# Ltx 2.3 Quality · Text to Audio · LoRA API

> ᡥᡡᠯᠠᠨ ᡩᠣᠯᠣ ᡤᡳᠰᡠᠨ ᠪᡠᠶᡝᠮᡝ᠂ 3 ᠵᠠᠩᡤᡳ ᠵᡠᠯᡝᠨ LoRA ᠪᡝ ᠠᠵᠠᠨᠠᠮᡝ

ᡥᡡᠯᠠᠨ `prompt` ᡩᡝᡵᡳ ᡤᡳᠰᡠᠨ ᠪᡝ ᠪᡠᠶᡝᠮᡝ᠂ 3 ᠵᠠᠩᡤᡳ ᠵᡠᠯᡝᠨ LoRA ᠪᡝ ᡤᠠᠯᠠ ᠪᡝᠶᡝ `loras` ᠵᡠᠩᡤᠠᠨ ᠪᡝ ᠵᡝᠪᡝᠯᡝᠮᡝ. ᡝᠮᡠ ᠪᡝ 3 GB ᡳ ᡩᠠᠮᡠ. ᠵᡝᠮᡝ `num_frames` ᡳ `frames_per_second` ᡩᡝ ᠶᠠᠶᠠ ᠵᡝᠮᡝ ᠪᡝ ᠵᡠᠯᡝᠯᡝᠮᡝ᠂ `num_frames` 9 ᡩᠣ 481 ᡳ ᠵᠠᠩᡤᠠᠨ. ᡳᠨᡠ `negative_prompt`᠂ `seed` ᡩᠠᡳ `guidance_scale` 1 ᡩᠣ 20 ᠪᡝ ᠵᡠᠯᡝᠮᡝ.

- Model id: `ltx-2.3-quality/text-to-audio/lora`
- Made by: Lightricks
- Category: Audio
- Output: audio
- Estimated price per run: from $0.70 / run (cheapest run $0.70 (700 API credits))
- Run: `POST https://api.doitong.ru/v1/run/ltx-2.3-quality/text-to-audio/lora`
- Quote: `POST https://api.doitong.ru/v1/quote/ltx-2.3-quality/text-to-audio/lora`
- Docs page: https://doitong.com/mnc/developers/models/ltx-2.3-quality/text-to-audio/lora

## Pricing

Price: **from $0.70 / run** (the lowest tier; the quote prices your exact input). Estimated from the typical cost of one run. The quote is exactly what the run charges.

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `num_frames` > 363: base price × 4
- When `num_frames` ≤ 363: base price × 3
- When `num_frames` ≤ 242: base price × 2

The full example input below costs $0.70 = 700 API credits (1 request × 700 API credits).

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/ltx-2.3-quality/text-to-audio/lora` 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 |  |  | ᡥᡡᠯᠠᠨ ᡤᡳᠰᡠᠨ ᠪᡠᠶᡝᠮᠪᡳ ᠰᡝᠮᡝ ᡩᠠᠯᠵᡳᠮᠪᡳ᠃ |
| `num_frames` |  | integer | no | `121` | 9 – 481 | ᡤᡳᠰᡠᠨ ᡳ ᠵᠠᠯᠠᠨ ᡳ ᠪᠠᡳᠨᠠᠮᠪᡳ᠂ `num_frames` ᡳ `frames_per_second` ᡩᡝ ᠵᠠᠯᡳᠨ ᠰᡝᡴᡠᠨᡩ ᡳ ᠵᠠᠯᡠ ᠪᡳᠮᠪᡳ᠃ |
| `frames_per_second` |  | number | no | `24` | 1 – 60 | ᡶᡳᠯᡝᠮᡝ ᡳ ᠶᠠᠪᡠᠨ ᡤᡳᠰᡠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠵᠠᠯᡳᠨᠠᠮᠪᡳ᠃ |
| `num_inference_steps` |  | integer | no | `15` | 8 – 30 | ᠨᡝᠴᡳᠯᡝᠮᡝᠨᡳ ᡤᡠᠯᡠᠴᡳ ᠵᠠᠯᠠᠨ. |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | ᡩᠠᠨᠰᡝᠯᡝᡵᡝ ᠠᡴᡡ ᠵᠣᡵᡳᠪᡠᡵᡝ ᡳ ᠴᡳᠩᡴᠠ. |
| `negative_prompt` |  | string | no | `pc game, console game, video game, cartoon, childish, ugly` |  | ᠪᡠᠶᡝᠮᡝᠨ ᡩᡠᠯᡝᠮᡝ ᡠᠯᡥᡳᠯᡝᠮᡝ ᠠᠪᠠᡥᠠ ᠠᠰᡥᠠᠨ ᡥᡡᠯᠠᠨ. |
| `seed` |  | integer \| null | no |  |  | ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠰᠠᡳᠨ ᠪᡳᠰᡳᠮᡝ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠉ None ᡩᡝ ᠪᡳᠮᡝ ᠪᠠᠨᠵᡳᠨ ᡤᠣᠯᠣᠮᡝ᠉ |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | ᡥᡡᠯᠠᠨ ᠪᡝ ᡩᡝᠯᡝᠪᡠᡵᡝ ᠪᡝ ᡝᠪᡠᡵᡝ ᡝᠪᡠᡵᠠᡴᡡ ᠪᡝ ᡠᠵᡳᠮᠪᡳ. |
| `enable_safety_checker` |  | boolean | no | `true` |  | ᠠᠮᠠᠯᠠᠮᡝ ᠰᠠᠬᡳᠶᠠᠨ ᡳ ᠵᠠᠯᡳᠨ ᠪᡳᠰᡳᡵᡝ ᠵᠠᡴᡠᠨᠠᠮᡝ᠉ |
| `loras` |  | array of object {path, scale, transformer} | yes |  | ≤ 3 items | LTX-2.3 ᡳ ᠯᠣᠷᠠ ᡳᠯᡥᡳᠨᡳ ᡝᠮᡤᡳᠯᡝᠮᡝ, ᡶᡝᡵᡤᡝᠨ ᠨᠠᠳᠠᠯᠠᠨ 3 GB, ᡝᠮᡤᡳ 3 ᠪᡝ ᡠᠯᡥᡳᠯᡝᠮᠪᡳ. ᠮᡠᠰᡝ ᠵᡠᠯᡤᡳ registry ᡳ SSRF-safe ᠵᡠᠯᡤᡳᠯᡝᠮᡝ ᡶᡳᠯᡝ ᠪᡝ ᠠᠪᠠᡵᠠᡵᡳ ᡠᡥᡝᠣᠯᡳ. |
| `loras[].path` |  | string | yes |  | ≤ 2048 characters | 3 GB ᡩᠠᠯᡳ ᡩᡠᠯᡝᠮᡝ ᡠᠯᡥᡳᠯᡝᠮᡝ ᠣᠮᡳᠰᡳ ᠯᠣᠷᠠ .safetensors ᡶᡳᠯᡝᡳ HTTP(S) URL. SSRF-safe ᠵᡠᠯᡤᡳᠯᡝᠮᡝ ᠠᠪᠠᡵᠠᡵᡳ ᡠᡥᡝᠣᠯᡳ. |
| `loras[].scale` |  | number | no | `1` | 0 – 2 | ᠪᡠᠶᡝᠮᡝᠨ ᡳ ᠯᠣᠷᠠ ᡳ ᡩᡠᠯᡝ 0.0–2.0 ᡳ ᡠᠯᡤᡳᠨ ᠪᡝ ᠵᠠᠯᠠᠮᡝ ᡝᠮᡤᡳᠯᡝᠮᠪᡳ. |
| `loras[].transformer` |  | enum (string) | no | `both` | `high`, `low`, `both` | Transformer ᠰᡣᠣᠯᠣᠮᠪᡳ: 'both' ᠯᠠᠪᡩᡠ LTX-2.3 ᠪᡝ ᠮᡠᠰᡝ ᠰᠠᡳᠨ, ᠮᠣᡩᡝᠯ ᡳ ᡝᠮᡠ ᠵᠠᠩᡤᡳ ᠵᠠᠯᠠᠨ ᠵᠠᡳ. ᡝᡵᡝ flag ᠪᡝ ᡳᠯᡳᠪᡠᠮᡝ ᡝᠮᡠᠯᡝ ᡠᡵᡠᠯᠠᡥᠠ ᠵᠠᠯᠠᠨᠠᡳ Transformer ᡝᠮᡤᡳ ᠪᡳᠮᠪᡳ. |

## Example input

Required parameters only:

```json
{
  "loras": [
    {
      "path": "https://example.com/your-file.safetensors"
    }
  ],
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "loras": [
    {
      "path": "https://example.com/your-file.safetensors"
    }
  ],
  "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/ltx-2.3-quality/text-to-audio/lora?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "loras": [
      {
        "path": "https://example.com/your-file.safetensors"
      }
    ],
    "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/ltx-2.3-quality/text-to-audio/lora?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "loras": [
      {
        "path": "https://example.com/your-file.safetensors"
      }
    ],
    "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 = {
    "loras": [
        {
            "path": "https://example.com/your-file.safetensors",
        },
    ],
    "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/ltx-2.3-quality/text-to-audio/lora", 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": "ltx-2.3-quality/text-to-audio/lora",
      "input": {
        "loras": [
          {
            "path": "https://example.com/your-file.safetensors"
          }
        ],
        "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": "ltx-2.3-quality/text-to-audio/lora",
  "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": 700,
    "usd": "0.70",
    "charged": 700,
    "refunded": 0
  },
  "input": {
    "loras": [
      {
        "path": "https://example.com/your-file.safetensors"
      }
    ],
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "audio": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
      "content_type": "audio/mpeg",
      "file_name": "0-output.mp3",
      "file_size": 1843200
    },
    "seed": 42,
    "prompt": "string"
  },
  "outputs": [
    {
      "type": "audio",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
      "content_type": "audio/mpeg",
      "file_size": 1843200,
      "duration": 12,
      "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 |
|---|---|---|
| `audio` | object {url, content_type, file_name, file_size} | ᠮᠣᡩᡝᠯ ᡳ ᠪᡠᠶᡝᡥᡝ ᡤᡳᠰᡠᠨ᠉ |
| `seed` | integer | ᠪᡠᠶᡝᠮᡝᠨ ᡳ ᡥᡡᠯᠠᠨ ᡶᡝᡵᡤᡝᠨ. |
| `prompt` | string | ᠪᡠᠶᡝᠮᡝᠨᡳ ᡥᡡᠯᠠᠨ, ᠪᡠᠶᡝᠮᡝᠨ ᡩᡠᠯᡝᠮᡝ ᡝᠮᡤᡳᠯᡝᠮᡝ ᠠᠪᠠᡥᠠ ᠪᡝ ᡴᡳᠶᠠᠯᠠᡵᠠ. |

## Related models

- [Ltx 2.3 Quality · Text to Video](https://doitong.com/developers/models/ltx-2.3-quality/text-to-video.md) (`ltx-2.3-quality/text-to-video`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Text to Video · LoRA](https://doitong.com/developers/models/ltx-2.3-quality/text-to-video/lora.md) (`ltx-2.3-quality/text-to-video/lora`): $0.00271 / megapixel of output video
- [Ltx 2.3 Quality · Image to Video](https://doitong.com/developers/models/ltx-2.3-quality/image-to-video.md) (`ltx-2.3-quality/image-to-video`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Image to Video · LoRA](https://doitong.com/developers/models/ltx-2.3-quality/image-to-video/lora.md) (`ltx-2.3-quality/image-to-video/lora`): $0.00271 / megapixel of output video
- [Ltx 2.3 Quality · Ingredient](https://doitong.com/developers/models/ltx-2.3-quality/ingredient.md) (`ltx-2.3-quality/ingredient`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Clean Plate](https://doitong.com/developers/models/ltx-2.3-quality/clean-plate.md) (`ltx-2.3-quality/clean-plate`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Colorization](https://doitong.com/developers/models/ltx-2.3-quality/colorization.md) (`ltx-2.3-quality/colorization`): $0.00241 / megapixel of output video
- [Ltx 2.3 Quality · Cross Eyed](https://doitong.com/developers/models/ltx-2.3-quality/cross-eyed.md) (`ltx-2.3-quality/cross-eyed`): $0.00241 / megapixel of output video

## Links

- HTML page: https://doitong.com/developers/models/ltx-2.3-quality/text-to-audio/lora
- 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=ltx-2.3-quality/text-to-audio/lora
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/ltx-2.3-quality/text-to-audio/lora