# Sam 3 · 3D Body API

> ایک تصویر سے 3D انسانی جسم کے میشز بناتا ہے، ہر شناخت شدہ شخص کے لیے ایک

ایک تصویر میں موجود لوگوں کے 3D باڈی میشز بناتا ہے۔ لوگوں کی خودکار شناخت ہوتی ہے، یا آپ `mask_url` میں بائنری ماسک دے سکتے ہیں (شخص کے لیے سفید)۔ ٹوگلز فی شخص .ply ایکسپورٹ، GLB میں 3D کی پوائنٹ مارکرز، اور میٹاڈیٹا میں مکمل MHR پیرامیٹر سیٹ کو کنٹرول کرتے ہیں۔ GLB، میشز، میٹاڈیٹا اور ویژولائزیشن تصویر واپس کرتا ہے۔

- Model id: `sam-3/3d-body`
- Made by: Meta
- Category: Image to 3D
- Output: 3d
- Estimated price per run: $0.02 / run (cheapest run $0.02 (20 API credits))
- Run: `POST https://api.doitong.com/v1/run/sam-3/3d-body`
- Quote: `POST https://api.doitong.com/v1/quote/sam-3/3d-body`
- Docs page: https://doitong.com/ur/developers/models/sam-3/3d-body

## Pricing

Price: **$0.02 / run**. Estimated from the typical cost of one run. The quote is exactly what the run charges.

The full example input below costs $0.02 = 20 API credits (1 request × 20 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/sam-3/3d-body` 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 |  |  | انسانوں کو دکھانے والی تصویر کا URL۔ |
| `mask_url` | `mask` | string (image URL) \| null | no |  |  | اختیاری بائنری ماسک تصویر کا URL جو خودکار انسانی ڈیٹیکشن کی جگہ لے کر خودکار باؤنڈنگ باکس کے حساب کے لیے ڈیٹا فراہم کرتا ہے۔ شخص کو سفید اور پس منظر کو سیاہ رنگ میں انکوڈ کریں۔ |
| `export_meshes` |  | boolean | no | `true` |  | آیا ہر شخص کے لیے الگ .ply میش فائل برآمد کی جائے۔ |
| `include_3d_keypoints` |  | boolean | no | `true` |  | آیا بصری نمائندگی کے لیے GLB میش میں کروی 3D کی پوائنٹ مارکرز شامل کیے جائیں۔ |
| `include_mhr_params` |  | boolean | no | `true` |  | آیا ہر شخص کے جواب کے میٹا ڈیٹا میں مکمل MHR (Meta Human Representation) ڈیٹا شامل ہو یا صرف کیمرا پیرامیٹرز اور کی پوائنٹس (`false`)۔ مکمل ڈیٹا میں اظہار اور شکل، پوز اور خام پوز، جوائنٹ کوآرڈینیٹس اور عالمی گردشیں، نیز پیک کیے گئے ماڈل پیرامیٹرز شامل ہیں۔ |

File parameters (`image`, `mask`) 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/sam-3/3d-body?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/sam-3/3d-body?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/sam-3/3d-body", 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": "sam-3/3d-body",
      "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": "sam-3/3d-body",
  "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": 20,
    "usd": "0.02",
    "charged": 20,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "model_glb": {
      "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
    },
    "visualization": {
      "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
    },
    "meshes": [
      {
        "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
      }
    ],
    "metadata": {
      "num_people": 1,
      "people": [
        {
          "person_id": 1,
          "bbox": [],
          "focal_length": 1.0,
          "pred_cam_t": [],
          "keypoints_2d": [],
          "keypoints_3d": [],
          "shape_params": [],
          "body_pose_params": [],
          "hand_pose_params": [],
          "global_rot": [],
          "pred_global_rots": [],
          "scale_params": [],
          "expr_params": [],
          "pred_joint_coords": [],
          "mhr_model_params": [],
          "pred_pose_raw": []
        }
      ],
      "keypoint_names": [
        "string"
      ]
    }
  },
  "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_glb` | object {url, content_type, file_name, file_size} | GLB فارمیٹ کا 3D باڈی میش، اختیاری طور پر 3D کی پوائنٹس کے مارکرز سمیت۔ |
| `visualization` | object {url, content_type, file_name, file_size} | اصل تصویر، کی پوائنٹس، میش اور سائیڈ ویو دکھانے والی مرکب بصری نمائندگی۔ |
| `meshes` | array of object {url, content_type, file_name, file_size} \| null | ہر شناخت شدہ شخص کے لیے الگ .ply میش فائلیں، export_meshes کے True ہونے پر واپس کی جاتی ہیں۔ |
| `metadata` | object {num_people, people, keypoint_names} | کیمرا پیرامیٹرز اور کی پوائنٹس پر مشتمل ساخت یافتہ میٹا ڈیٹا۔ |

## Related models

- [Sam 3 · Image RLE](https://doitong.com/developers/models/sam-3/image-rle.md) (`sam-3/image-rle`): $0.005 / run
- [Segment Anything Model 3](https://doitong.com/developers/models/sam-3/image.md) (`sam-3/image`): $0.005 / run
- [Sam 3 · Video](https://doitong.com/developers/models/sam-3/video.md) (`sam-3/video`): $0.005 / 16 frames of input video
- [Sam 3 · Video RLE](https://doitong.com/developers/models/sam-3/video-rle.md) (`sam-3/video-rle`): $0.005 / 16 frames of input video
- [Sam 3 · 3D Objects](https://doitong.com/developers/models/sam-3/3d-objects.md) (`sam-3/3d-objects`): $0.02 / run
- [Sam 3 · 3D Align](https://doitong.com/developers/models/sam-3/3d-align.md) (`sam-3/3d-align`): $0.02 / run
- [Sam 3 · Image · Embed](https://doitong.com/developers/models/sam-3/image/embed.md) (`sam-3/image/embed`): $0.005 / run
- [Hi3D Image to 3D](https://doitong.com/developers/models/hitem3d/hi3d/image-to-3d.md) (`hitem3d/hi3d/image-to-3d`): $0.50 / run

## Links

- HTML page: https://doitong.com/developers/models/sam-3/3d-body
- 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=sam-3/3d-body
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/sam-3/3d-body