# Hunyuan 3D Pro Image to 3D API

> Ráhkada 3D-modealla ovddabeale govas ja vejolaš lassinčájehemiin, face-count- ja PBR-kontrollain

Ráhkada 3D-modealla geatnegahtton ovddabeale gova `input_image_url` vuođul. Vejolaš maŋábeale, gurut, olgeš, bajit, vuolit ja guokte 45-gráda čájeheami sáhttet lasihit dieđuid. `generate_type` vállje tekstuvrralaš modealla dahje vilges, geometriija-dušše modealla; `enable_pbr` lasiha PBR-materialaid, ja `face_count` lea 40,000 gitta 1,500,000. Máhccá GLB:a, eará formáhtaid URL:aid ja thumbnaila.

- 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/se/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 |  |  | Ovdageahčangova JPG-, PNG- dahje WEBP-URL, resolušuvnnain 128 rájes 5000px rádjái ja sturrodaga olles 8 MB. Geavat ovttageardán duogáža ja ovtta ášši mii deavdá eanet go 50% rámmas. |
| `back_image_url` |  | string (image URL) \| null | no |  |  | Maŋágeahčangova URL, vejolaš lasá; JPG/PNG lea evttohuvvon. |
| `left_image_url` |  | string (image URL) \| null | no |  |  | Gurutbealde gova URL, vejolaš lasá; JPG/PNG lea evttohuvvon. |
| `right_image_url` |  | string (image URL) \| null | no |  |  | Olgešbealde gova URL, vejolaš lasá; JPG/PNG lea evttohuvvon. |
| `top_image_url` |  | string (image URL) \| null | no |  |  | Oaivvegeahčangova URL, vejolaš lasá ja olamuttus dušše v3.1:s; JPG/PNG lea evttohuvvon. |
| `bottom_image_url` |  | string (image URL) \| null | no |  |  | Lasi vuollegeahčangova URL, doarju dušše v3.1. JPG/PNG lea evttohuvvon. |
| `left_front_image_url` |  | string (image URL) \| null | no |  |  | Lasi govva-URL, olamuttus dušše v3.1:s, eaktodáhtolaččat JPG/PNG-formáhtas. Govva addá 45-grádalaš geahččamuša gurutovda bealde. |
| `right_front_image_url` |  | string (image URL) \| null | no |  |  | Lasi govva-URL, olamuttus dušše v3.1:s, eaktodáhtolaččat JPG/PNG-formáhtas. Govva addá 45-grádalaš geahččamuša olgešovda bealde. |
| `generate_type` |  | enum (string) | no | `Normal` | `Normal`, `Geometry` | Vállje tekstuvrralaš modealla Normalain ja tekstuvrralaš, vielgat, dušše-geometriija modealla Geometry gaskkas. v3.1:s LowPoly/Sketch ii sáhte válljejuvvot. |
| `enable_pbr` |  | boolean | no | `false` |  | PBR-ráhkadeami válljen, ii doaimma go generate_type lea Geometry. Muđui dan aktiviseren lasiha metallalaš, garra- ja normaltekstuvrraid ráhkaduvvon materiálaide. |
| `face_count` |  | integer | no | `500000` | 40,000 – 1,500,000 | Háliiduvvon polygono-láhtuid lohku, 40,000 rájes 1,500,000 rádjái. Standárdan 500,000. |

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} | GLB-fiila ráhkaduvvon 3D-objektiin. |
| `thumbnail` | object {url, content_type, file_name, file_size} \| null | Miniatyrgovva mii čájeha ráhkaduvvon modealla ovdan. |
| `model_urls` | object {glb, fbx, obj, mtl, texture, usdz} | Liŋkkat 3D-modeallii iešguđet formáhtain. |
| `seed` | integer \| null | Seed-árvu mii geavahuvvo ráhkadeami áigge. |

## 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