# Ltx 2.3 Quality · Text to Video · LoRA API

> ᡠᡳᠶᡠᠨ ᡩᡝᡵᡳ ᡤᡡᠩᡤᡡᠯᡝᠮᡝ ᡳᠯᡳᠪᡠᠮᠪᡳ᠉ ᡤᡠᠯᡤᡳ ᡩᡝ ᡤᡠᠴᡠᠰᡳ ᡩᡝᡵᡳ ᡤᡠᠴᡠ ᡤᡝᠨᡝᡵᡝᠶᡝᠨ LoRA ᡳ ᡥᡡᠯᠠᠮᡝ LTX 2.3 Quality ᡳ ᠪᠠᠰᡝ ᠵᠠᠯᡠ ᡩᡝ ᡶᡠᠰᡝᡥᡝᠨ ᡳᠯᡳᠪᡠᠮᠪᡳ

ᡠᡳᠶᡠᠨ ᡩᡝᡵᡳ ᡤᡡᠩᡤᡡᠯᡝᠮᡝ ᡳᠯᡳᠪᡠᠮᠪᡳ᠉ `loras` ᡳ ᠵᡠᠰᡝ 3 ᡩᡝ ᠣᠴᡳᠨᠠᠪᡠᠮᠪᡳ᠉ ᡝᡵᡝ ᡶᡠᠰᡝᡥᡝᠨ ᠪᡝ ᡩᡠᠯᡝᠮᡝ ᠠᠰᡥᠠᠨ ᡠᠯᡥᡳᠨ ᠣᠮᠪᡳ᠉ ᡝᡵᡝ ᠪᠠᠰᡝ ᡶᡠᠰᡝᡥᡝᠨ᠉ `num_frames` 9 ᡩᡝᡵᡳ 481᠂ `frames_per_second` 60 ᡩᡝᠴᡳ᠂ ᡠᠯᡥᡳ `resolution`᠂ ᠠᡠᡩᡳᠣ ᡠᠶᡠᠨ᠂ ᠵᡠᠰᡝᠨ ᡩᡝᠪᡝ 8 ᡩᡝᡵᡳ 30 ᡩᡝᠴᡳ᠉

- Model id: `ltx-2.3-quality/text-to-video/lora`
- Made by: Lightricks
- Category: Text to Video
- Output: video
- Price per megapixel of your output video: $0.00271 / megapixel of output video (cheapest run $0.003 (3 API credits))
- Run: `POST https://api.doitong.ru/v1/run/ltx-2.3-quality/text-to-video/lora`
- Quote: `POST https://api.doitong.ru/v1/quote/ltx-2.3-quality/text-to-video/lora`
- Docs page: https://doitong.com/mnc/developers/models/ltx-2.3-quality/text-to-video/lora

## Pricing

Price: **$0.00271 / megapixel of output video**. Price per megapixel of your output video: 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 $0.304 = 304 API credits (112 MP output video × $0.002708).

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-video/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 |  |  | ᠰᡠᠨᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡳ ᡶᠠᡴᠰᡳᠨ ᠣᠪᡠᠮᡝ ᠪᠠᡳᡨᠠᠯᠠᡵᠠ ᡥᡡᠯᠠᠨ᠈ |
| `num_frames` |  | integer | no | `121` | 9 – 481 | ᠪᡠᠶᡝᠮᡝᠩᡤᡝ ᠰᡠᠨᡤᠠ ᡳ ᡶᡳᠯᡝᠮᡝ ᡳ ᠵᠠᠯᠠᠨ。 |
| `resolution` |  | object {width, height} \| enum (string) | no | `landscape_16_9` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | ᠠᡵᠠᡥᠠ ᠰᡠᠨᡤᠠ ᡳ ᡤᠣᠯᠮᡳᠨ ᠣᠨᠴᠣ᠈ |
| `frames_per_second` |  | number | no | `24` | 1 – 60 | ᠪᡠᠶᡝᠮᡝᠨᡳ ᡶᡳᠯᡝᠮᡝᠮᡝ ᠵᠠᠯᠠᠨ, ᡶᡳᠯᡝᠮᡝᠨ ᡳ ᠨᠠᡩᠠᠨ ᠰᡝᡴᡠᠨᡩ. |
| `num_inference_steps` |  | integer | no | `15` | 8 – 30 | ᡳᠨᡶᡝᡵᡝᠨᠰᡳ ᠠᡵᠠᡥᠠᡳ ᠵᠠᡵᡤᠠᠨ ᠪᡝ 30 ᠵᡝᠴᡝᠨ ᠪᠠᡩᠠ ᠪᡠᠶᡝᠮᡝ; ᠵᡠᠯᡝ 15. |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | ᠮᡝᠯᡥᡝᠨᡳ ᡩᠠᠯᡤᠠᠨ ᠪᡝ ᡝᠨᡩᡠᡵᡳᠯᡝᠮᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠠᠪᠠᠮᡳ; ᠵᡠᠯᡝ ᠵᠠᠯᠠᠨ ᠵᠠᡵᡤᠠᠨ ᠪᡠᠶᡝᠮᡝᠨ ᠪᡝ ᡶᠠᠰᡥᠠ ᠠᡵᠠᠯᠠᠮᠪᡳ. |
| `generate_audio` |  | boolean | no | `true` |  | ᠪᡠᡩᠠᡵᠠᠨ MP4 ᡳ ᡤᡳᠰᡠᠨ ᡠᠯᡥᡳᠯᡝᠮᡝᠨ: ᠠᠮᠪᠠᠯᠠᡵᠠ ᡤᡳᠰᡠᠨ ᡠᡥᡝᠣᠯᡳ ᠵᠠᡳ ᠰᡠᠨᡤᠠ ᡶᡳᠯᡝ, ᠠᠮᠪᠠᠯᠠᡴᡳ ᡤᡳᠰᡠᠨ ᠵᠠᠪᡠᠮᠪᡳ. |
| `negative_prompt` |  | string | no | `color distortion, overexposure, static, blurry details, subtitles, style, artwork, painting, frame, still, dim overall tone, worst quality, low quality, JPEG compression artifacts, ugly, mutilated, extra fingers, poorly drawn hands, poorly drawn face, deformed, disfigured, malformed limbs, fused fingers, motionless frame, cluttered background, three legs, crowded background, walking backwards` |  | 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 | `true` |  | ᡥᡡᠯᠠᠨ ᠪᡝ ᡩᡝᠯᡝᠪᡠᡵᡝ ᠪᡝ ᡝᠪᡠᡵᡝ ᡝᠪᡠᡵᠠᡴᡡ ᠪᡝ ᡠᠵᡳᠮᠪᡳ. |
| `enable_safety_checker` |  | boolean | no | `true` |  | ᠠᠮᠠᠯᠠᠮᡝ ᠰᠠᠬᡳᠶᠠᠨ ᡳ ᠵᠠᠯᡳᠨ ᠪᡳᠰᡳᡵᡝ ᠵᠠᡴᡠᠨᠠᠮᡝ᠉ |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | ᠪᡠᠶᡝᠮᡝᠨᡳ ᠰᡠᠨᡤᠠᡳ ᠵᠠᠯᠠᠨ ᡳ ᠴᡳᠨᠠᡵᡤᡳ ᠵᠠᠯᠠᠨ. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | ᠪᡠᠶᡝᠮᡝᠨᡳ ᠰᡠᠨᡤᠠᡳ ᠪᡠᠶᡝᠨ ᡩᡠᠯᡝᠮᡝ. |
| `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-video/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-video/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-video/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-video/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-video/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": 304,
    "usd": "0.304",
    "charged": 304,
    "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": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    },
    "seed": 42,
    "prompt": "string"
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "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 |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | ᠮᠣᠳᡝᠯ ᠪᡠᠶᡝᡥᠠᠨ ᠰᡠᠨᡤᠠ. |
| `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 · 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
- [Ltx 2.3 Quality · Day to Night](https://doitong.com/developers/models/ltx-2.3-quality/day-to-night.md) (`ltx-2.3-quality/day-to-night`): $0.00241 / megapixel of output video

## Links

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