# Hi3D Texture API

> حوالہ جاتی تصویر استعمال کرتے ہوئے بغیر ٹیکسچر والی GLB میش پر ٹیکسچر لگاتا ہے

حوالہ جاتی تصویر (PNG، JPEG یا WebP، زیادہ سے زیادہ 20MB) کی رہنمائی میں موجودہ صرف جیومیٹری والی GLB پر ٹیکسچر لگاتا ہے۔ صرف v1.5 ماڈلز معاونت یافتہ ہیں: hitem3dv1.5 میں 512 سے 1536pro تک ریزولوشن ہیں، جبکہ پورٹریٹ ورژن 1536 استعمال کرتا ہے۔ برآمدی فارمیٹس glb، obj، stl، fbx اور usdz ہیں۔

- Model id: `hitem3d/hi3d/texture`
- Made by: Hitem3D
- Category: 3D
- Output: 3d
- Estimated price per run: $0.30 / run (cheapest run $0.30 (300 API credits))
- Run: `POST https://api.doitong.com/v1/run/hitem3d/hi3d/texture`
- Quote: `POST https://api.doitong.com/v1/quote/hitem3d/hi3d/texture`
- Docs page: https://doitong.com/ur/developers/models/hitem3d/hi3d/texture

## Pricing

Price: **$0.30 / run**. Estimated from the typical cost of one run. The quote is exactly what the run charges.

The full example input below costs $0.30 = 300 API credits (1 request × 300 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.com/v1/quote/hitem3d/hi3d/texture` 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

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | Texturing reference URL کے ذریعے فراہم کریں، PNG، JPEG یا WebP تصویر استعمال کریں؛ زیادہ سے زیادہ فائل سائز 20 MB ہے۔ |
| `mesh_url` |  | string | yes |  |  | Texture لگانے کے لیے geometry URL کے ذریعے GLB format میں فراہم کریں؛ کوئی دوسرا format سپورٹ نہیں ہوتا۔ ایک موزوں ماخذ enable_texture=false کے ساتھ تخلیق کردہ image-to-3d geometry آؤٹ پٹ ہے۔ |
| `model` |  | enum (string) | no | `hitem3dv1.5` | `hitem3dv1.5`, `scene-portraitv1.5` | Texturing کے لیے استعمال ہونے والے ماڈل کا version۔ Staged texture task کے لیے v1.5 ماڈل ضروری ہے۔ |
| `resolution` |  | enum (string) \| null | no |  | `512`, `1024`, `1536`, `1536pro` | Texture ریزولوشن منتخب کریں یا اسے خالی چھوڑ کر ماڈل کی recommendation استعمال کریں۔ scene-portraitv1.5 کے لیے واحد انتخاب 1536 ہے، جبکہ hitem3dv1.5، 512، 1024، 1536 اور 1536pro سپورٹ کرتا ہے۔ |
| `export_format` |  | enum (string) | no | `glb` | `glb`, `obj`, `stl`, `fbx`, `usdz` | تخلیق کردہ ماڈل محفوظ کرنے کے لیے استعمال ہونے والا format۔ |
| `enable_safety_checker` |  | boolean | no | `true` |  | ان پٹ تصاویر کے لیے safety screening toggle: true ہونے پر تصویر processing شروع ہونے سے پہلے safety check ضروری ہے۔ |

File parameters (`image`) 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
{
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "mesh_url": "https://example.com/your-file.glb"
}
```

A fuller example:

```json
{
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "mesh_url": "https://example.com/your-file.glb"
}
```

## 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.com/v1/run/hitem3d/hi3d/texture?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mesh_url": "https://example.com/your-file.glb"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/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/hitem3d/hi3d/texture?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mesh_url": "https://example.com/your-file.glb"
  }),
});
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.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mesh_url": "https://example.com/your-file.glb",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/hitem3d/hi3d/texture", 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.com/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": "hitem3d/hi3d/texture",
      "input": {
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "mesh_url": "https://example.com/your-file.glb"
      },
      "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": "hitem3d/hi3d/texture",
  "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": 300,
    "usd": "0.30",
    "charged": 300,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "mesh_url": "https://example.com/your-file.glb"
  },
  "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
    },
    "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
    }
  },
  "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `model_mesh` | object {url, content_type, file_name, file_size} | تخلیق کردہ 3D ماڈل پر مشتمل فائل۔ |
| `thumbnail` | object {url, content_type, file_name, file_size} \| null | ماڈل کی preview تصویر، دستیاب ہونے پر فراہم کی جاتی ہے۔ |

## Related models

- [Hi3D Image to Relief](https://doitong.com/developers/models/hitem3d/hi3d/image-to-relief.md) (`hitem3d/hi3d/image-to-relief`): $0.20 / run
- [Hi3D Image to 3D](https://doitong.com/developers/models/hitem3d/hi3d/image-to-3d.md) (`hitem3d/hi3d/image-to-3d`): $0.50 / run
- [Hi3D Multiview to 3D · Multi View to 3D](https://doitong.com/developers/models/hitem3d/hi3d/multi-view-to-3d.md) (`hitem3d/hi3d/multi-view-to-3d`): $0.50 / run
- [Hi3D 3D Part Splitter](https://doitong.com/developers/models/hitem3d/hi3d/split.md) (`hitem3d/hi3d/split`): $0.40 / run
- [Hi3D 3D to Multicolor](https://doitong.com/developers/models/hitem3d/hi3d/multicolor.md) (`hitem3d/hi3d/multicolor`): $0.40 / run
- [Abot World 0](https://doitong.com/developers/models/alibaba/abot-world-0.md) (`alibaba/abot-world-0`): $0.001 / 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

## Links

- HTML page: https://doitong.com/developers/models/hitem3d/hi3d/texture
- 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=hitem3d/hi3d/texture
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/hitem3d/hi3d/texture