# Ltx 2.3 Quality · Ingredient API

> בילד־צו־ווידעאָ פֿון אַ רעפֿערענץ־בלאַט מיט פּאַרשוינען, רעקוויזיטן און אָרט, מיט אָפּציאָנעל גענערירטן אַודיאָ

בויט אַ ווידעאָ פֿון אַ טעקסט־`prompt` און אַן `image_url` וואָס ווײַזט אויף אַ רעפֿערענץ־בלאַט מיט ריינע פּאַנעלן פֿאַר קאָנסיסטענטע פּאַרשוינען, רעקוויזיטן און סצענעריע. `ingredient_strength` און `reference_strength` (0 ביז 2) קאָנטראָלירן ווי שטאַרק דער בלאַט פֿירט דעם רעזולטאַט. `num_frames` גייט פֿון 9 ביז 481, `frames_per_second` פֿון 1 ביז 60, און מען קען אויסשליסן אַודיאָ מיט `generate_audio`.

- Model id: `ltx-2.3-quality/ingredient`
- Made by: Lightricks
- Category: Image to Video
- Output: video
- Price per megapixel of your output video: $0.00241 / megapixel of output video (cheapest run $0.003 (3 API credits))
- Run: `POST https://api.doitong.com/v1/run/ltx-2.3-quality/ingredient`
- Quote: `POST https://api.doitong.com/v1/quote/ltx-2.3-quality/ingredient`
- Docs page: https://doitong.com/yi/developers/models/ltx-2.3-quality/ingredient

## Pricing

Price: **$0.00241 / 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 $0.27 = 270 API credits (112 MP output video × $0.002408).

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/ltx-2.3-quality/ingredient` 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 |  |  | טעקסט וואָס דיריגירט ווידעא־גענערירונג. פֿאַר אָפּטימאַלע רעזולטאַטן אָרגאַניזירט אים ווי 'Reference sheet: ... Generated video: ...'. |
| `image_url` | `image` | string (image URL) | yes |  |  | Ingredient reference-sheet בילד־URL וואָס אידענטיפֿיצירט וואָס צו האַלטן: פּערסאָנאַזשן, רעקוויזיטן און אָרט זאָלן דערשײַנען אין ריינע פּאַנעלן אויפֿן בלאַט. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | ראַם־צאָל פונעם גענערירטן רעזולטאַט. |
| `resolution` |  | object {width, height} \| enum (string) | no | `{"height":896,"width":1536}` | `auto`, `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | ענד־ווידעא־דימענסיעס נאָך דער באַאַמטער 2x־פֿאַרבעסערונג־סטאַדיע. דער סטאַנדאַרט האַלט דעם Ingredient LoRA־טרענירונג־bucket פֿון 768x448 פֿאַרן ערשטן סטאַדיע פֿונעם workflow. |
| `frames_per_second` |  | number | no | `24` | 1 – 60 | רעזולטאַט־ווידעא־ראַם־קורס, געמאסטן אין ראַמען פּער סעקונדע. |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | שטאַרקייט פֿון classifier-free guidance. |
| `ingredient_strength` |  | number | no | `1` | 0 – 2 | Reference-sheet־אידענטיטעטן און רעקוויזיטן ווערן מער באַמערקבאַר ווען איר הייבט אויף די שטאַרקייט פֿאַר דעם אַרײַנגענומענעם Ingredient IC-LoRA. |
| `reference_strength` |  | number | no | `1` | 0 – 2 | Reference-sheet־גיידאַנס־שטאַרקייט: פֿאַרמינערט זי פֿאַר מער מאָדעל־פֿרײַהייט, אָדער ניצט 1.0 צו צולייגן דעם בלאַט פֿולשטענדיק. |
| `generate_audio` |  | boolean | no | `true` |  | אַודיאָ־טראַק־באַשטימונג פֿאַר דעם צוריקגעגעבן MP4: אויסגעלאָשן פּראָדוצירט אַ ווידעא־בלויז פֿײַל, און אָנגעצונדן נעמט אַרײַן אַודיאָ. |
| `negative_prompt` |  | string | no | `worst quality, inconsistent motion, blurry, jittery, distorted` |  | נעגאַטיווער פּראָמפּט וואָס ספּעציפֿיצירט וואָס די גענערירונג זאָל אויסמײַדן. |
| `seed` |  | integer \| null | no |  |  | סיד וואָס מאכט גענערירונג רעפּראָדוצירבאַר. אויב מען שטעלט עס אויף None, ווערט אַ סיד ראַנדאָם אויסגעקליבן. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | קאָנטראָלירט צי פּראָמפּט־יקספּאַנשאַן איז אַקטיווירט. |
| `enable_safety_checker` |  | boolean | no | `true` |  | קאָנטראָלירט צי זיכערהייט־קאָנטראָל זאָל זײַן אַקטיוו. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | קוואַליטעט־פּריסעט וואָס ווערט געווענדט צום רעזולטאַט־ווידעא. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | שרײַב־מאָדע פֿאַרן רעזולטירנדיקן ווידעא. |

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.com/v1/run/ltx-2.3-quality/ingredient?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.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/ltx-2.3-quality/ingredient?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.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",
    "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/ltx-2.3-quality/ingredient", 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": "ltx-2.3-quality/ingredient",
      "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": "ltx-2.3-quality/ingredient",
  "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": 270,
    "usd": "0.27",
    "charged": 270,
    "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
    },
    "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | ווידעא געשאַפֿן דורכן מאָדעל. |
| `seed` | integer | דער בפֿועל־Seed וואָס ווערט געווענדט בעת גענערירונג. |
| `prompt` | string | גענערירונג־פּראָמפּט, אַרײַנגערעכנט יעדע פֿאַרברייטערונג וואָס איז געווענדט געוואָרן איידערן נוצן. |

## 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 · 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/ingredient
- 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/ingredient
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ltx-2.3-quality/ingredient
