tencent/hunyuan3d/v2/turbo
Hunyuan3d V2 Turbo by Tencent - convert 2D images into 3D models with AI. Generate textured 3D assets from single photos for games, AR/VR, e-commerce, and digital content creation.
PNG, JPEG, WebP, or GIF · 20 MiB maximum
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runtencent/hunyuan3d/v2/turboInput Schema
6 parameters · 1 required · 5 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | URL of image to use while generating the 3D model. |
seed | integer | Optional | The same seed and the same prompt given to the same version of the model will output the same image every time. |
textured_mesh | boolean | Optional | If set true, textured mesh will be generated and the price charged would be 3 times that of white mesh. · Default: false |
guidance_scale | number | Optional | Min: 0 · Max: 20 · Default: 7.5 |
octree_resolution | integer | Optional | Octree resolution for the model. · Min: 1 · Max: 1024 · Default: 256 |
num_inference_steps | integer | Optional | Min: 1 · Max: 50 · Default: 50 |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "tencent/hunyuan3d/v2/turbo",
"image": "https://static.sandbase.ai/examples/tencent/hunyuan3d/v2/turbo/input_image_0.png",
"textured_mesh": false,
"guidance_scale": 7.5,
"octree_resolution": 256,
"num_inference_steps": 50,
"prompt": "a beautiful sunset over mountains"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Hunyuan3D
Hunyuan3d V2 Turbo by Tencent - convert 2D images into 3D models with AI. Generate textured 3D assets from single photos for games, AR/VR, e-commerce, and digital content creation. Hunyuan3D is designed around the tencent/hunyuan3d/v2/turbo workflow for turbo work in image production. Because tencent/hunyuan3d/v2/turbo is a separate catalog entry, evaluations should use this route’s own inputs, output expectations, and billing behavior. Teams can place this named operation inside review, asset preparation, and publishing pipelines while keeping the original request attached to every result. The endpoint is especially useful when a project has a defined transformation goal and needs a repeatable request contract instead of an ad-hoc desktop step. This capability boundary is specific to the endpoint named above.
seed controls the same seed and the same prompt given to the same version of the model will output the same image every time; image controls uRL of image to use while generating the 3D model; textured mesh controls if set true, textured mesh will be generated and the price charged would be 3 times that of white mesh; octree resolution controls octree resolution for the model. The mandatory portion is image. Hunyuan3D exposes seed, image, textured_mesh, guidance_scale, octree_resolution, num_inference_steps as its documented request surface. For example, the route documentation includes “https://static.sandbase.ai/examples/tencent/hunyuan3d/v2/turbo/input_image_0.png”. Applications can submit that exact shape asynchronously, retain the chosen arguments in job metadata, and collect the resulting media URL for review or publishing.
Highlights
- Structured 3D creation. Hunyuan3D converts the route’s text or visual references into a spatial asset rather than a flat rendered image.
- Geometry reconstruction. The model reasons about visible form and unseen surfaces to produce a coherent object that can be inspected from multiple viewpoints.
- Appearance-aware output. Surface color and material cues are carried into the result so the asset retains the visual character of its source or brief.
- Downstream 3D utility. Generated assets provide a starting point for visualization, concept development, interactive scenes, and further mesh refinement.
Pricing
| Billing option | Price |
|---|---|
| Per request | $0.140000 |
When to Use
| Scenario | Why it fits |
|---|---|
| Choose Hunyuan3D | Use it when the job specifically calls for turbo and the route’s documented input contract matches assets already available in your workflow. |
| Keep the request reproducible | Use the required image explicitly, then record optional choices alongside the prompt for repeatable reruns. |
| Build controlled creative variations | Change one declared control at a time when comparing framing, format, duration, resolution, style, or other route-supported output decisions. |
| Integrate asynchronous delivery | Use this endpoint when an application can submit work, track completion, and collect the returned media URL instead of requiring an immediate inline artifact. |
| Validate before a large batch | Run representative prompts and source assets first, confirm the visual or audio behavior, then lock the successful request shape for scaled production. |
Prompt Guide
Lead with the subject or transformation, then add the composition, environment, style, lighting, motion, voice, or fidelity details relevant to this route. Keep every parameter inside the documented schema; the example below uses only fields declared for tencent/hunyuan3d/v2/turbo.
{
"image": "https://static.sandbase.ai/examples/tencent/hunyuan3d/v2/turbo/input_image_0.png"
}
Technical Specs
| Specification | Details |
|---|---|
| Model ID | tencent/hunyuan3d/v2/turbo |
| Execution mode | async |
| Task type | image |
seed | integer · optional |
image | string · required |
textured_mesh | boolean · optional |
guidance_scale | number · optional · min 0 · max 20 |
octree_resolution | integer · optional · min 1 · max 1024 |
num_inference_steps | integer · optional · min 1 · max 50 |