# Hunyuan3d V3 · Sketch to 3D API

> Bir çizim veya çizgi sanatı ile metin istemini 3D modele dönüştüren Hunyuan3D V3

Bir çizim veya çizgi sanatı görüntüsü (`input_image_url`, 128x128 ile 5000x5000 piksel) ve renk, kategori ve malzemeyi açıklayan en fazla 1024 karakterlik bir `prompt` gerektirir. `enable_pbr` PBR malzemelerini etkinleştirir; `face_count` hedef poligon sayısını 40000 ile 1500000 arasında belirler. GLB dosyası, diğer biçim URL'leri ve küçük resim döndürür.

- Model id: `hunyuan3d-v3/sketch-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/hunyuan3d-v3/sketch-to-3d`
- Quote: `POST https://api.doitong.ru/v1/quote/hunyuan3d-v3/sketch-to-3d`
- Docs page: https://doitong.com/tr/developers/models/hunyuan3d-v3/sketch-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/hunyuan3d-v3/sketch-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 |  |  | 3D modele dönüştürülecek eskiz veya çizgi resmi görselinin URL'si. Desteklenen görsel boyutları 128 × 128 ile 5000 × 5000 piksel arasındadır. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Çağıran yetkiliyse false ayarlanarak tarama gevşetilebilir. |
| `prompt` |  | string | yes |  | ≤ 1024 characters | 3D içerik için metin isteminde malzeme, renk veya kategori gibi özellikleri belirtin. |
| `enable_pbr` |  | boolean | no | `false` |  | PBR malzemeleri üretme anahtarı. |
| `face_count` |  | integer | no | `500000` | 40,000 – 1,500,000 | 40,000 ile 1,500,000 arasında değişen istenen yüz sayısı. |

File parameters (`input_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",
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "input_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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-v3/sketch-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",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# 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-v3/sketch-to-3d?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "input_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
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",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/hunyuan3d-v3/sketch-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": "hunyuan3d-v3/sketch-to-3d",
      "input": {
        "input_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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-v3/sketch-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",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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
      },
      "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} | Üretilen 3D nesneyi içeren GLB dosyası. |
| `thumbnail` | object {url, content_type, file_name, file_size} \| null | Üretilen modelin önizlemesini gösteren küçük görsel. |
| `model_urls` | object {glb, fbx, obj, usdz} | Çeşitli biçimlerdeki 3D model bağlantıları. |
| `seed` | integer \| null | Üretim sırasında kullanılan seed değeri. |

## Related models

- [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
- [Hunyuan3d V3 · Text to 3D](https://doitong.com/developers/models/hunyuan3d-v3/text-to-3d.md) (`hunyuan3d-v3/text-to-3d`): from $0.225 / run
- [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
- [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

## Links

- HTML page: https://doitong.com/developers/models/hunyuan3d-v3/sketch-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=hunyuan3d-v3/sketch-to-3d
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/hunyuan3d-v3/sketch-to-3d