# Triposplat API

> ایک تصویر کو 3D Gaussian splat فائل میں تبدیل کرتا ہے، جو .ply یا .splat کے طور پر export ہوتی ہے

میش کے بجائے ایک تصویر (`image_url`) سے 3D Gaussian splat بناتا ہے۔ `num_gaussians` کی حد 32,768 سے 262,144 ہے، اور `output_format` ply یا splat ہے۔ `num_inference_steps` (1-50)، `guidance_scale` اور `seed` بھی مقرر کیے جا سکتے ہیں۔ جواب میں اصل Gaussian تعداد اور پس منظر سے پاک وہ تصویر شامل ہوتی ہے جسے ماڈل نے استعمال کیا۔

- 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/ur/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 |  |  | 3D Gaussian splat میں تبدیلی کے لیے ماخذ تصویر URL۔ |
| `num_gaussians` |  | integer | no | `262144` | 32,768 – 262,144 | تخلیق شدہ splat کے لیے مطلوبہ Gaussian count، جسے اندرونی طور پر 32 کے قریب ترین multiple تک round کیا جاتا ہے۔ اسے بڑھانے سے detail بڑھتی ہے، مگر فائل کا حجم اور rendering کا وقت بھی بڑھتا ہے۔ |
| `num_inference_steps` |  | integer | no | `20` | 1 – 50 | flow-matching sampler کے لیے steps کی تعداد۔ |
| `guidance_scale` |  | number | no | `3` | 0 – 10 | Classifier-free guidance control؛ زیادہ مضبوط settings detail بڑھاتی ہیں اور نتیجے کو source تصویر کے قریب لاتی ہیں، مگر رنگ over-saturated ہو سکتے ہیں۔ 1.0 یا اس سے کم پر guidance بند ہو جاتی ہے۔ |
| `output_format` |  | enum (string) | no | `ply` | `ply`, `splat` | Gaussian splat کے لیے آؤٹ پٹ فائل کا format۔ |
| `seed` |  | integer \| null | no |  |  | نتائج کو دوبارہ تیار کرنے کے لیے استعمال ہونے والا seed۔ اسے None پر set کرنے سے بے ترتیب seed منتخب ہوتا ہے۔ |
| `enable_safety_checker` |  | boolean | no | `true` |  | Source تصویر کے لیے safety-check toggle۔ |

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} | 3D Gaussian splat پر مشتمل آؤٹ پٹ فائل، .ply یا .splat format میں۔ |
| `preprocessed_image` | object {url, content_type, file_name, file_size, width, height} | ماڈل کے ذریعے حقیقت میں استعمال کی گئی تصویر: background removal کے بعد سیاہ پس منظر کے سامنے foreground دکھانے والا RGB composite۔ |
| `num_gaussians` | integer | تخلیق شدہ Gaussians کی اصل تعداد۔ |
| `seed` | integer | تخلیق کے دوران لاگو ہونے والی سیڈ قدر۔ |
| `timings` | object | ہر مرحلے پر صرف ہونے والا وقت، سیکنڈز میں ناپا جاتا ہے۔ |

## 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