# LTX-Video 13B 0.9.8 Distilled · Image to Video API

> 0.9.8 distilled 13B ماڈل کے ساتھ تصویر سے ویڈیو، فراہم کردہ تصویر اور پرامپٹ سے آغاز کے ساتھ

`image_url` میں موجود تصویر کو لازمی `prompt` کے مطابق اینیمیشن میں تبدیل کرتا ہے۔ 480p یا 720p اور `aspect_ratio` auto، 9:16، 1:1 یا 16:9 منتخب کریں۔ طوالت `num_frames` (9 سے 1441) اور `frame_rate` (1 سے 60) سے مقرر ہوتی ہے۔ حسبِ ضرورت `loras`، تفصیلی پاس اور ٹون میپنگ کنٹرولز دستیاب ہیں۔

- Model id: `ltxv-13b-098-distilled/image-to-video`
- Made by: Lightricks
- Category: Image to Video
- Output: video
- Price per second of your output video: from $0.02 / second of output video (cheapest run $0.02 (20 API credits))
- Run: `POST https://api.doitong.ru/v1/run/ltxv-13b-098-distilled/image-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/ltxv-13b-098-distilled/image-to-video`
- Docs page: https://doitong.com/ur/developers/models/ltxv-13b-098-distilled/image-to-video

## Pricing

Price: **from $0.02 / second of output video** (the lowest tier; the quote prices your exact input). Price per second 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 $0.101 = 101 API credits (5.0417 s output video × $0.02).

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/ltxv-13b-098-distilled/image-to-video` 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

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | تخلیق کی رہنمائی کرنے والی text instructions۔ |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | تخلیق کے لیے منفی text instructions۔ |
| `loras` |  | array of object {path, weight_name, scale} | no | `[]` |  | تخلیق کے دوران لاگو ہونے والے LoRA weights۔ |
| `loras[].path` |  | string | yes |  |  | LoRA weights کا مقام، URL یا path کے طور پر دیا جاتا ہے۔ |
| `loras[].weight_name` |  | string \| null | no |  |  | HuggingFace repository میں متعدد وزنوں کے درمیان انتخاب کے لیے LoRA وزن کا نام؛ یہ صرف متعدد وزنوں والی repositories کے لیے درکار ہے۔ اس ترتیب کا کوئی اثر نہیں جب تک `path` کسی HuggingFace repository کی شناخت نہ کرے۔ |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | LoRA weight کے load ہونے پر اسے scale کرنے والا multiplier۔ |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | آؤٹ پٹ ویڈیو کا ریزولوشن۔ |
| `aspect_ratio` |  | enum (string) | no | `auto` | `9:16`, `1:1`, `16:9`, `auto` | ویڈیو کا aspect ratio۔ |
| `seed` |  | integer \| null | no |  |  | تخلیق کے دوران randomness کو کنٹرول کرنے والا seed۔ |
| `num_frames` |  | integer | no | `121` | 9 – 1,441 | ویڈیو کی کل فریم count۔ |
| `first_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | پہلے pass کے inference steps کی count۔ |
| `second_pass_num_inference_steps` |  | integer | no | `8` | 2 – 12 | دوسرے pass کے inference steps کی count۔ |
| `second_pass_skip_initial_steps` |  | integer | no | `5` | 1 – 11 | دوسرے pass کے دوران چھوڑے جانے والے ابتدائی inference-step count، جس سے یہ pass بڑی تبدیلیوں کے بجائے fine-detail کام کی طرف منتقل ہوتا ہے۔ |
| `frame_rate` |  | integer | no | `24` | 1 – 60 | ویڈیو کا فریم rate۔ |
| `expand_prompt` |  | boolean | no | `false` |  | Language ماڈل کے ذریعے پرامپٹ expansion۔ |
| `reverse_video` |  | boolean | no | `false` |  | ویڈیو کے playback order کو الٹنا۔ |
| `enable_safety_checker` |  | boolean | no | `true` |  | حفاظتی جانچ کا سوئچ؛ بند ترتیب صرف مجاز اکاؤنٹس کے لیے قابلِ قبول ہے۔ ایسی اجازت کے بغیر تمام درخواستوں کی حفاظتی جانچ ہوتی ہے۔ |
| `enable_detail_pass` |  | boolean | no | `false` |  | فعال ہونے پر ویڈیو detail بہتر کرنے والا اختیاری دوسرا refinement pass۔ |
| `temporal_adain_factor` |  | number | no | `0.5` | 0 – 1 | Adaptive instance normalization (AdaIN) strength، زیادہ سیٹنگز پر color consistency اور کم سیٹنگز پر زیادہ color variation کے درمیان توازن قائم کرتی ہے۔ یہ پہلے کے علاوہ تخلیق شدہ chunks پر کام کرتی ہے اور پوری ویڈیو میں color distributions normalize کر کے saturation یا contrast میں بتدریج اضافے کو کم کرنے میں مدد دیتی ہے۔ |
| `tone_map_compression_ratio` |  | number | no | `0` | 0 – 1 | Tone-mapping compression level، 0.0 پر compression نہ ہونے سے 1.0 پر maximum compression تک۔ اس طرح ویڈیو کی dynamic range compress کرنے سے visual quality بہتر ہوتی ہے۔ |
| `constant_rate_factor` |  | integer | no | `29` | 0 – 51 | ان پٹ compression کے لیے استعمال ہونے والا constant rate factor (CRF)، جو فراہم کردہ media کو ماڈل کے training data کے قریب لا کر motion quality بہتر کر سکتا ہے۔ |
| `image_url` | `image` | string (image URL) | yes |  |  | ویڈیو تخلیق کے لیے استعمال ہونے والی سورس تصویر کا URL۔ |

File parameters (`image`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

## 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/ltxv-13b-098-distilled/image-to-video?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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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/ltxv-13b-098-distilled/image-to-video?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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ltxv-13b-098-distilled/image-to-video", 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": "ltxv-13b-098-distilled/image-to-video",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "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": "ltxv-13b-098-distilled/image-to-video",
  "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": 101,
    "usd": "0.101",
    "charged": 101,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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
    },
    "prompt": "The astronaut gets up and walks away",
    "seed": 42
  },
  "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} | تخلیق سے تیار کردہ ویڈیو فائل۔ |
| `prompt` | string | آؤٹ پٹ تخلیق کرنے کے لیے استعمال کیا گیا پرامپٹ۔ |
| `seed` | integer | تخلیق کے دوران لاگو ہونے والی سیڈ قدر۔ |

## Related models

- [LTX-Video 13B 0.9.8 Distilled](https://doitong.com/developers/models/ltxv-13b-098-distilled.md) (`ltxv-13b-098-distilled`): from $0.02 / second of output video
- [LTX-Video 13B 0.9.8 Distilled · Extend](https://doitong.com/developers/models/ltxv-13b-098-distilled/extend.md) (`ltxv-13b-098-distilled/extend`): from $0.02 / second of output video
- [LTX-Video 13B 0.9.8 Distilled · Multiconditioning](https://doitong.com/developers/models/ltxv-13b-098-distilled/multiconditioning.md) (`ltxv-13b-098-distilled/multiconditioning`): from $0.02 / second of output video
- [LTX 2.5 Pro Image to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/image-to-video/pro.md) (`lightricks/ltx-2.5/image-to-video/pro`): from $0.12 / second
- [FLUX 3 Max Image to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/image-to-video.md) (`blackforestlabs/flux-3-max/image-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Image to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/image-to-video.md) (`xai/grok-imagine-video/v1.5/image-to-video`): from $0.082 / second
- [Kling 3.0 Pro Image to Video](https://doitong.com/developers/models/kling-video/v3/pro/image-to-video.md) (`kling-video/v3/pro/image-to-video`): from $0.112 / second
- [MiniMax H3 Image to Video](https://doitong.com/developers/models/minimax/h3/image-to-video.md) (`minimax/h3/image-to-video`): from $0.05 / second

## Links

- HTML page: https://doitong.com/developers/models/ltxv-13b-098-distilled/image-to-video
- 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=ltxv-13b-098-distilled/image-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/ltxv-13b-098-distilled/image-to-video