# Triposplat API

> Konwertuje jeden obraz na plik 3D Gaussian splat, eksportowany jako .ply lub .splat

Generuje 3D Gaussian splat z pojedynczego obrazu (`image_url`), a nie z siatki. `num_gaussians` mieści się w zakresie od 32,768 do 262,144, a `output_format` przyjmuje wartość ply lub splat. Można także ustawić `num_inference_steps` (1-50), `guidance_scale` i `seed`. Odpowiedź zawiera rzeczywistą liczbę Gaussian oraz obraz z usuniętym tłem użyty przez model.

- 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.ru/v1/run/tripo3d/triposplat`
- Quote: `POST https://api.doitong.ru/v1/quote/tripo3d/triposplat`
- Docs page: https://doitong.com/pl/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.ru/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 |  |  | Adres URL obrazu źródłowego do konwersji na 3D Gaussian splat. |
| `num_gaussians` |  | integer | no | `262144` | 32,768 – 262,144 | Żądana liczba Gaussianów dla wygenerowanego splatu, wewnętrznie zaokrąglana do najbliższej wielokrotności 32. Zwiększenie tej wartości dodaje szczegóły, ale zwiększa też rozmiar pliku i spowalnia renderowanie. |
| `num_inference_steps` |  | integer | no | `20` | 1 – 50 | Liczba kroków samplera flow-matching. |
| `guidance_scale` |  | number | no | `3` | 0 – 10 | Sterowanie classifier-free guidance, w którym silniejsze ustawienia dodają szczegóły i zbliżają wynik do obrazu źródłowego kosztem ryzyka nadmiernie nasyconych kolorów. Guidance wyłącza się przy wartości 1.0 lub niższej. |
| `output_format` |  | enum (string) | no | `ply` | `ply`, `splat` | Format pliku wynikowego Gaussian splat. |
| `seed` |  | integer \| null | no |  |  | Ziarno używane do odtwarzania wyników. Ustawienie None wybiera losowe ziarno. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Przełącznik kontroli bezpieczeństwa obrazu źródłowego. |

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.ru/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.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/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.ru/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.ru/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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `model_mesh` | object {url, content_type, file_name, file_size} | Plik wynikowy zawierający 3D Gaussian splat w formacie .ply lub .splat. |
| `preprocessed_image` | object {url, content_type, file_name, file_size, width, height} | Obraz faktycznie użyty przez model: kompozycja RGB przedstawiająca pierwszy plan na czarnym tle po usunięciu tła. |
| `num_gaussians` | integer | Rzeczywista liczba wygenerowanych Gaussianów. |
| `seed` | integer | Wartość ziarna stosowana podczas generowania. |
| `timings` | object | Czas spędzony na każdym etapie, mierzony w sekundach. |

## 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.ru/v1/models/tripo3d/triposplat