Hunyuan 3d V3.1 Image To 3d Rapid
Playground
Try it on WavespeedAI!Hunyuan 3D V3.1 Rapid is a fast image-to-3D generation model, quickly converting 2D images into 3D models. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Hunyuan 3D V3.1 Image-to-3D Rapid
Hunyuan 3D V3.1 Rapid is Tencent’s fast 3D generation model that converts a single image into a high-quality 3D model. Simply upload an image of any object — the model generates a complete 3D mesh with textures in seconds. Perfect for rapid prototyping, game assets, e-commerce visualization, and 3D content creation.
Why Choose This?
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Single image input Generate complete 3D models from just one image — no multi-view captures required.
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Rapid generation Fast processing delivers 3D assets quickly for rapid iteration and prototyping.
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High-quality output Produces detailed 3D meshes with accurate geometry and textures.
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Simple workflow One-click generation — upload an image and get a 3D model instantly.
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Ultra-affordable Just $0.0225 per generation — cost-effective for high-volume workflows.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Source image of the object (URL or upload) |
How to Use
- Upload your image — provide a clear image of the object you want to convert to 3D.
- Run — submit and download your 3D model.
Pricing
| Output | Cost |
|---|---|
| Per 3D model | $0.0225 |
Billing Rules
- Flat rate: $0.0225 per generation
- No additional charges for mesh complexity or texture quality
Best Use Cases
- Game Development — Quickly generate 3D assets from concept art or reference images.
- E-commerce — Create 3D product models for interactive shopping experiences.
- Prototyping — Rapidly visualize objects in 3D before committing to full production.
- AR/VR Content — Generate 3D assets for augmented and virtual reality applications.
- 3D Printing — Convert product images into printable 3D models.
Pro Tips
- Use images with clear, uncluttered backgrounds for best results.
- Objects photographed from a 3/4 angle typically produce better 3D geometry.
- Ensure good lighting with minimal shadows on the object.
- Higher resolution images capture more surface detail in the 3D output.
- For complex objects, use images that clearly show the object’s shape and structure.
Notes
- Image is the only required field.
- Output format is a 3D mesh with textures.
- Ensure uploaded image URLs are publicly accessible.
Related Models
- Hunyuan 3D V3.1 Text-to-3D — Generate 3D models from text descriptions.
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/hunyuan-3d-v3.1/image-to-3d-rapid" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | Front view image of the object to convert into a 3D model (128-5000px, max 8MB, JPG/PNG/WEBP) |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |