# Meshy V7 Image to 3D API

> 將單張影像轉為 3D 網格，提供 2k 幾何選項，以及選用的 PBR、綁定骨架和動畫

從 `image_url` 中的一張影像建立 3D 模型（JPG、PNG、AVIF 或 HEIF）。`model_type` 可選 standard、lowpoly 或 smart-topology，`target_polycount` 接受 100 至 300000。`geometry_resolution` 提供 standard 或 2k。可透過 `should_texture` 關閉貼圖，PBR 貼圖、姿勢模式、人形綁定骨架及動畫預設皆為選用項目。

- Model id: `meshy/v7/image-to-3d`
- Made by: Meshy
- Category: Image to 3D
- Output: 3d
- Price per run: from $0.80 / run (cheapest run $0.80 (800 API credits))
- Run: `POST https://api.doitong.ru/v1/run/meshy/v7/image-to-3d`
- Quote: `POST https://api.doitong.ru/v1/quote/meshy/v7/image-to-3d`
- Docs page: https://doitong.com/zh-TW/developers/models/meshy/v7/image-to-3d

## Pricing

Price: **from $0.80 / run** (the lowest tier; the quote prices your exact input). 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 $1.20 = 1200 API credits (1 run × $1.20).

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/meshy/v7/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

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 |  |  | 透過 URL 或 base64 資料 URI 提供 3D 建立所需的來源圖像，格式使用 .jpg、.jpeg、.png、AVIF 或 HEIF。AVIF 和 HEIF 輸入會自動轉換。 |
| `model_type` |  | enum (string) | no | `standard` | `standard`, `lowpoly`, `smart-topology` | 3D 網格模式：選擇 'lowpoly' 以取得針對更乾淨多邊形最佳化的低多邊形結果；在此模式中 Meshy 會忽略 topology、target_polycount 和 should_remesh。若要取得傳統的高細節結果，請選擇 'standard'；或選擇 'smart-topology'，使用 Meshy-T2 並從一開始分別生成乾淨部件。 |
| `topology` |  | enum (string) | no | `triangle` | `quad`, `triangle` | 模型拓撲選項：Triangle 提供幾何細節，Quad 提供表面平滑度。 |
| `target_polycount` |  | integer | no | `30000` | 100 – 300,000 | 多邊形數量目標；當 model_type 為 'smart-topology' 時上限為 15,000。在該模式中省略目標值會選取 Meshy 較低的預設值 4,000。 |
| `symmetry_mode` |  | enum (string) | no | `auto` | `off`, `auto`, `on` | 選擇模型生成是否使用 On 強制對稱、使用 Off 不套用對稱，或使用 Auto 自動決定。 |
| `should_remesh` |  | boolean | no | `true` |  | 啟用或停用重新網格化階段。 |
| `should_texture` |  | boolean | no | `true` |  | 啟用或停用紋理生成。 |
| `enable_pbr` |  | boolean | no | `false` |  | 在基礎色旁新增金屬、粗糙度和法線 PBR 貼圖。 |
| `is_a_t_pose` |  | boolean | no | `false` |  | 由 true 啟用的 T-pose 生成開關；已棄用，請改用 pose_mode。 |
| `pose_mode` |  | enum (string) | no | `` | `a-pose`, `t-pose`, `` | 將字串留空以不指定生成模型的姿勢，或使用 'a-pose' 要求 A-pose，使用 't-pose' 要求 T-pose。 |
| `texture_prompt` |  | string \| null | no |  | ≤ 600 characters | 引導紋理生成的文字指示。 |
| `texture_image_url` |  | string (image URL) \| null | no |  |  | 引導紋理生成的 2D 參考圖像。 |
| `enable_rigging` |  | boolean | no | `false` |  | 自動人形骨架套用，最適合四肢清楚可辨的人形模型。啟用後會為生成模型套用骨架，並提供走路和跑步的基本動畫。 |
| `rigging_height_meters` |  | number | no | `1.7` | > 0 | 當 enable_rigging 為 true 時，提供以公尺為單位的預估角色高度；否則此值不會產生作用。 |
| `enable_animation` |  | boolean | no | `false` |  | 是否為已套用骨架的模型加入預設動畫；需要 enable_rigging 為 true。 |
| `animation_action_id` |  | integer | no | `92` |  | Meshy 程式庫動畫預設值 ID，可用動作列於 https://docs.meshy.ai/en/api/animation-library。僅在 enable_animation 為 true 時驗證並使用：超出 [0, 696] 的值會以 422 拒絕，且 "Idle" 對應 `0`。 |
| `enable_safety_checker` |  | boolean | no | `true` |  | 前處理安全檢查開關：true 會將輸入安全檢查設為處理的必要條件。 |
| `geometry_resolution` |  | enum (string) \| null | no |  | `standard`, `2k` | 網格幾何體解析度；支援的 Meshy-7 選項為 standard 和 2k。 |
| `ultra_mode` |  | boolean | no | `false` |  | 已棄用的選項，由 geometry_resolution 取代；若兩者皆提供，geometry_resolution 優先。請改用 geometry_resolution='2k'。 |

File parameters (`image`, `texture_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
{
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "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/meshy/v7/image-to-3d?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"
  }'

# 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/meshy/v7/image-to-3d?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "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 = {
    "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/meshy/v7/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": "meshy/v7/image-to-3d",
      "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": "meshy/v7/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": 1200,
    "usd": "1.20",
    "charged": 1200,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "animation_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
    },
    "animation_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
    },
    "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
      },
      "blend": {
        "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
      },
      "stl": {
        "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_urls": [
      {
        "base_color": {
          "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
        },
        "metallic": {
          "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
        },
        "normal": {
          "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
        },
        "roughness": {
          "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,
    "rigged_character_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
    },
    "rigged_character_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
    },
    "basic_animations": {
      "walking_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
      },
      "walking_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
      },
      "walking_armature_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
      },
      "running_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
      },
      "running_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
      },
      "running_armature_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
      }
    },
    "rig_task_id": "string"
  },
  "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 |
|---|---|---|
| `animation_glb` | object {url, content_type, file_name, file_size} \| null | 包含 GLB 3D 模型的動畫結果；除非 enable_animation 為 true，否則回應會省略此結果。 |
| `animation_fbx` | object {url, content_type, file_name, file_size} \| null | 包含 FBX 3D 模型的動畫結果；除非 enable_animation 為 true，否則回應會省略此結果。 |
| `model_glb` | object {url, content_type, file_name, file_size} | 包含生成 3D 物件的 GLB 檔案。 |
| `thumbnail` | object {url, content_type, file_name, file_size} \| null | 顯示生成模型預覽的縮圖。 |
| `model_urls` | object {glb, fbx, obj, usdz, blend, stl} | 各種格式的 3D 模型連結。 |
| `texture_urls` | array of object {base_color, metallic, normal, roughness} | 依 Meshy API 結構排列的陣列紋理檔案物件。 |
| `seed` | integer \| null | 可用時提供的生成種子。 |
| `rigged_character_glb` | object {url, content_type, file_name, file_size} \| null | 以 GLB 角色檔案提供的骨架套用結果；除非 enable_rigging 為 true，否則不會出現在回應中。 |
| `rigged_character_fbx` | object {url, content_type, file_name, file_size} \| null | 以 FBX 角色檔案提供的骨架套用結果；除非 enable_rigging 為 true，否則不會出現在回應中。 |
| `basic_animations` | object {walking_glb, walking_fbx, walking_armature_glb, running_glb, running_fbx, running_armature_glb} \| null | 基本走路和跑步動畫，僅在 enable_rigging 為 true 時包含。 |
| `rig_task_id` | string \| null | 骨架套用工作的識別碼；僅在 enable_rigging 為 true 時包含。 |

## Related models

- [Meshy V7 Multi Image to 3D](https://doitong.com/developers/models/meshy/v7/multi-image-to-3d.md) (`meshy/v7/multi-image-to-3d`): from $0.80 / run
- [Meshy V7 Text to 3D](https://doitong.com/developers/models/meshy/v7/text-to-3d.md) (`meshy/v7/text-to-3d`): from $0.80 / run
- [Meshy 7 Retexture](https://doitong.com/developers/models/meshy/v7/retexture.md) (`meshy/v7/retexture`): from $0.30 / request
- [Meshy 6 Preview · Image to 3D](https://doitong.com/developers/models/meshy/v6-preview/image-to-3d.md) (`meshy/v6-preview/image-to-3d`): from $0.80 / run
- [Meshy 6 · Image to 3D](https://doitong.com/developers/models/meshy/v6/image-to-3d.md) (`meshy/v6/image-to-3d`): from $0.80 / run
- [Meshy 7.1 Image to 3D](https://doitong.com/developers/models/meshy/v7.1/image-to-3d.md) (`meshy/v7.1/image-to-3d`): from $0.80 / run
- [Meshy 7.1 Multi Image to 3D](https://doitong.com/developers/models/meshy/v7.1/multi-image-to-3d.md) (`meshy/v7.1/multi-image-to-3d`): from $0.80 / run
- [Hi3D Image to 3D](https://doitong.com/developers/models/hitem3d/hi3d/image-to-3d.md) (`hitem3d/hi3d/image-to-3d`): $0.50 / run

## Links

- HTML page: https://doitong.com/developers/models/meshy/v7/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=meshy/v7/image-to-3d
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/meshy/v7/image-to-3d