# Tripo H3.1 Text to 3D API

> טעקסט־צו־3D־מעש־גענעראַטאָר מיט נעגאַטיוון פּראָמפּט, באַזונדערע געאָמעטריע־און טעקסטור־קוואַליטעט־שטאַפּלען און אַ זייער הויך פֿעיס־גרענעץ

בויט אַ 3D־מאָדעל פֿון אַ טעקסט־באַשרײַבונג ביז 1024 אותיות, מיט אַן אַפּשאַנאַל `negative_prompt` פֿאַר פֿעיִקייטן וואָס מען זאָל אויסמײַדן. `face_limit` נעמט 1,000 ביז 2,000,000 פֿעיס. `geometry_quality` און `texture_quality` קענען יעדע זײַן standard אָדער detailed. אָפּציעס אַרײַננעמען PBR־מאַטעריאַלן, קוואַד־טאָפּאָלאָגיע, אויטאָמאַטישן סקיילינג צו דער רעאַלער גרייס, און באַזונדערע סעעדס פֿאַר געאָמעטריע, דעם טעקסט־צו־בילד־טריט און טעקסטור.

- Model id: `tripo3d/h3.1/text-to-3d`
- Made by: Tripo
- Category: Text to 3D
- Output: 3d
- Price per run: from $0.10 / run (cheapest run $0.10 (100 API credits))
- Run: `POST https://api.doitong.ru/v1/run/tripo3d/h3.1/text-to-3d`
- Quote: `POST https://api.doitong.ru/v1/quote/tripo3d/h3.1/text-to-3d`
- Docs page: https://doitong.com/yi/developers/models/tripo3d/h3.1/text-to-3d

## Pricing

Price: **from $0.10 / 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 $0.20 = 200 API credits (1 run × $0.20).

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/tripo3d/h3.1/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 |  | ≤ 1024 characters | טעקסט־באַשרײַבונג פֿונעם געוואונטשן 3D אָביעקט, באַגרענעצט צו 1024 אותיות. |
| `negative_prompt` |  | string \| null | no |  | ≤ 1024 characters | באַשרײַבונג פֿון פֿעיִקייטן וואָס זאָלן אויסגעשלאָסן ווערן פֿונעם גענערירטן מאָדעל. |
| `face_limit` |  | integer \| null | no |  | 1,000 – 2,000,000 | עקספּליציטער ציל פֿאַר פֿאַס־צאָל בײַם שאַפֿן דעם מעש, וואָס איבעררײַסט דעם מאָדעלס אַדאַפּטיוון צאָל־אויסקלײַב ווען צוגעשטעלט. |
| `texture` |  | boolean | no | `true` |  | קאָנטראָלירט צי דער מאָדעל באַקומען גענערירטע געוועבן. |
| `pbr` |  | boolean | no | `true` |  | אַקטיווירט PBR מאַטעריאַלן (Physically Based Rendering), וואָס אַקטיווירט אויך טעקסטור־גענערירונג ווען דער ווערט איז true. |
| `model_seed` |  | integer \| null | no |  |  | סיד גענוצט צו מאַכן דזשיאַמאַטריע־גענערירונג רעפּראָדוצירבאַר. |
| `image_seed` |  | integer \| null | no |  |  | סיד גענוצט בעת דער text-to-image בינע. |
| `texture_seed` |  | integer \| null | no |  |  | סיד גענוצט צו מאַכן טעקסטור־גענערירונג רעפּראָדוצירבאַר. |
| `texture_quality` |  | enum (string) | no | `standard` | `standard`, `detailed` | טעקסטור־קוואַליטעט־באַשטעטיקונג; אויסקלייבן 'detailed' פֿאַר העכערע טעקסטור־רעזאָלוציע. |
| `geometry_quality` |  | enum (string) | no | `standard` | `standard`, `detailed` | קוואַליטעט־באַשטעטיקונג פֿאַר דער דזשיאַמאַטריע. |
| `auto_size` |  | boolean | no | `false` |  | אָטאָמאַטישע סקאַלירונג צו געבן דעם מאָדעל רעאַלע דימענסיעס געמאסטן אין מעטער. |
| `quad` |  | boolean | no | `false` |  | קלײַבט צווישן דרײַעקיקע פֿעדער און קוואַדראַטן מיט 4 זײַטן דורך אַקטיווירן קוואַד־טאָפּאָלאָגיע. פֿאַר קוואַד־רעזולטאַטן ווערט אַ FBX פֿײַל צוריקגעגעבן ווען Tripo גיט די דאַטן ווי FBX־בײַטס. |
| `enable_safety_checker` |  | boolean | no | `true` |  | סקרינינג קען ווערן פאַרלייכטערט דורך שטעלן false, אויב דער רופער איז אָטעריזירט. |

## 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/tripo3d/h3.1/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/tripo3d/h3.1/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/tripo3d/h3.1/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": "tripo3d/h3.1/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": "tripo3d/h3.1/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": 200,
    "usd": "0.20",
    "charged": 200,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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
    },
    "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
      },
      "base_model": {
        "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
      },
      "pbr_model": {
        "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
      }
    },
    "rendered_image": {
      "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
    },
    "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 |
|---|---|---|
| `model_mesh` | object {url, content_type, file_name, file_size} | GLB אָדער FBX פֿײַל מיטן גענערירטן 3D מאָדעל; דער פֿאָרמאַט ווערט באַשטימט לויט דעם וואָס Tripo פּראָדוצירט. |
| `model_urls` | object {glb, fbx, base_model, pbr_model} | URL־ס וואָס ווײַזן אויף אַלטערנאַטיווע ווערסיעס פֿונעם 3D מאָדעל. |
| `rendered_image` | object {url, content_type, file_name, file_size} \| null | רענדערטער פאָרויסקוק מיטן גענערירטן 3D מאָדעל. |
| `task_id` | string \| null | ווידערניצבאַרער Tripo task ID וואָס אידענטיפיצירט דעם גענערירטן מאָדעל פֿאַר rig אָדער rig-check, און דערמעגלעכט די אָפּעראַציעס אָן אַן אַנדערן מאָדעל־אויפֿלאָד. |

## Related models

- [Tripo H3.1 Image to 3D](https://doitong.com/developers/models/tripo3d/h3.1/image-to-3d.md) (`tripo3d/h3.1/image-to-3d`): from $0.20 / run
- [Tripo H3.1 Multiview to 3D](https://doitong.com/developers/models/tripo3d/h3.1/multiview-to-3d.md) (`tripo3d/h3.1/multiview-to-3d`): from $0.20 / run
- [Tripo P1 Text to 3D](https://doitong.com/developers/models/tripo3d/p1/text-to-3d.md) (`tripo3d/p1/text-to-3d`): $1.10 / run
- [Tripo P2 Text to 3D](https://doitong.com/developers/models/tripo3d/p2/text-to-3d.md) (`tripo3d/p2/text-to-3d`): from $1.00 / 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/tripo3d/h3.1/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=tripo3d/h3.1/text-to-3d
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/tripo3d/h3.1/text-to-3d