# Tripo H3.1 Text to 3D API

> Teksto-dži-3D mesh generatoro jek negativno promptosa, separatne geometry thaj tekstura kvalitetske tierura, thaj but baro face limit

Kerel 3D modelo andar teksto-deskripecija dži 1024 karakterura, opcionalne `negative_prompt`-esa vaś e feature save na kamen. `face_limit` lel 1,000 dži 2,000,000 face. `geometry_quality` thaj `texture_quality` šaj te aven standard vaj detailed. Opcije si PBR materialura, quad topology, automatikano scaling pe realuno baripen, thaj separatne bić vaś geometry, o text-to-image paso thaj tekstura.

- 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/rom/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 | Tekstosko deskripcija le manglome 3D objektoski, limitime 1024 karakterenca. |
| `negative_prompt` |  | string \| null | no |  | ≤ 1024 characters | Deskripcija le feature-rongi save na kamen te aven ando generirime modelo. |
| `face_limit` |  | integer \| null | no |  | 1,000 – 2,000,000 | Explicitno face-count targeto va mesh keripe, savo override-inel o modelosko adaptive count alosaripen kana si dine. |
| `texture` |  | boolean | no | `true` |  | Kontrolinel te o modelo lel kerde tekstura. |
| `pbr` |  | boolean | no | `true` |  | Aktivirin PBR materialura (Physically Based Rendering), savo kana kerel texture-keripe te si true. |
| `model_seed` |  | integer \| null | no |  |  | Seed, savo kerel geometry-keripe reprodukucijake. |
| `image_seed` |  | integer \| null | no |  |  | Seed savo sias ando text-to-image faza. |
| `texture_seed` |  | integer \| null | no |  |  | Seed, savo kerel texture-keripe reprodukucijake. |
| `texture_quality` |  | enum (string) | no | `standard` | `standard`, `detailed` | Texture-kvaliteto; 'detailed' bararel texture-rezolucija. |
| `geometry_quality` |  | enum (string) | no | `standard` | `standard`, `detailed` | Geometry-kvaliteto. |
| `auto_size` |  | boolean | no | `false` |  | Automatikano scaling, savo del modelo realno dimenzije metronenca. |
| `quad` |  | boolean | no | `false` |  | Alos mashkar triangularna face-ja thaj quads, 4 rigenca, quad topology-a aktivirime. Quad rezultatonge, FBX fajlo si boldo kana Tripo del data sar FBX bytes. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Screening šaj te avel relaksirime te postavil pes false, numa kana o manglo si autorizuime. |

## 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 vaj FBX fajlo le generirime 3D modeloha, formato si palal oda so Tripo kerel. |
| `model_urls` | object {glb, fbx, base_model, pbr_model} | URL-ja saven sikaven alternativo versije le 3D modeloha. |
| `rendered_image` | object {url, content_type, file_name, file_size} \| null | Renderirime preview savo sikavel le generirime 3D modelo. |
| `task_id` | string \| null | Palem butivar trupo task ID savo identifikujel le generirime modelos rig vaj rig-check sake, bi aver modelos uploadosko. |

## 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