# Tripo P2 Text to 3D API

> Maandishi hadi 3D yenye PBR, mesh za quad, toleo la tekstura linaloweza kuchaguliwa na kidokezo hasi, toleo la maandishi la P2

Hutengeneza modeli ya 3D kutoka kwa kidokezo chenye hadi vibambo 1024, ikiwa na `negative_prompt` yenye hadi vibambo 255. Mesh hufikia nyuso 50,000, au 25,000 `quad` ikiwa imewashwa. Ubora wa tekstura huanzia wa haraka hadi wa juu zaidi, ukiwa na `texture_version` inayoweza kuchaguliwa, PBR ya hiari, uondoaji wa mwangaza usiohitajika na uhamishaji wa UV. Mbegu zinapatikana kwa hatua ya picha, jiometri na tekstura.

- Model id: `tripo3d/p2/text-to-3d`
- Made by: Tripo
- Category: Text to 3D
- Output: 3d
- Price per run: from $1.00 / run (cheapest run $1.00 (1000 API credits))
- Run: `POST https://api.doitong.com/v1/run/tripo3d/p2/text-to-3d`
- Quote: `POST https://api.doitong.com/v1/quote/tripo3d/p2/text-to-3d`
- Docs page: https://doitong.com/sw/developers/models/tripo3d/p2/text-to-3d

## Pricing

Price: **from $1.00 / 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.

Price by tier:

- base rate: $1.00 / run
- fast: $1.10 / run
- standard: $1.10 / run
- detailed: $1.20 / run
- extreme: $1.30 / run

The full example input below costs $1.10 = 1100 API credits (1 run × $1.10 (standard)).

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/tripo3d/p2/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 |  | 1 – 1024 characters | Maelezo ya maandishi ya kitu cha 3D kinachohitajika, yenye kikomo cha herufi 1024. |
| `negative_prompt` |  | string \| null | no |  | ≤ 255 characters | Maelezo ya vipengele vinavyopaswa kuondolewa kwenye modeli iliyozalishwa. |
| `image_seed` |  | integer \| null | no |  |  | Seed inayotumika wakati wa hatua ya ndani ya text-to-image. |
| `model_seed` |  | integer \| null | no |  |  | Seed inayotumika kufanya uzalishaji wa jiometri uweze kurudiwa. |
| `face_limit` |  | integer \| null | no |  | 48 – 50,000 | Kikomo cha juu cha nyuso za mesh, kikiwa na kikomo tofauti cha 25,000 kwa topolojia ya quad. |
| `texture` |  | boolean | no | `true` |  | Hudhibiti ikiwa modeli itapokea maumbo yaliyotengenezwa. |
| `pbr` |  | boolean | no | `true` |  | Hudhibiti uzalishaji wa ramani za nyenzo za PBR. Kuwasha PBR pia huwasha texture. |
| `texture_seed` |  | integer \| null | no |  |  | Seed inayotumika kufanya uzalishaji wa texture uweze kurudiwa. |
| `texture_quality` |  | enum (string) | no | `standard` | `fast`, `standard`, `detailed`, `extreme` | Mpangilio wa ubora wa texture. |
| `texture_version` |  | enum (string) \| null | no |  | `v3.5-20260815`, `v3.0-20250812`, `v2.5-20250123` | Toleo linalotumika kuunda modeli za texture. Kwa ubora wa haraka, chagua v3.5-20260815; matoleo mengine hayatumiki kwa ubora huo. |
| `delight` |  | boolean | no | `true` |  | Huondoa mwangaza uliopachikwa kabla ya kuweka texture kwa kutumia v3.5-20260815. |
| `auto_size` |  | boolean | no | `false` |  | Upimaji wa kiotomatiki ili kuipa modeli vipimo vya ulimwengu halisi vinavyopimwa kwa mita. |
| `export_uv` |  | boolean | no | `true` |  | Hudhibiti ikiwa modeli itapokea koordinati za UV zilizozalishwa. |
| `export_orientation` |  | enum (string) \| null | no |  | `+x`, `-x`, `-y`, `+y` | Mpangilio wa mhimili wa mbele wa uhamishaji wa modeli, ukiainishwa. |
| `quad` |  | boolean | no | `false` |  | Topolojia ya mesh inayotumia quad badala ya pembetatu. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Ukaguzi unaweza kulegezwa kwa kuweka false, ikiwa mpigaji simu ameidhinishwa. |

## 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/tripo3d/p2/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/tripo3d/p2/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/tripo3d/p2/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": "tripo3d/p2/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/p2/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": 1100,
    "usd": "1.10",
    "charged": 1100,
    "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `model_mesh` | object {url, content_type, file_name, file_size} | Faili la GLB au FBX lenye modeli ya 3D iliyozalishwa, ambapo umbizo huamuliwa na kile Tripo inachozalisha. |
| `model_urls` | object {glb, fbx, base_model, pbr_model} | URL zinazoelekeza kwenye matoleo mbadala ya modeli ya 3D. |
| `rendered_image` | object {url, content_type, file_name, file_size} \| null | Hakikisho lililorekodiwa linaloonyesha modeli ya 3D iliyozalishwa. |
| `task_id` | string \| null | Kitambulisho cha kazi cha Tripo kinachoweza kutumika tena, kinachotambulisha modeli iliyozalishwa kwa rig au rig-check na kuruhusu operesheni hizo bila kupakia modeli nyingine. |

## Related models

- [Tripo P2 Image to 3D](https://doitong.com/developers/models/tripo3d/p2/image-to-3d.md) (`tripo3d/p2/image-to-3d`): from $1.00 / run
- [Tripo H3.1 Text to 3D](https://doitong.com/developers/models/tripo3d/h3.1/text-to-3d.md) (`tripo3d/h3.1/text-to-3d`): from $0.10 / 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
- [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
- [Hunyuan3d V3 · Text to 3D](https://doitong.com/developers/models/hunyuan3d-v3/text-to-3d.md) (`hunyuan3d-v3/text-to-3d`): from $0.225 / run

## Links

- HTML page: https://doitong.com/developers/models/tripo3d/p2/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/p2/text-to-3d
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/tripo3d/p2/text-to-3d