# Hunyuan3D · Multi View · Turbo API

> Turbo متعدد مناظر والا Hunyuan3D v2، سامنے، پیچھے اور بائیں تصاویر سے 3D میش بناتا ہے

ملٹی ویو ماڈل کا Turbo ویرینٹ، جس کے لیے سامنے، پیچھے اور بائیں تصویر کے URLs درکار ہیں۔ `num_inference_steps` 1 سے 50، `guidance_scale` 0 سے 20، `octree_resolution` 1 سے 1024، سیڈ اور اختیاری `textured_mesh` ٹوگل قبول کرتا ہے۔

- Model id: `hunyuan3d/v2/multi-view/turbo`
- Made by: Tencent
- Category: Image to 3D
- Output: 3d
- Price: from $0.14 / request (cheapest run $0.14 (140 API credits))
- Run: `POST https://api.doitong.ru/v1/run/hunyuan3d/v2/multi-view/turbo`
- Quote: `POST https://api.doitong.ru/v1/quote/hunyuan3d/v2/multi-view/turbo`
- Docs page: https://doitong.com/ur/developers/models/hunyuan3d/v2/multi-view/turbo

## Pricing

Price: **from $0.14 / request** (the lowest tier; the quote prices your exact input). Billed once per request.

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `textured_mesh` = true: $0.42 (420 API credits) / request

The full example input below costs $0.14 = 140 API credits (1 request × 140 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/hunyuan3d/v2/multi-view/turbo` 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 |
|---|---|---|---|---|---|---|
| `front_image_url` |  | string (image URL) | yes |  |  | 3D ماڈل تخلیق کے لیے استعمال ہونے والا تصویر کا URL۔ |
| `back_image_url` |  | string (image URL) | yes |  |  | 3D ماڈل تخلیق کے لیے استعمال ہونے والا تصویر کا URL۔ |
| `left_image_url` |  | string (image URL) | yes |  |  | 3D ماڈل تخلیق کے لیے استعمال ہونے والا تصویر کا URL۔ |
| `seed` |  | integer \| null | no |  |  | قابلِ تکرار تصاویر کے لیے سیڈ: ماڈل ورژن تبدیل نہ ہونے پر یکساں پرامپٹ اور سیڈ یکساں تصویر تیار کرتے ہیں۔ |
| `num_inference_steps` |  | integer | no | `50` | 1 – 50 | چلائے جانے والے inference steps کی تعداد۔ |
| `guidance_scale` |  | number | no | `7.5` | 0 – 20 | ماڈل پر لاگو ہونے والی guidance کا اسکیل۔ |
| `octree_resolution` |  | integer | no | `256` | 1 – 1,024 | ماڈل کے octree کا ریزولوشن۔ |
| `textured_mesh` |  | boolean | no | `false` |  |  |

File parameters (`front_image_url`, `back_image_url`, `left_image_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
{
  "front_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "back_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "left_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "front_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "back_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "left_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/hunyuan3d/v2/multi-view/turbo?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "front_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "back_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "left_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/hunyuan3d/v2/multi-view/turbo?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "front_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "back_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "left_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 = {
    "front_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "back_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "left_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/hunyuan3d/v2/multi-view/turbo", 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": "hunyuan3d/v2/multi-view/turbo",
      "input": {
        "front_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "back_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "left_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": "hunyuan3d/v2/multi-view/turbo",
  "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": 140,
    "usd": "0.14",
    "charged": 140,
    "refunded": 0
  },
  "input": {
    "front_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "back_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "left_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
    },
    "seed": 42
  },
  "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} | تخلیق کردہ 3D object پر مشتمل فائل۔ |
| `seed` | integer | تخلیق کے دوران استعمال ہونے والا سیڈ۔ |

## Related models

- [Hunyuan3D](https://doitong.com/developers/models/hunyuan3d/v2.md) (`hunyuan3d/v2`): from $0.16 / request
- [Hunyuan3D · Mini](https://doitong.com/developers/models/hunyuan3d/v2/mini.md) (`hunyuan3d/v2/mini`): from $0.10 / request
- [Hunyuan3D · Mini · Turbo](https://doitong.com/developers/models/hunyuan3d/v2/mini/turbo.md) (`hunyuan3d/v2/mini/turbo`): $0.08 / request
- [Hunyuan3D · Multi View](https://doitong.com/developers/models/hunyuan3d/v2/multi-view.md) (`hunyuan3d/v2/multi-view`): from $0.16 / request
- [Hunyuan3D · Turbo](https://doitong.com/developers/models/hunyuan3d/v2/turbo.md) (`hunyuan3d/v2/turbo`): from $0.14 / request
- [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 World · Image to World](https://doitong.com/developers/models/hunyuan_world/image-to-world.md) (`hunyuan_world/image-to-world`): $0.30 / request

## Links

- HTML page: https://doitong.com/developers/models/hunyuan3d/v2/multi-view/turbo
- 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=hunyuan3d/v2/multi-view/turbo
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/hunyuan3d/v2/multi-view/turbo