# Meshy 6 Preview · Text to 3D API

> Meshy 6 Preview 文本转 3D，支持预览或完整纹理模式，以及可选的提示词扩展

根据最多 600 个字符的提示词生成 3D 模型。`mode`为 preview 时生成无纹理几何体，为 full 时生成带纹理模型。选项包括 `enable_prompt_expansion`、网格类型、拓扑、`target_polycount`（100 至 300000）、PBR 贴图、姿态模式，以及带动画预设的人形绑定骨骼。

- Model id: `meshy/v6-preview/text-to-3d`
- Made by: Meshy
- Category: Text to 3D
- Output: 3d
- Price: $0.80 / request (cheapest run $0.80 (800 API credits))
- Run: `POST https://api.doitong.ru/v1/run/meshy/v6-preview/text-to-3d`
- Quote: `POST https://api.doitong.ru/v1/quote/meshy/v6-preview/text-to-3d`
- Docs page: https://doitong.com/zh/developers/models/meshy/v6-preview/text-to-3d

## Pricing

Price: **$0.80 / request**. Billed once per request.

The full example input below costs $0.80 = 800 API credits (1 request × 800 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/meshy/v6-preview/text-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 |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  | ≤ 600 characters | 要表示为 3D 模型的对象描述，限制为 600 个字符。 |
| `mode` |  | enum (string) | no | `full` | `preview`, `full` | 生成模式：'preview' 输出无纹理几何体，'full' 通过结合 preview 和 refine 输出带纹理模型。 |
| `seed` |  | integer \| null | no |  |  | 将此种子与未更改的提示词结合使用，通常可复现之前的结果。 |
| `model_type` |  | enum (string) | no | `standard` | `standard`, `lowpoly`, `smart-topology` | 3D 网格模式：选择 'lowpoly' 可获得针对更整洁多边形优化的低多边形结果；在此模式下 Meshy 会忽略 topology、target_polycount 和 should_remesh。要获得常规高细节结果，请选择 'standard'；或选择 'smart-topology'，在几何体（preview）步骤中使用 Meshy-T2，从一开始分别生成整洁部件。 |
| `topology` |  | enum (string) | no | `triangle` | `quad`, `triangle` | 模型拓扑选项：Triangle 用于几何细节，Quad 用于表面平滑度。 |
| `target_polycount` |  | integer | no | `30000` | 100 – 300,000 | 多边形数量目标；当 model_type 为 'smart-topology' 时上限为 15,000。在该模式下省略目标值会选择 Meshy 较低的默认值 4,000。 |
| `should_remesh` |  | boolean | no | `true` |  | 将此项设为 false 可跳过重网格并接收原始三角网格；否则启用重网格阶段。 |
| `symmetry_mode` |  | enum (string) | no | `auto` | `off`, `auto`, `on` | 模型生成期间应用的对称设置。 |
| `enable_pbr` |  | boolean | no | `false` |  | 控制是否在基础色旁生成金属度、粗糙度和法线 PBR 贴图。 |
| `is_a_t_pose` |  | boolean | no | `false` |  | 设为 true 时启用 T-pose 生成；已弃用，改用 pose_mode。 |
| `pose_mode` |  | enum (string) | no | `` | `a-pose`, `t-pose`, `` | 将字符串留空表示不指定生成模型的姿势，或使用 'a-pose' 请求 A-pose，使用 't-pose' 请求 T-pose。 |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | 允许大语言模型使用细节丰富提示词。启用此扩展不会改变提示词的含义。 |
| `texture_prompt` |  | string \| null | no |  | ≤ 600 characters | 在 'full' 模式下使用额外文本提示词指导纹理生成；其他模式不会使用此项。 |
| `texture_image_url` |  | string (image URL) \| null | no |  |  | 用于纹理生成的 2D 参考图像，仅在 'full' 模式下应用。 |
| `enable_rigging` |  | boolean | no | `false` |  | 自动人形绑定骨骼，最适合四肢清晰可辨的人形模型。启用后会为生成的模型绑定骨骼，并提供基本的行走和跑步动画。 |
| `rigging_height_meters` |  | number | no | `1.7` | > 0 | 当 enable_rigging 为 true 时，以米为单位提供估计的角色高度；否则此值无效。 |
| `enable_animation` |  | boolean | no | `false` |  | 是否为已绑定骨骼的模型应用预设动画；需要 enable_rigging 为 true。 |
| `animation_action_id` |  | integer | no | `92` |  | Meshy 动画库预设 ID，可用动作列于 https://docs.meshy.ai/en/api/animation-library。仅当 enable_animation 为 true 时才会进行验证和使用：超出 [0, 696] 的值会以 422 拒绝，且 "Idle" 对应 `0`。 |
| `enable_safety_checker` |  | boolean | no | `true` |  | 预处理安全检查开关：true 表示必须先通过输入安全检查才能处理。 |

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

A fuller example:

```json
{
  "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/meshy/v6-preview/text-to-3d?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "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/meshy/v6-preview/text-to-3d?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "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 = {
    "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/meshy/v6-preview/text-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/v6-preview/text-to-3d",
      "input": {
        "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": "meshy/v6-preview/text-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": 800,
    "usd": "0.80",
    "charged": 800,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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,
    "prompt": "A rustic, antique wooden treasure chest with a curved, domed lid, constructed from weathered, dark brown planks exhibiting prominent wood grain and subtle distress. It's heavily reinforced with broad, dark grey, oxidized metal bands secured by numerous circular rivets. Ornate, dark iron decorative elements featuring swirling foliate patterns and dragon motifs adorn the corners and lid. A prominent, circular, intricately carved metal lock plate with a central keyhole dominates the front, flanked by two large, dark metallic pull rings.",
    "actual_prompt": "string",
    "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 模型的动画结果；除非 enable_animation 为 true，否则响应不会包含此结果。 |
| `animation_fbx` | object {url, content_type, file_name, file_size} \| null | 包含 FBX 3D 模型的动画结果；除非 enable_animation 为 true，否则响应不会包含此结果。 |
| `model_glb` | object {url, content_type, file_name, file_size} | 包含生成 3D 对象的 GLB 文件。 |
| `thumbnail` | object {url, content_type, file_name, file_size} \| null | 显示生成模型预览的缩略图。 |
| `model_urls` | object {glb, fbx, obj, usdz, blend, stl} | 指向各种格式 3D 模型的链接。 |
| `texture_urls` | array of object {base_color, metallic, normal, roughness} | 以对象数组表示的纹理文件。 |
| `seed` | integer \| null | 生成过程中使用的种子值。 |
| `prompt` | string | 用于生成的文本提示词。 |
| `actual_prompt` | string \| null | 启用提示词扩展后实际应用于生成的提示词。 |
| `rigged_character_glb` | object {url, content_type, file_name, file_size} \| null | 以 GLB 角色文件返回的绑定骨骼结果；除非 enable_rigging 为 true，否则不会出现在响应中。 |
| `rigged_character_fbx` | object {url, content_type, file_name, file_size} \| null | 以 FBX 角色文件返回的绑定骨骼结果；除非 enable_rigging 为 true，否则不会出现在响应中。 |
| `basic_animations` | object {walking_glb, walking_fbx, walking_armature_glb, running_glb, running_fbx, running_armature_glb} \| null | 基本行走和跑步动画，仅在 enable_rigging 为 true 时包含。 |
| `rig_task_id` | string \| null | 绑定骨骼任务的标识符；仅在 enable_rigging 为 true 时包含。 |

## Related models

- [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 · Text to 3D](https://doitong.com/developers/models/meshy/v6/text-to-3d.md) (`meshy/v6/text-to-3d`): $0.80 / request
- [Meshy 7.1 Text to 3D](https://doitong.com/developers/models/meshy/v7.1/text-to-3d.md) (`meshy/v7.1/text-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
- [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 Motion \[0.46B\]](https://doitong.com/developers/models/hunyuan-motion/fast.md) (`hunyuan-motion/fast`): $0.06 / request
- [Hunyuan Motion \[1B\]](https://doitong.com/developers/models/hunyuan-motion.md) (`hunyuan-motion`): $0.08 / request

## Links

- HTML page: https://doitong.com/developers/models/meshy/v6-preview/text-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/v6-preview/text-to-3d
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/meshy/v6-preview/text-to-3d