# Ltx 2.3 Quality · Render to Real API

> 3D, CG vaj game render filmosarutno kerel fotorealistiko video, alosarasa e intensitetosko

Paruvel jekh 3D render dine sar `video_url` andre maj realistikano dikhipen. `intensity` šaj te avel light, strong vaj strong-v2, katar lokho dži zoralo. Opcionalno `image_url` setuil fotorealistiko angluno kadro, thaj `enable_detail_refine` thovel jekh dujto šarpenosko pass e `detail_refine_strength` katar 0.3 to 0.95. O prompto rakhel o `3DREAL` trigger, thaj o rezultato si 480p vaj 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/rom/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 savo sikavel pe 3D, CG vaj game-renderime videoske fotorealistikano konversija. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Opcionalno kipo-ankoro pale frame 0, savo thovel leski fotorealistikani dikhipen. Bi lesko, numa o render guidil o rezultato; kana si dino, o kipo ovel angluno kadro, adapteroske image-to-video trainingosar jekhetano. |
| `intensity` |  | enum (string) | no | `light` | `light`, `strong`, `strong-v2` | Fotorealizmosko paruvipen-level; `strong-v2` lel o nevesto, maj-lačho adapter te ačharel koherenca maškar scene-a, audio, vakerutne karaktera thaj generalno kvaliteta. Aver opcijenca, `light` ačharel maj-but e fonte-renderoski dikhipen thaj motion, vaj `strong` kerel maj-zoralo fotorealizmosko paruvipen. |
| `enable_detail_refine` |  | boolean | no | `false` |  | Putrel jekh dodatno faza fino kerimaski te vazdel e oštrina thaj e rezolucija; standardno si phandli. Palal o bazno keripe, jekh prostorno vazdavno bararel e videosko latentno reprezentiripe 2x, palal jekh xarno detaljengo procesiripe fino kerel les le distilirime modelosa. |
| `detail_refine_strength` |  | number | no | `0.75` | 0.3 – 0.95 | Detailer denoising strength, standardno 0.75 thaj numa kana si aktivno `enable_detail_refine`. Gently editura thaj maj-but base-resultatoske ačharipena, len tele setting; maj-baro setting regeneril maj-but detaila, numa šaj te kerel maj-baro divergentura. |
| `prompt` |  | string | no | `3DREAL.` |  | Tekstosko prompto vaš o manglo fotorealistično rezultato, xramosardo palal o anglunes pherdo `3DREAL` adapterosko aktivacijako okidačo. Ni e promptosko šužaripe ni e promptoske buxljaripe na xasaren akava okidačo; vov arakhel pes sajekh. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Alosar e rezultatoski rezolucija pe harni rig, thaj arakh e izvorosko proporcija e rigengi: 480p del po molve rezultatura vaš klipura dži pašal 15 sekunde, a 720p del po oštre rezultatura dži pašal 6 sekunde. Alosar 480p vaš po lunge klipura, kaj e IC-LoRA kontrolako drom ograničil e rezolucija multiplikime e kadronenge ginosa; e mangimata save nakhen akava budžeto si odbime jekhe jasnone greškasa. Računin e rezultatosko trajanje sar `num_frames` / `frames_per_second`. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | O gin e kadrengo e rezultatosko, tel o IC-LoRA budžeto pe rezolucija multiplikime e kadrenca: paše 6 sekunde pe 720p vaj 15 sekunde pe 480p. Kana o budžeto ačhol nakhlo, boldel 422; ciknjaren `num_frames` vaj alosaren 480p. E kliposki dužina ande sekunde si `num_frames` / `frames_per_second`. |
| `frames_per_second` |  | number | no | `24` | 1 – 60 | E rezultatoske videoski frekvencija e kadronengi, merimi kadronenca pe sekunda. |
| `num_inference_steps` |  | integer | no | `15` | 8 – 30 | Thaven keci inference steps te keren, dži ko 30; te na paruven, labarel 15. |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | Paruven classifier-free guidance kadale scale-sa; lesko standardno tuning targetinel baro quality thaj sig keripe. |
| `generate_audio` |  | boolean | no | `true` |  | Audio-track toggle vaš o MP4 savo aven: off kerel numa video fajlo, on thavel 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` |  | Negative prompto savo phenel so o keripe na trubul te kerel. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Barvalipe e keripaskere promptosko pe AI baza, standardno phandlo, kaj tire lava te nakhen bi paruvipasko. O rezultato sikavel o prompto savo čačes sas upotreblime, sajekh arakhel `3DREAL`; kana putres o buxljaripe, jekh AI modelo šaj buxljarel o opis anglal o keripe. |
| `seed` |  | integer \| null | no |  |  | Seed savo kerel o generiripe reproducibilno. Te postavil pes pe None, randomno kidel pes seed. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Kontrolinel, si li aktivno o bezbednostno proveripe. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Quality preset aplikime pe o rezultato video. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Pisimen modo vaš o rezultato-video. |

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} | Video kerdo le modelostar. |
| `seed` | integer | Realno seed aplikime ande o keripe. |
| `prompt` | string | Keriепe prompto, le sako expansion-esa aplikime angl te labaren les. |

## 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