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.
就绪
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.
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.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Input image to convert into a 3D Gaussian splat. |
| num_gaussians | No | Target number of Gaussians in the output splat. Higher values can preserve more detail but create larger files. Range: 32768–262144. Default: 262144. |
| num_inference_steps | No | Number of flow-matching sampler steps. More steps can improve fidelity with higher runtime. Range: 1–50. Default: 20. |
| guidance_scale | No | Classifier-free guidance strength. Higher values follow the input image more strongly but may oversaturate colors. Range: 0–10. Default: 3. |
| output_format | No | Output Gaussian splat file format. Supported values: ply, splat. Default: ply. |
num_inference_steps and guidance_scale as needed.ply or splat.Convert a product image into a 3D Gaussian splat for quick preview and interactive rendering.
Just $0.05 per generation.
num_gaussians, num_inference_steps, guidance_scale, and output_format do not affect pricingnum_gaussians for smaller files and faster downstream handling.num_inference_steps when you want more fidelity and can tolerate longer runtime.guidance_scale carefully if the output starts to look oversaturated or too tightly constrained.image is required.num_gaussians defaults to 262144.num_inference_steps defaults to 20.guidance_scale defaults to 3.output_format defaults to ply.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/tripo3d/triposplat/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 Triposplat Image To 3d below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/tripo3d/triposplat/image-to-3d" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"image": "https://example.com/your-input.jpg",
"num_gaussians": 262144,
"num_inference_steps": 20,
"guidance_scale": 3,
"output_format": "ply"
}'
# 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].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("tripo3d/triposplat/image-to-3d", {
"image": "https://example.com/your-input.jpg",
"num_gaussians": 262144,
"num_inference_steps": 20,
"guidance_scale": 3,
"output_format": "ply"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"tripo3d/triposplat/image-to-3d",
{
"image": "https://example.com/your-input.jpg",
"num_gaussians": 262144,
"num_inference_steps": 20,
"guidance_scale": 3,
"output_format": "ply"
}
)
print(output["outputs"][0]) # → URL of the generated outputTriposplat Image To 3d is a Tripo3D model for 3D asset generation from images, exposed as a REST API on WaveSpeedAI. 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. You can call it programmatically or try it from the playground above.
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/tripo3d/tripo3d-triposplat-image-to-3d.
Triposplat Image To 3d starts at $0.050 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.
Key inputs: `image`, `guidance_scale`, `num_inference_steps`, `num_gaussians`, `output_format`. 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/tripo3d/tripo3d-triposplat-image-to-3d.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (Tripo3D). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.