# Meshy V7 Text to 3D API

> Meshy 7 ᡳ ᡥᡡᠯᡥᡝᠨ ᡩᡝᠷᡝ 3D᠂ preview ᠪᡝ full ᡤᡝᠪᡠ᠂ 2k ᡤᡝᠣᠮᡝᠯᡝᠨ᠂ PBR᠂ ᡥᡡᠯᡥᡝᠨ ᡳ ᡤᡝᠪᡠ ᠪᡝ ᡠᠯᡥᡳᠨ ᠵᡠᠯᡝᡵᡳ

600 ᡥᡝᠵᡝᠨ ᡳ ᡠᠯᡥᡳ `prompt` ᡩᡝᠷᡝ 3D ᡤᡝᠣᠮᡝᠯᡝᠨ ᡤᡝᠨᡝᠮᡝ ᠪᡳᠮᠪᡳ᠂ `enable_prompt_expansion` ᠪᡝ ᡠᠯᡥᡳᠨ ᠪᡳᠮᠪᡳ᠉ `mode` ᡠᠨᡩᡝᠨᡳ ᡤᡝᠣᠮᡝᠯᡝᠨ ᠪᡝ ᡩᠣᠰᡳᡴᠠᠨ ᠪᡝ ᡤᡝᠣᠮᡝᠯᡝᠨ ᠵᡠᠯᡝᡵᡳ ᠪᡳᠮᠪᡳ᠉ `model_type` ᡳ ᠵᡠᠶᡝᠨ standard᠂ lowpoly ᠪᡝ smart-topology᠂ `target_polycount` 100 ᡩᡡᡵᡝ 300000 ᡩᡝ᠂ `geometry_resolution` standard ᠪᡝ 2k ᠪᡳ᠉ ᡥᡡᠯᡥᡝᠨ ᡩᠣᡵᡤᡳ ᡥᡡᠯᡥᡝᠨ ᡳ ᡤᡝᠪᡠ ᠪᡝ ᡤᡝᠪᡠ ᠵᡠᠯᡝᡵᡳ ᠪᡳᠮᠪᡳ᠉

- Model id: `meshy/v7/text-to-3d`
- Made by: Meshy
- Category: Text to 3D
- Output: 3d
- Price per run: from $0.80 / run (cheapest run $0.80 (800 API credits))
- Run: `POST https://api.doitong.com/v1/run/meshy/v7/text-to-3d`
- Quote: `POST https://api.doitong.com/v1/quote/meshy/v7/text-to-3d`
- Docs page: https://doitong.com/mnc/developers/models/meshy/v7/text-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.com/v1/quote/meshy/v7/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 | 3D ᠮᠣᠳᡝᠯ ᡩᡝ ᠵᡠᠯᡝ ᠵᠠᠯᡳᠨ ᡳ ᡥᡡᠯᠠᠨ, 600 ᡥᠠᠨ ᡩᡝ ᠵᡠᠯᡝ᠈ |
| `mode` |  | enum (string) | no | `full` | `preview`, `full` | ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᡠᠯᡝ: 'preview' ᠪᡝ ᠮᡝᡵᡤᡝᠨ ᡩᡝ ᠣᠮᡳ ᠵᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᡝ, 'full' ᠪᡝ preview ᠠᠮᡠᠯᠠ refine ᠵᡳᠯᡤᠠᠨ ᠵᡠᠯᡝ ᠮᠣᠳᡝᠯ ᠪᡠᠶᡝᡵᡝᠮᠪᡳ᠈ |
| `seed` |  | integer \| null | no |  |  | ᡝᡵᡝ ᠰᡳᠨᡩᠠᠨ ᠪᡝ ᠵᡠᠯᡝ ᡥᡡᠯᠠᠨ ᠠᠮᡠᠯᠠ ᠪᡳᠮᠪᡳ ᠣᠴᡳ ᠵᡠᠯᡝᠨ ᠪᡠᠶᡝᠮᡝ ᠵᡳᠯᡤᠠᠨ ᠪᡳᠮᠪᡳ᠈ |
| `model_type` |  | enum (string) | no | `standard` | `standard`, `lowpoly`, `smart-topology` | 3D mesh ᠵᡠᠯᡝ: 'lowpoly' ᠪᡝ ᠵᡠᠯᡝᠮᡝ ᠨᡳᠶᠠᠯᠮᠠ ᠵᠠᠯᡳᠨ ᠪᡠᠶᡝᠮᡝ; Meshy ᡝᡵᡝ ᠵᡠᠯᡝ topology, target_polycount ᠠᠮᡠᠯᠠ should_remesh ᡩᡝ ᠣᠮᡳ; ᠵᡠᠯᡝᠨ ᠵᠠᠯᡳᠨ ᠪᡝ 'standard' ᠠᠮᡠᠯᠠ 'smart-topology' ᠪᡝ ᠵᡠᠯᡝ᠈ |
| `topology` |  | enum (string) | no | `triangle` | `quad`, `triangle` | ᠵᡠᠯᡝ ᠮᠣᠳᡝᠯ ᡳ ᠪᠠᠰᡝ Triangle ᠠᠮᡠᠯᠠ Quad ᡩᡝ ᠵᡠᠯᡝ᠈ |
| `target_polycount` |  | integer | no | `30000` | 100 – 300,000 | ᠵᡠᠯᡝᠨ ᡳ polygon ᠨᠠᠮᡠ; model_type ᠣᠴᡳ 'smart-topology' ᡩᡝ 15,000 ᡩᡝ ᠵᡠᠯᡝᠨ; ᡩᡝ ᠣᠮᡳ ᠣᠴᡳ Meshy ᡳ 4,000 ᠵᡠᠯᡝ ᠪᡳ᠈ |
| `should_remesh` |  | boolean | no | `true` |  | ᡝᡵᡝ ᠪᡝ false ᠪᡳᠮᠪᡳ ᠣᠴᡳ remeshing ᠪᡝ ᠣᠮᡳ ᠠᠮᡝ ᠰᠠᡳᠨ ᡩᠠᠯᡳᠮᡝᠨ ᠪᡝ ᠠᡵᠠᠮᠪᡳ᠈ |
| `symmetry_mode` |  | enum (string) | no | `auto` | `off`, `auto`, `on` | ᠮᠣᠳᡝᠯ ᠪᡠᠶᡝᠮᡝᠨ ᡩᡝ ᠵᡠᠯᡝ ᠪᡳ symmetry ᠵᡠᠯᡝᠨ᠈ |
| `enable_pbr` |  | boolean | no | `false` |  | ᠪᠠᠰᡝ ᠮᡝᡵᡤᡝᠨ ᡩᡝ metallic, roughness ᠠᠮᡠᠯᠠ normal PBR ᠮᡝᡵᡤᡝᠨ ᠪᡝ ᠪᡠᠶᡝᠮᡝ᠈ |
| `is_a_t_pose` |  | boolean | no | `false` |  | true ᠪᡝ ᠵᡠᠯᡝᠮᡝ T-pose ᠪᡠᠶᡝᠮᡝ; pose_mode ᡳ ᠣᠮᠣᠨ᠈ |
| `pose_mode` |  | enum (string) | no | `` | `a-pose`, `t-pose`, `` | ᠵᡠᠯᡝᠨ ᠪᡝ ᠣᠮᡳ ᠪᡝ ᡳᠨᡩᡝᡥᡝ ᠰᡳᠨᡩᠠᠨ; 'a-pose' ᠠᠮᡠᠯᠠ 't-pose' ᠪᡝ ᠪᡳᠰᡳᠨᡩᡝᠮᠪᡳ᠈ |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | ᠠᠮᠪᠠ ᠪᡠᠮᡝ ᡳ ᡥᡡᠯᠠᠨ ᠪᡝ ᠵᡠᠯᡝ ᠵᡠᠯᡝᠮᡝ᠉ |
| `texture_prompt` |  | string \| null | no |  | ≤ 600 characters | ᠵᡠᠯᡝ ᠮᡝᡵᡤᡝᠨ ᡩᡝ ᠵᡠᠯᡝᠨ ᡳ ᡥᡡᠯᠠᠨ ᠪᡝ ᠵᡳᠯᡤᠠᠨ; 'full' ᡩᡝ ᡝᠮᡠ ᠠᠮᡝ ᠪᡳ᠈ |
| `texture_image_url` |  | string (image URL) \| null | no |  |  | ᠵᡠᠯᡝ ᠮᡝᡵᡤᡝᠨ ᡳ 2D ᠵᡠᠯᡝ ᡤᠠᠳᠠᠨ, 'full' ᡩᡝ ᠵᡠᠯᡝᠮᡝ᠈ |
| `enable_rigging` |  | boolean | no | `false` |  | ᠠᠮᠠᡵᡤᡳ ᡶᡝᡵᡤᡠᠰᡠᠨ ᡳ ᠵᠠᠯᡳᠨ ᠵᡠᠯᡝ; ᠵᠠᠯᡳᠨ ᡳ ᠠᠯᡳᠨ ᠪᡳ ᠣᠴᡳ ᠶᠠᠪᡠᠮᡝ ᠠᠮᡠᠯᠠ ᠤᠨᡩᡝᠮᠪᡳ᠈ |
| `rigging_height_meters` |  | number | no | `1.7` | > 0 | enable_rigging ᠪᡳ ᠣᠴᡳ ᡶᡝᡵᠵᡳᠨ ᡳ ᠵᠠᠯᡳᠨ ᠮᡝᡨᡝᡵ ᠪᡝ ᠵᡠᠯᡝᠮᡝ ᠪᡳ᠈ |
| `enable_animation` |  | boolean | no | `false` |  | ᠵᠠᠯᡳᠨ ᡩᠠᠯᡳᠮᡝ ᠠᠨᡳᠮᠠᡨᡳᠣᠨ ᠪᡳ ᠣᠴᡳ enable_rigging ᠪᡝ true ᠪᡳᠮᠪᡳ᠈ |
| `animation_action_id` |  | integer | no | `92` |  | Meshy ᡳ ᠠᠨᡳᠮᠠᡨᡳᠣᠨ ᠨᠠᠮᡠ ᡳᡩᡝᠨᡨᡳᡶᡳᡠᠯ; ᠪᡳᠯᡝᠨ ᡳ ᠪᡠᠶᡝᠮᡝᠨ ᡩᡝ https://docs.meshy.ai/en/api/animation-library ᡩᡝ ᠪᡳ᠈ enable_animation ᠰᡠ ᡩᡝ ᠶᠠᠯᡳ ᠪᡳᠯᡝᠮᠪᡳ: [0, 696] ᡩᡝ ᡝᡵᡝᠮᡝ 422 ᡩᡝ ᠠᠯᡤᡳᠨᠠᠮᠪᡳ, "Idle" ᡩᡝ `0` ᠵᡳᠮᠪᡳ᠈ |
| `enable_safety_checker` |  | boolean | no | `true` |  | ᠪᡠᠶᡝᠮᡝ ᡳᠨᡩᡠᠨ ᡳ ᠠᠮᠠᠯᠠ ᠰᠠᡳᠯᠠᠮᠪᡳ: true ᠪᡝ ᡝᡵᡝᠮᡝ ᠠᠮᠠᠯᠠ ᠰᠠᡳᠯᠠᠮᠪᡳ᠈ |
| `geometry_resolution` |  | enum (string) \| null | no |  | `standard`, `2k` | ᠮᡝᠰᡥᡝᠨᡳ ᠵᠠᠯᠠᠨ; Meshy-7 ᠵᠠᠪᡠᠨ ᠪᡝ standard ᠵᠠᠩᡤᡳ 2k. |
| `ultra_mode` |  | boolean | no | `false` |  | ᠵᡠᠯᡝ ᠵᡠᠯᡝᠨ geometry_resolution ᡩᡝ ᠵᡠᠯᡝᠮᡝ ᠣᠮᡳ; ᡝᠯᡝ ᠵᡠᠯᡝ ᠪᡳ ᠣᠴᡳ geometry_resolution='2k' ᠪᡝ ᠵᡠᠯᡝ᠈ |

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.com/v1/run/meshy/v7/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.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/meshy/v7/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.com/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/v7/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.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": "meshy/v7/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/v7/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": 1200,
    "usd": "1.20",
    "charged": 1200,
    "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `animation_glb` | object {url, content_type, file_name, file_size} \| null | 3D ᠮᠣᠳᡝᠯ GLB ᠪᡝ ᠵᡠᠯᡝ ᡳ ᠠᠨᡳᠮᠠᡨᡳᠣᠨ ᠠᡵᠠᠮᠪᡳ; enable_animation ᠰᡠ ᡩᡝ ᠪᡳ ᠣᠴᡳ ᡝᡵᡝ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᡝᠮᡠ ᠠᠯᡳᠨ ᠪᡳ᠈ |
| `animation_fbx` | object {url, content_type, file_name, file_size} \| null | 3D ᠮᠣᠳᡝᠯ FBX ᠪᡝ ᠵᡠᠯᡝ ᡳ ᠠᠨᡳᠮᠠᡨᡳᠣᠨ ᠠᡵᠠᠮᠪᡳ; enable_animation ᠰᡠ ᡩᡝ ᠪᡳ ᠣᠴᡳ ᡝᡵᡝ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᡝᠮᡠ ᠠᠯᡳᠨ ᠪᡳ᠈ |
| `model_glb` | object {url, content_type, file_name, file_size} | ᠪᡠᠶᡝᠮᡝ ᡳ 3D ᠪᡝᠶᡝ ᠪᡝ ᠪᡠᠮᡝ GLB ᡶᡳᠯᡝ᠉ |
| `thumbnail` | object {url, content_type, file_name, file_size} \| null | ᠪᡠᠶᡝᠮᡝ ᡳ ᠮᠣᠳᡝᠯ ᡳ ᠵᡠᠯᡝ ᠪᡝ ᠵᠠᠯᠠᠨ᠉ |
| `model_urls` | object {glb, fbx, obj, usdz, blend, stl} | 3D ᠮᠣᠳᡝᠯ ᡳ ᡩᠠᠪᠠᠨ ᡩᡝᠨ ᡩᡝ ᠵᡠᠯᡝ ᠯᡳᠨᡴ᠉ |
| `texture_urls` | array of object {base_color, metallic, normal, roughness} | ᡝᠮᡠ ᠵᡠᠰᡠᠨ ᡩᡝ ᠵᡠᠯᡝᠮᡝ ᡥᠠᡩᠠᠨ ᡶᡳᠯᡝᠰᡝ᠈ |
| `seed` | integer \| null | ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠪᡠᠮᡝᠨᡳ ᠰᡝᡵᡝᠨᡳ ᠵᠠᡴᡠᠨ. |
| `prompt` | string | ᠪᡠᠶᡝᠮᡝᠨ ᡳ ᡥᡡᠯᠠᠨ ᠪᡠᠶᡝᠮᡝ᠈ |
| `actual_prompt` | string \| null | ᡥᡡᠯᠠᠨ expansion ᠵᡠᠯᡝᠮᡝ ᠪᡳ ᠣᠴᡳ ᠪᡠᠶᡝᠮᡝᠨ ᡩᡝ ᠵᡠᠯᡝᠮᡝ ᠪᡳ ᡥᡡᠯᠠᠨ᠈ |
| `rigged_character_glb` | object {url, content_type, file_name, file_size} \| null | ᠵᠠᠯᡳᠨ ᠵᡠᠯᡝᠮᡝ GLB ᡶᡝᡵᡤᡠᠰᡠᠨ; enable_rigging ᠰᡠ ᡩᡝ ᠪᡳ ᠣᠴᡳ ᡝᡵᡝ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠣᠮᡳ᠈ |
| `rigged_character_fbx` | object {url, content_type, file_name, file_size} \| null | ᠵᠠᠯᡳᠨ ᠵᡠᠯᡝᠮᡝ FBX ᡶᡝᡵᡤᡠᠰᡠᠨ; enable_rigging ᠰᡠ ᡩᡝ ᠪᡳ ᠣᠴᡳ ᡝᡵᡝ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠣᠮᡳ᠈ |
| `basic_animations` | object {walking_glb, walking_fbx, walking_armature_glb, running_glb, running_fbx, running_armature_glb} \| null | enable_rigging ᠰᡠ ᡩᡝ ᠪᡳ ᠣᠴᡳ ᠵᡠᠯᡝ ᠶᠠᠪᡠᠮᡝ ᠠᠮᡠᠯᠠ ᠪᡳᠮᠪᡳ᠈ |
| `rig_task_id` | string \| null | ᠵᠠᠯᡳᠨ ᠠᡵᠠᠮᡝᠨ ᡳ ᡩᠠᠯᡳᠮᡝᠨ; enable_rigging ᠰᡠ ᡩᡝ ᠪᡳ ᠣᠴᡳ ᠪᡳᠮᠪᡳ᠈ |

## Related models

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- [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

## Links

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