# Hunyuan 3D Pro Image to 3D API

> 앞면 이미지와 선택적 추가 시점으로 3D 모델을 생성하며 면 수와 PBR을 제어

필수 앞면 이미지 `input_image_url`에서 3D 모델을 생성합니다. 선택적으로 뒤, 왼쪽, 오른쪽, 위, 아래 및 두 개의 45도 시점 이미지를 추가해 디테일을 보강할 수 있습니다. `generate_type`은 텍스처 모델 또는 흰색 지오메트리 전용 모델을 선택하고, `enable_pbr`은 PBR 재질을 추가하며, `face_count`는 40,000~1,500,000 범위입니다. GLB, 다른 형식의 URL 및 썸네일을 반환합니다.

- Model id: `hunyuan-3d/v3.1/pro/image-to-3d`
- Made by: Tencent
- Category: Image to 3D
- Output: 3d
- Price per run: $0.375 / run (cheapest run $0.375 (375 API credits))
- Run: `POST https://api.doitong.ru/v1/run/hunyuan-3d/v3.1/pro/image-to-3d`
- Quote: `POST https://api.doitong.ru/v1/quote/hunyuan-3d/v3.1/pro/image-to-3d`
- Docs page: https://doitong.com/ko/developers/models/hunyuan-3d/v3.1/pro/image-to-3d

## Pricing

Price: **$0.375 / run**. Price per run: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.375 = 375 API credits (1 run × $0.375).

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/pro/image-to-3d` 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_image_url` |  | string (image URL) | yes |  |  | 해상도 128~5000px, 크기 8 MB 이하인 정면 JPG, PNG 또는 WEBP 이미지 URL입니다. 단순한 배경과 프레임의 50%를 초과해 채우는 하나의 객체를 권장합니다. |
| `back_image_url` |  | string (image URL) \| null | no |  |  | 선택적으로 제공하는 후면 이미지 URL입니다. JPG/PNG를 권장합니다. |
| `left_image_url` |  | string (image URL) \| null | no |  |  | 선택적으로 제공하는 좌측면 이미지 URL입니다. JPG/PNG를 권장합니다. |
| `right_image_url` |  | string (image URL) \| null | no |  |  | 선택적으로 제공하는 우측면 이미지 URL입니다. JPG/PNG를 권장합니다. |
| `top_image_url` |  | string (image URL) \| null | no |  |  | 선택적으로 제공하며 v3.1에서만 사용할 수 있는 상면 이미지 URL입니다. JPG/PNG를 권장합니다. |
| `bottom_image_url` |  | string (image URL) \| null | no |  |  | 선택적 하면 이미지 URL입니다. v3.1에서만 지원됩니다. JPG/PNG를 권장합니다. |
| `left_front_image_url` |  | string (image URL) \| null | no |  |  | v3.1에서만 사용할 수 있는 선택적 이미지 URL입니다. JPG/PNG 형식을 권장하며 왼쪽 앞쪽에서 본 45도 시점을 제공합니다. |
| `right_front_image_url` |  | string (image URL) \| null | no |  |  | v3.1에서만 사용할 수 있는 선택적 이미지 URL입니다. JPG/PNG 형식을 권장하며 오른쪽 앞쪽에서 본 45도 시점을 제공합니다. |
| `generate_type` |  | enum (string) | no | `Normal` | `Normal`, `Geometry` | Normal이 포함된 텍스처 모델과 Geometry를 사용하는 텍스처 없는 흰색 지오메트리 전용 모델 중에서 선택합니다. v3.1에서는 LowPoly/Sketch를 선택할 수 없습니다. |
| `enable_pbr` |  | boolean | no | `false` |  | PBR 생성 전환입니다. generate_type이 Geometry이면 비활성화됩니다. 그 외에는 활성화 시 생성된 재질에 금속성, 거칠기, 노멀 텍스처를 추가합니다. |
| `face_count` |  | integer | no | `500000` | 40,000 – 1,500,000 | 원하는 폴리곤 면 수입니다. 40,000~1,500,000이며 기본값은 500,000입니다. |

File parameters (`input_image_url`, `back_image_url`, `left_image_url`, `right_image_url`, `top_image_url`, `bottom_image_url`, `left_front_image_url`, `right_front_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
{
  "input_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "input_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/hunyuan-3d/v3.1/pro/image-to-3d?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input_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/hunyuan-3d/v3.1/pro/image-to-3d?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "input_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 = {
    "input_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/hunyuan-3d/v3.1/pro/image-to-3d", 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/pro/image-to-3d",
      "input": {
        "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": "hunyuan-3d/v3.1/pro/image-to-3d",
  "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": 375,
    "usd": "0.375",
    "charged": 375,
    "refunded": 0
  },
  "input": {
    "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
    },
    "thumbnail": {
      "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
    },
    "model_urls": {
      "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
      },
      "fbx": {
        "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
      },
      "obj": {
        "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
      },
      "mtl": {
        "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
      },
      "texture": {
        "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
      },
      "usdz": {
        "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_glb` | object {url, content_type, file_name, file_size} | 생성된 3D 객체가 포함된 GLB 파일입니다. |
| `thumbnail` | object {url, content_type, file_name, file_size} \| null | 생성된 모델의 미리보기를 보여주는 썸네일입니다. |
| `model_urls` | object {glb, fbx, obj, mtl, texture, usdz} | 다양한 형식의 3D 모델 링크입니다. |
| `seed` | integer \| null | 생성 중 사용하는 시드 값입니다. |

## Related models

- [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 Part Splitter](https://doitong.com/developers/models/hunyuan-3d/v3.1/part.md) (`hunyuan-3d/v3.1/part`): $0.45 / 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
- [Hunyuan World · Image to World](https://doitong.com/developers/models/hunyuan_world/image-to-world.md) (`hunyuan_world/image-to-world`): $0.30 / request
- [Hunyuan3D](https://doitong.com/developers/models/hunyuan3d/v2.md) (`hunyuan3d/v2`): from $0.16 / request
- [Hunyuan3d V3 · Image to 3D](https://doitong.com/developers/models/hunyuan3d-v3/image-to-3d.md) (`hunyuan3d-v3/image-to-3d`): from $0.225 / run

## Links

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