# Hunyuan 3D Part Splitter API

> FBX 3D ماڈل کو الگ حصے کی فائلوں میں تقسیم کرتا ہے

`input_file_url` کے ذریعے FBX فائل لے کر ماڈل کو حصوں میں تقسیم کرتا ہے، جو FBX فائلوں کی فہرست کے طور پر واپس آتے ہیں۔ صرف FBX معاونت یافتہ ہے، زیادہ سے زیادہ حجم 100MB اور face count 30,000 یا کم ہونا چاہیے۔ یہ AI سے تخلیق کردہ ماڈلز پر بہترین کام کرتا ہے۔

- Model id: `hunyuan-3d/v3.1/part`
- Made by: Tencent
- Category: 3D
- Output: json
- Estimated price per run: $0.45 / run (cheapest run $0.45 (450 API credits))
- Run: `POST https://api.doitong.ru/v1/run/hunyuan-3d/v3.1/part`
- Quote: `POST https://api.doitong.ru/v1/quote/hunyuan-3d/v3.1/part`
- Docs page: https://doitong.com/ur/developers/models/hunyuan-3d/v3.1/part

## Pricing

Price: **$0.45 / run**. Estimated from the typical cost of one run. The quote is exactly what the run charges.

The full example input below costs $0.45 = 450 API credits (1 request × 450 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/hunyuan-3d/v3.1/part` 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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `input_file_url` |  | string (file URL) | yes |  |  | Part splitting کے لیے FBX فائل URL کے ذریعے ماڈل فراہم کریں؛ دیگر formats سپورٹ نہیں ہوتے۔ AIGC-generated ماڈلز تجویز کیے جاتے ہیں، اور فائل دونوں حدود کے اندر ہونی چاہیے: 100 MB اور 30,000 faces۔ |

File parameters (`input_file_url`) 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
{
  "input_file_url": "https://example.com/your-file.bin"
}
```

A fuller example:

```json
{
  "input_file_url": "https://example.com/your-file.bin"
}
```

## 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/hunyuan-3d/v3.1/part?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input_file_url": "https://example.com/your-file.bin"
  }'

# 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/hunyuan-3d/v3.1/part?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "input_file_url": "https://example.com/your-file.bin"
  }),
});
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 = {
    "input_file_url": "https://example.com/your-file.bin",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/hunyuan-3d/v3.1/part", 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": "hunyuan-3d/v3.1/part",
      "input": {
        "input_file_url": "https://example.com/your-file.bin"
      },
      "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": "hunyuan-3d/v3.1/part",
  "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": 450,
    "usd": "0.45",
    "charged": 450,
    "refunded": 0
  },
  "input": {
    "input_file_url": "https://example.com/your-file.bin"
  },
  "output": {
    "result_files": [
      {
        "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
      }
    ]
  },
  "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 |
|---|---|---|
| `result_files` | array of object {url, content_type, file_name, file_size} | تخلیق کردہ حصوں پر مشتمل FBX فائلوں کی فہرست۔ |

## Related models

- [Hunyuan 3D Pro Image to 3D](https://doitong.com/developers/models/hunyuan-3d/v3.1/pro/image-to-3d.md) (`hunyuan-3d/v3.1/pro/image-to-3d`): $0.375 / run
- [Hunyuan 3D Rapid Image to 3D](https://doitong.com/developers/models/hunyuan-3d/v3.1/rapid/image-to-3d.md) (`hunyuan-3d/v3.1/rapid/image-to-3d`): from $0.225 / request
- [Hunyuan 3d](https://doitong.com/developers/models/hunyuan-3d/v3.1/rapid/text-to-3d.md) (`hunyuan-3d/v3.1/rapid/text-to-3d`): from $0.225 / request
- [Hunyuan 3D Pro Text to 3D](https://doitong.com/developers/models/hunyuan-3d/v3.1/pro/text-to-3d.md) (`hunyuan-3d/v3.1/pro/text-to-3d`): $0.375 / run
- [Hunyuan 3D Smart Topology](https://doitong.com/developers/models/hunyuan-3d/v3.1/smart-topology.md) (`hunyuan-3d/v3.1/smart-topology`): $0.75 / run
- [Abot World 0](https://doitong.com/developers/models/alibaba/abot-world-0.md) (`alibaba/abot-world-0`): $0.001 / run
- [Hi3D 3D Part Splitter](https://doitong.com/developers/models/hitem3d/hi3d/split.md) (`hitem3d/hi3d/split`): $0.40 / run
- [Hi3D 3D to Multicolor](https://doitong.com/developers/models/hitem3d/hi3d/multicolor.md) (`hitem3d/hi3d/multicolor`): $0.40 / run

## Links

- HTML page: https://doitong.com/developers/models/hunyuan-3d/v3.1/part
- 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=hunyuan-3d/v3.1/part
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/hunyuan-3d/v3.1/part