# Tripo H3.1 Text to 3D API

> Teksto pavertimo 3D tinkleliu generatorius su neigiama užklausa, atskirais geometrijos ir tekstūros kokybės lygiais bei labai aukšta paviršių riba

Sukuria 3D modelį iš iki 1024 simbolių tekstinio aprašo, su pasirenkamu `negative_prompt`, nurodančiu vengtinas savybes. `face_limit` priima nuo 1,000 iki 2,000,000 paviršių. `geometry_quality` ir `texture_quality` gali būti standard arba detailed. Parinktys apima PBR medžiagas, keturkampę topologiją, automatinį mastelio pritaikymą realiam dydžiui ir atskirus geometrijos, teksto į vaizdą etapo bei tekstūros pradus.

- 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/lt/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 | Norimo 3D objekto tekstinis aprašas, apribotas iki 1024 simbolių. |
| `negative_prompt` |  | string \| null | no |  | ≤ 1024 characters | Savybių, kurios turėtų būti pašalintos iš sugeneruoto modelio, aprašas. |
| `face_limit` |  | integer \| null | no |  | 1,000 – 2,000,000 | Aiškiai nurodytas tinklelio generavimo paviršių skaičiaus tikslas, kuris, pateiktas, pakeičia adaptyvų modelio skaičiaus pasirinkimą. |
| `texture` |  | boolean | no | `true` |  | Nurodo, ar modelis gauna sugeneruotas tekstūras. |
| `pbr` |  | boolean | no | `true` |  | Įjungia PBR medžiagas (Physically Based Rendering), o įjungus taip pat aktyvinamas tekstūrų generavimas. |
| `model_seed` |  | integer \| null | no |  |  | Sėkla, naudojama geometrijos generavimo atkuriamumui užtikrinti. |
| `image_seed` |  | integer \| null | no |  |  | Sėkla, naudojama teksto į vaizdą etape. |
| `texture_seed` |  | integer \| null | no |  |  | Sėkla, naudojama tekstūrų generavimo atkuriamumui užtikrinti. |
| `texture_quality` |  | enum (string) | no | `standard` | `standard`, `detailed` | Tekstūros kokybės nustatymas; pasirinkus 'detailed', padidinama tekstūros raiška. |
| `geometry_quality` |  | enum (string) | no | `standard` | `standard`, `detailed` | Geometrijos kokybės nustatymas. |
| `auto_size` |  | boolean | no | `false` |  | Automatinis mastelio keitimas, kad modeliui būtų suteikti metrais išmatuoti realaus pasaulio matmenys. |
| `quad` |  | boolean | no | `false` |  | Pasirinkite trikampius paviršius arba keturkampius, įjungdami quad topologiją. Keturkampių rezultatų atveju grąžinamas FBX failas, kai Tripo pateikia duomenis kaip FBX baitus. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Patikrą galima sušvelninti nustačius false, jei skambinantysis turi teisę tai daryti. |

## 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 arba FBX failas su sugeneruotu 3D modeliu; formatą nustato tai, ką sugeneruoja Tripo. |
| `model_urls` | object {glb, fbx, base_model, pbr_model} | URL, nurodantys alternatyvias 3D modelio versijas. |
| `rendered_image` | object {url, content_type, file_name, file_size} \| null | Sugeneruoto 3D modelio atvaizduota peržiūra. |
| `task_id` | string \| null | Pakartotinai naudojamas Tripo užduoties ID, identifikuojantis sugeneruotą modelį rig arba rig-check operacijoms ir leidžiantis jas atlikti dar kartą neįkeliant modelio. |

## 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