# Ltx 2.3 Quality · Render to Real API

> Pārveido 3D, CG vai spēles renderētu materiālu fotoreālistiskā video ar izvēlamu intensitāti

Pārveido `video_url` norādītu 3D renderējumu reālistiskākā izskatā. `intensity` var būt light, strong vai strong-v2 — no maigākas līdz agresīvākai pārveidei. Neobligāts `image_url` nosaka fotoreālistisku pirmo kadru, bet `enable_detail_refine` pievieno otru asināšanas posmu ar `detail_refine_strength` no 0.3 līdz 0.95. Uzvednē jāsaglabā `3DREAL` aktivizētājs, un izvade ir 480p vai 720p.

- Model id: `ltx-2.3-quality/render-to-real`
- Made by: Lightricks
- Category: Video to Video
- Output: video
- Price per megapixel of your output video: from $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/render-to-real`
- Quote: `POST https://api.doitong.com/v1/quote/ltx-2.3-quality/render-to-real`
- Docs page: https://doitong.com/lv/developers/models/ltx-2.3-quality/render-to-real

## Pricing

Price: **from $0.00241 / megapixel of output video** (the lowest tier; the quote prices your exact input). 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.

Price by tier:

- base rate: $0.00241 / megapixel of output video
- detail refine: $0.00963 / megapixel of output video

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/render-to-real` 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 |
|---|---|---|---|---|---|---|
| `video_url` | `video` | string (video URL) | yes |  |  | URL uz 3D, CG vai spēlē renderētu video fotoreālistiskai pārveidošanai. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Neobligāts atskaites attēls kadram 0, kas nosaka tā fotoreālistisko izskatu. Bez tā rezultātu vada tikai renderējums; ja attēls ir norādīts, tas kļūst par pirmo kadru atbilstoši adaptera apmācībai video ģenerēšanai no attēla. |
| `intensity` |  | enum (string) | no | `light` | `light`, `strong`, `strong-v2` | Fotoreālistiskās pārveidošanas līmenis; `strong-v2` izvēlas jaunāko uzlaboto adapteri labākai saskaņotībai starp ainām, audio, runājošiem tēliem un augstākai kopējai kvalitātei. No pārējām opcijām izvēlieties `light`, lai vairāk saglabātu avota renderējuma izskatu un kustību, vai `strong` izteiktākām izmaiņām fotoreālisma virzienā. |
| `enable_detail_refine` |  | boolean | no | `false` |  | Iespējo papildu pilnveidošanas posmu asuma un izšķirtspējas palielināšanai; pēc noklusējuma atspējots. Pēc pamata ģenerēšanas telpiskās mērogošanas rīks palielina video latento reprezentāciju par 2x, pēc tam īss detalizācijas uzlabošanas posms to pilnveido, izmantojot destilēto modeli. |
| `detail_refine_strength` |  | number | no | `0.75` | 0.3 – 0.95 | Trokšņa mazināšanas stiprums detalizācijas uzlabošanai; noklusējums ir 0.75, un tas tiek piemērots tikai tad, ja iespējots `enable_detail_refine`. Saudzīgākām izmaiņām, kas saglabā pamata rezultātu, izmantojiet zemāku vērtību; tās palielināšana plašāk pārģenerē detaļas, bet palielina novirzes risku. |
| `prompt` |  | string | no | `3DREAL.` |  | Teksta uzvedne vēlamajam fotoreālistiskajam rezultātam, kas rakstīta pēc iepriekš aizpildītā adaptera aktivizēšanas marķiera `3DREAL`. Ne uzvednes notīrīšana, ne uzvednes paplašināšanas iespējošana šo marķieri nenoņem; tas vienmēr tiek saglabāts. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Izvēlieties īsākās malas izšķirtspēju, saglabājot avota malu attiecību: 480p nodrošina maigākus rezultātus klipiem līdz aptuveni 15 sekundēm, bet 720p — asākus rezultātus līdz aptuveni 6 sekundēm. Garākiem klipiem izvēlieties 480p, jo IC-LoRA vadības ceļš ierobežo izšķirtspējas un kadru skaita reizinājumu; pieprasījumi, kas pārsniedz šo budžetu, tiek noraidīti ar skaidru kļūdu. Aprēķiniet izvades ilgumu kā `num_frames` / `frames_per_second`. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | Izvades kadru skaits, uz kuru attiecas IC-LoRA budžets, kas ierobežo izšķirtspējas un kadru skaita reizinājumu: aptuveni 6 sekundes pie 720p vai 15 sekundes pie 480p. Budžeta pārsniegšana atgriež 422; samaziniet `num_frames` vai atlasiet 480p. Klipa ilgums sekundēs ir `num_frames` / `frames_per_second`. |
| `frames_per_second` |  | number | no | `24` | 1 – 60 | Izvades video kadru ātrums, mērīts kadros sekundē. |
| `num_inference_steps` |  | integer | no | `15` | 8 – 30 | Iestatiet izpildāmo secināšanas soļu skaitu, nepārsniedzot 30; nemainot šo vērtību, tiek izmantoti 15. |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | Pielāgojiet classifier-free guidance, izmantojot šo mērogu; tā noklusējuma regulējums ir paredzēts augstai kvalitātei un ātrai ģenerēšanai. |
| `generate_audio` |  | boolean | no | `true` |  | Atgrieztā MP4 audio celiņa pārslēgs: izslēgts izveido tikai video failu, bet ieslēgts ietver audio. |
| `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` |  | Negatīvā uzvedne, kas norāda, no kā ģenerēšanā jāizvairās. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Ģenerēšanas uzvednes bagātināšana ar AI; pēc noklusējuma atspējota, lai jūsu formulējums tiktu izmantots nemainīts. Izvadē tiek norādīta faktiski izmantotā uzvedne, vienmēr saglabājot `3DREAL`; iespējojot paplašināšanu, AI modelis pirms ģenerēšanas papildina aprakstu. |
| `seed` |  | integer \| null | no |  |  | Sēkla, kas padara ģenerēšanu atkārtojamu. Iestatot None, sēkla tiek izvēlēta nejauši. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Nosaka, vai drošības pārbaude ir iespējota. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Izvades video pielietotais kvalitātes iestatījums. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Iegūtā video ierakstīšanas režīms. |

File parameters (`video`, `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
{
  "video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

A fuller example:

```json
{
  "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

## 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/render-to-real?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }'

# 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/render-to-real?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }),
});
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 = {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
}

# 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/render-to-real", 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/render-to-real",
      "input": {
        "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
      },
      "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/render-to-real",
  "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": {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  },
  "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} | Modeļa izveidotais video. |
| `seed` | integer | Faktiskā sēkla, kas izmantota ģenerēšanas laikā. |
| `prompt` | string | Ģenerēšanas uzvedne, tostarp jebkāda pirms izmantošanas veikta paplašināšana. |

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