# Hunyuan 3D Rapid Image to 3D API

> त्वरित image-to-3D, जो एक फ्रंट-व्यू इमेज से मॉडल बनाता है और वैकल्पिक PBR या बिना टेक्सचर वाला मेश प्रदान करता है

एकल फ्रंट-व्यू इमेज (`input_image_url`, 128 से 5000 px, अधिकतम 8MB, JPG, PNG या WEBP) से 3D मॉडल बनाता है। सरल बैकग्राउंड और फ़्रेम के आधे से अधिक हिस्से में मौजूद एकल ऑब्जेक्ट के साथ यह सबसे अच्छा काम करता है। `enable_pbr` मेटैलिक, रफ़नेस और नॉर्मल टेक्सचर जोड़ता है, जबकि `enable_geometry` बिना टेक्सचर वाला सफेद मॉडल GLB के रूप में लौटाता है। आउटपुट में मॉडल, प्रत्येक फ़ॉर्मैट के URL, टेक्सचर, MTL फ़ाइल और थंबनेल शामिल हैं।

- Model id: `hunyuan-3d/v3.1/rapid/image-to-3d`
- Made by: Tencent
- Category: Image to 3D
- Output: 3d
- Price: from $0.225 / request (cheapest run $0.225 (225 API credits))
- Run: `POST https://api.doitong.ru/v1/run/hunyuan-3d/v3.1/rapid/image-to-3d`
- Quote: `POST https://api.doitong.ru/v1/quote/hunyuan-3d/v3.1/rapid/image-to-3d`
- Docs page: https://doitong.com/hi/developers/models/hunyuan-3d/v3.1/rapid/image-to-3d

## Pricing

Price: **from $0.225 / 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 `enable_pbr` = true: $0.375 (375 API credits) / request

The full example input below costs $0.225 = 225 API credits (1 request × 225 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/rapid/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 |  |  | URL के माध्यम से सामने से लिया गया इमेज दें; ऐसी सरल पृष्ठभूमि अनुशंसित है जिसमें एक वस्तु फ़्रेम के 50% से अधिक हिस्से को ढकती हो। 128 से 5000px के बीच रिज़ॉल्यूशन वाला JPG, PNG या WEBP उपयोग करें, जिसकी फ़ाइल आकार सीमा 8 MB है; base64 एन्कोडिंग के लिए 6 MB या कम अनुशंसित है। |
| `enable_pbr` |  | boolean | no | `false` |  | PBR निर्माण टॉगल, enable_geometry के True होने पर निष्क्रिय रहता है। अन्यथा, इसे सक्षम करने पर निर्मित सामग्री में मेटैलिक, रफ़नेस और नॉर्मल टेक्स्चर जुड़ते हैं। |
| `enable_geometry` |  | boolean | no | `false` |  | केवल-ज्यामिति निर्माण टॉगल, जो OBJ समर्थन अक्षम करता है, आउटपुट को डिफ़ॉल्ट रूप से GLB बनाता है और सक्षम होने पर enable_pbr को अनदेखा करता है। परिणामी मॉडल सफ़ेद होता है और इसमें कोई टेक्स्चर नहीं होता। |

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"
}
```

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/rapid/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/rapid/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/rapid/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/rapid/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/rapid/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": 225,
    "usd": "0.225",
    "charged": 225,
    "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
    },
    "material_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
    },
    "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
      }
    }
  },
  "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} \| null | निर्मित 3D मॉडल वाली फ़ाइल; उपलब्ध होने पर GLB और अन्यथा OBJ का उपयोग करती है। |
| `material_mtl` | object {url, content_type, file_name, file_size} \| null | OBJ मॉडल की सामग्री वाली MTL फ़ाइल। |
| `texture` | object {url, content_type, file_name, file_size} \| null | 3D मॉडल का टेक्स्चर प्रदान करने वाला इमेज। |
| `thumbnail` | object {url, content_type, file_name, file_size} \| null | निर्मित मॉडल का प्रीव्यू दिखाने वाला थंबनेल। |
| `model_urls` | object {glb, fbx, obj, mtl, texture, usdz} | विभिन्न फ़ॉर्मैट में 3D मॉडल के लिंक। |

## 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](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/rapid/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/rapid/image-to-3d
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/hunyuan-3d/v3.1/rapid/image-to-3d