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Hunyuan3d v3 Image To 3d below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hunyuan3d-v3/image-to-3d" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "image": "https://example.com/your-input.jpg",
    "enable_pbr": false,
    "polygon_type": "triangle",
    "face_count": 500000,
    "generate_type": "Normal"
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/hunyuan3d-v3/image-to-3d", {
        "image": "https://example.com/your-input.jpg",
        "enable_pbr": false,
        "polygon_type": "triangle",
        "face_count": 500000,
        "generate_type": "Normal"
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/hunyuan3d-v3/image-to-3d",
    {
    "image": "https://example.com/your-input.jpg",
    "enable_pbr": false,
    "polygon_type": "triangle",
    "face_count": 500000,
    "generate_type": "Normal"
}
)

print(output["outputs"][0])  # → URL of the generated output

Hunyuan3d v3 Image To 3d API — Frequently asked questions

What is the Hunyuan3d v3 Image To 3d API?

Hunyuan3d v3 Image To 3d is a WaveSpeedAI model for 3D asset generation from images, exposed as a REST API on WaveSpeedAI. Transform your photos into ultra-high-resolution 3D models in seconds with Tencent's Hunyuan3D V3 Image to 3D. Film-quality geometry with PBR textures from single or multi-view images, ready for games, e-commerce, and 3D printing. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Hunyuan3d v3 Image To 3d API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/hunyuan3d-v3-image-to-3d.

How much does Hunyuan3d v3 Image To 3d cost per run?

Hunyuan3d v3 Image To 3d starts at $0.25 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Hunyuan3d v3 Image To 3d accept?

Key inputs: `image`, `back_image`, `enable_pbr`, `face_count`, `generate_type`, `left_image`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/hunyuan3d-v3-image-to-3d.

How long does Hunyuan3d v3 Image To 3d take to generate?

Average end-to-end generation time on WaveSpeedAI is around 166 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Hunyuan3d v3 Image To 3d outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.