Hunyuan 3d V3.1 Text To 3d Rapid
Playground
Try it on WavespeedAI!Hunyuan 3D V3.1 Rapid is a fast text-to-3D generation model that quickly creates 3D models from text descriptions. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Hunyuan 3D V3.1 Text-to-3D Rapid
Hunyuan 3D V3.1 Rapid is Tencent’s fast text-to-3D generation model that creates high-quality 3D models from text descriptions. Simply describe 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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Text-driven generation Create complete 3D models from natural language descriptions — no images or 3D expertise 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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Prompt Enhancer Built-in tool to automatically improve your descriptions for better 3D results.
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Ultra-affordable Just $0.0225 per generation — cost-effective for high-volume workflows.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the 3D object to generate |
How to Use
- Write your prompt — describe the object you want to create (shape, style, details, pose).
- Use Prompt Enhancer (optional) — refine your description for better results.
- 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 descriptions.
- Prototyping — Rapidly visualize object ideas in 3D before production.
- E-commerce — Create 3D product models for interactive experiences.
- AR/VR Content — Generate 3D assets for augmented and virtual reality applications.
- 3D Printing — Generate printable 3D models from text descriptions.
- Creative Exploration — Experiment with 3D concepts without modeling skills.
Pro Tips
- Be specific about shape, style, pose, and details in your prompt.
- Include style keywords like “cartoon style”, “realistic”, “low poly”, or “high detail”.
- Describe the pose or orientation for character models (e.g., “standing pose”, “T-pose”).
- Use the Prompt Enhancer to automatically refine vague descriptions.
- Start with simple objects and iterate to more complex designs.
Notes
- Prompt is the only required field.
- Output format is a 3D mesh with textures.
- More detailed prompts generally produce better results.
Related Models
- Hunyuan 3D V3.1 Image-to-3D Rapid — Generate 3D models from images.
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/text-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 |
|---|---|---|---|---|---|
| prompt | string | Yes | - | Text description of the 3D content to generate (max 200 UTF-8 characters) |
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 |