# Triposplat API

> Ginagawang 3D Gaussian splat file ang isang larawan, na ine-export bilang .ply o .splat

Gumagawa ng 3D Gaussian splat mula sa isang larawan (`image_url`) sa halip na mesh. Ang `num_gaussians` ay mula 32,768 hanggang 262,144, at ang `output_format` ay ply o splat. Maaari ring itakda ang `num_inference_steps` (1-50), `guidance_scale` at `seed`. Kasama sa response ang aktuwal na bilang ng Gaussian at ang larawang inalisan ng background na ginamit ng modelo.

- Model id: `tripo3d/triposplat`
- Made by: Tripo
- Category: Image to 3D
- Output: 3d
- Price: $0.05 / request (cheapest run $0.05 (50 API credits))
- Run: `POST https://api.doitong.com/v1/run/tripo3d/triposplat`
- Quote: `POST https://api.doitong.com/v1/quote/tripo3d/triposplat`
- Docs page: https://doitong.com/fil/developers/models/tripo3d/triposplat

## Pricing

Price: **$0.05 / request**. Billed once per request.

The full example input below costs $0.05 = 50 API credits (1 request × 50 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/tripo3d/triposplat` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | URL ng source na larawan para sa conversion sa isang 3D Gaussian splat. |
| `num_gaussians` |  | integer | no | `262144` | 32,768 – 262,144 | Ninanais na bilang ng Gaussian para sa nabuong splat, na internally niroround sa pinakamalapit na multiple ng 32. Ang pagtaas nito ay nagdaragdag ng detalye ngunit nagpapalaki rin ng file at nagpapabagal sa rendering. |
| `num_inference_steps` |  | integer | no | `20` | 1 – 50 | Bilang ng hakbang para sa flow-matching sampler. |
| `guidance_scale` |  | number | no | `3` | 0 – 10 | Kontrol ng classifier-free guidance, kung saan ang mas matitinding setting ay nagdaragdag ng detalye at inilalapit ang resulta sa source na larawan kapalit ng posibilidad ng oversaturated na mga kulay. Naka-off ang guidance sa 1.0 o mas mababa. |
| `output_format` |  | enum (string) | no | `ply` | `ply`, `splat` | Format ng output file para sa Gaussian splat. |
| `seed` |  | integer \| null | no |  |  | Seed na ginagamit para ma-reproduce ang mga resulta. Ang pagtatakda nito sa None ay pumipili ng random na seed. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Toggle ng safety check para sa source na larawan. |

File parameters (`image`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/tripo3d/triposplat?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/tripo3d/triposplat?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/tripo3d/triposplat", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.com/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "tripo3d/triposplat",
      "input": {
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "tripo3d/triposplat",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 50,
    "usd": "0.05",
    "charged": 50,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "model_mesh": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    },
    "preprocessed_image": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768
    },
    "num_gaussians": 1,
    "seed": 42,
    "timings": {}
  },
  "outputs": [
    {
      "type": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `model_mesh` | object {url, content_type, file_name, file_size} | Output file na naglalaman ng 3D Gaussian splat, sa .ply o .splat format. |
| `preprocessed_image` | object {url, content_type, file_name, file_size, width, height} | Larawang aktuwal na ginagamit ng modelo: isang RGB composite na nagpapakita sa foreground laban sa itim pagkatapos alisin ang background. |
| `num_gaussians` | integer | Aktuwal na bilang ng mga nabuong Gaussian. |
| `seed` | integer | Seed value na inilapat sa pagbuo. |
| `timings` | object | Oras na ginugol sa bawat stage, sinusukat sa segundo. |

## Related models

- [Tripo3D · Image to 3D](https://doitong.com/developers/models/tripo3d/tripo/v2.5/image-to-3d.md) (`tripo3d/tripo/v2.5/image-to-3d`): from $0.20 / run
- [Tripo3D · Multiview to 3D](https://doitong.com/developers/models/tripo3d/tripo/v2.5/multiview-to-3d.md) (`tripo3d/tripo/v2.5/multiview-to-3d`): from $0.20 / run
- [Tripo3D Remesh](https://doitong.com/developers/models/tripo3d/tripo/remesh.md) (`tripo3d/tripo/remesh`): $0.40 / run
- [Tripo3D Segment](https://doitong.com/developers/models/tripo3d/tripo/segment.md) (`tripo3d/tripo/segment`): $0.40 / run
- [Tripo H3.1 Image to 3D](https://doitong.com/developers/models/tripo3d/h3.1/image-to-3d.md) (`tripo3d/h3.1/image-to-3d`): from $0.20 / run
- [Tripo H3.1 Multiview to 3D](https://doitong.com/developers/models/tripo3d/h3.1/multiview-to-3d.md) (`tripo3d/h3.1/multiview-to-3d`): from $0.20 / run
- [Tripo P1 Image to 3D](https://doitong.com/developers/models/tripo3d/p1/image-to-3d.md) (`tripo3d/p1/image-to-3d`): from $0.40 / request
- [Tripo P2 Image to 3D](https://doitong.com/developers/models/tripo3d/p2/image-to-3d.md) (`tripo3d/p2/image-to-3d`): from $1.00 / run

## Links

- HTML page: https://doitong.com/developers/models/tripo3d/triposplat
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=tripo3d/triposplat
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/tripo3d/triposplat