Tripo3d Triposplat Image To 3d

Tripo3d Triposplat Image To 3d

Playground

TripoSplat is a fast AI image-to-3D Gaussian splat generation model that converts a single image into a high-quality 3D Gaussian splat file with PLY and SPLAT export options. Ready-to-use REST inference API for 3D reconstruction, Gaussian-splat workflows, product visualization, AR/VR content, game assets, digital twins, and professional 3D asset generation with simple integration, no coldstarts, and affordable pricing.

Features

Tripo3D TripoSplat Image-to-3D converts a single input image into a 3D Gaussian splat, suitable for fast view synthesis, lightweight 3D previews, and splat-based rendering workflows. It supports adjustable Gaussian count, inference steps, guidance strength, and export format selection.

Why Choose This?

• Single-image 3D splat generation
  Turn one image into a 3D Gaussian splat without requiring multi-view capture.

• Adjustable splat density
  Control num_gaussians to balance detail and file size.

• Tunable generation quality
  Use num_inference_steps and guidance_scale to control fidelity and adherence to the source image.

• Flexible export formats
  Export as ply or splat depending on your downstream workflow.

• Production-ready API
  Useful for 3D previews, splat rendering, rapid prototyping, and lightweight scene reconstruction workflows.

Parameters

How to Use

1. Upload your image — provide the source image you want to convert.
2. Set Gaussian count (optional) — choose how dense the splat should be.
3. Adjust inference settings (optional) — tune num_inference_steps and guidance_scale as needed.
4. Choose output format — select ply or splat.
5. Submit — run the model and download the generated 3D splat file.

Example Use Case

Convert a product image into a 3D Gaussian splat for quick preview and interactive rendering.

Pricing

Just $0.05 per generation.

Billing Rules

• Each generation costs $0.05
• Pricing is fixed per request
• num_gaussians, num_inference_steps, guidance_scale, and output_format do not affect pricing

Best Use Cases

• 3D preview generation — Quickly turn still images into splat-based 3D assets.
• Product visualization — Create lightweight 3D previews from catalog or product photos.
• Rapid prototyping — Test 3D reconstruction ideas from a single source image.
• Splat rendering workflows — Generate assets for tools or viewers that support Gaussian splats.
• Creative experimentation — Explore image-to-3D conversion without complex capture setups.

Pro Tips

• Use a clear, well-lit source image for better reconstruction quality.
• Lower num_gaussians for smaller files and faster downstream handling.
• Increase num_inference_steps when you want more fidelity and can tolerate longer runtime.
• Adjust guidance_scale carefully if the output starts to look oversaturated or too tightly constrained.
• Choose the output format that best matches your viewer or downstream toolchain.

Notes

• image is required.
• num_gaussians defaults to 262144.
• num_inference_steps defaults to 20.
• guidance_scale defaults to 3.
• output_format defaults to ply.
• Pricing is fixed at $0.05 per request.

Related Models

• Tripo3D H3.1 Image-to-3D — Generate a more traditional textured 3D model from a single image.
• Tripo3D H3.1 Multiview-to-3D — Use multiple reference images for higher-accuracy 3D reconstruction.

## Authentication

For authentication details, please refer to the [Authentication Guide](/api-authentication).

## API Endpoints

### Submit Task & Query Result

<ApiTabs submitUrl={model.submitUrl} resultUrl={model.resultUrl} payload={model.defaultValues} />

## Parameters

### Task Submission Parameters

#### Request Parameters

<RequestParams params={model.params} />

#### Response Parameters

<SubmitResponse />

#### 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 |
| data.model | string | Model ID used for the prediction |
| data.outputs | array&lt;string \| object&gt; | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: `created`, `processing`, `completed`, or `failed` |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |