# Ltx 2.3 Quality · Render to Real API

> Rievdá 3D-, CG- dahje speallanrenderema fotorealisttalaš videon, válljejumiiguin nana dási hárrái

Rievdá `video_url` bokte addojuvvon 3D-renderema realisttalaččat. `intensity` sáhttá leat light, strong dahje strong-v2, njealje čájeheamis garrasit čájeheapmái. Eaktodáhtolaš `image_url` bidjá fotorealisttalaš álggogova, ja `enable_detail_refine` lasiha nuppi čielggadeapmi, mas `detail_refine_strength` lea 0.3 to 0.95. Prompta bisuha `3DREAL`-oktačuoggá, ja bohtos lea 480p dahje 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/se/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 mii čujuha 3D-, CG- dahje speallan-ráhkaduvvon videoi, mii galgá rievdaduvvot fotorealisttalaččat. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Válljehahtti govva-ankur rámma 0 várás, mii bidjá fotorealisttalaš lávddu. Almmá dan dušše render rávve boađusa; go dat addejuvvo, govva šaddá vuosttaš rámman, adaptera govva-video-oahpahusa mielde. |
| `intensity` |  | enum (string) | no | `light` | `light`, `strong`, `strong-v2` | Fotorealismma rievdadeami dási, mas `strong-v2` vállje ođđaseamos buoriduvvon adaptera buoret čatnaseapmái čuohkagiid, jietnama, hupmivaihkku ja oppalaš kvalitehta gaskkas. Eará molssaeavttuin vállje `light` vai eanet gáldu-rendera lávdda ja lihkadeapmi seailluhuvvo, dahje `strong` eanet garrasit fotorealismii rievdadeami várás. |
| `enable_detail_refine` |  | boolean | no | `false` |  | Čájeha lassi divvunmuttu, mii buorida čielggasvuođa ja resolušuvnna; standárdan časkkaduvvon. Vuođđoráhkadeami maŋŋá spatial upscaler stuorida video-latenta 2x, ja oanehis detailer-muttu divvu dan distilled modeallain. |
| `detail_refine_strength` |  | number | no | `0.75` | 0.3 – 0.95 | Detailer-denoising nanaheapmi, standárdan 0.75, ja geavahuvvo dušše go `enable_detail_refine` lea jođus. Geahppaseappot divvumiid várás geavat unnit árvu; alit árvu ráhkada dárkilvuođa eanet ođđasit, muhto sáhttá dagahit stuorát eretčuolbma. |
| `prompt` |  | string | no | `3DREAL.` |  | Teakstabivdda dárbbašuvvon fotorealisttalaš boađussii, čállojuvvon ovdal ovdagihtii devdojuvvon `3DREAL` adaptera-aktiviserenčuoggá. Ii bivdda sihkkut ii ge prompta viiddideapmi váldde eret dan čuoggá; dat seailluhuvvo álo. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Vállje boađusa oanehisbeali resolušuvnna ja seailluhit gáldo-govva molssaeavttu: 480p addá muodáseappot boađusaid klippaid várás gitta sullii 15 sekunda, 720p addá čavkkut boađusaid gitta sullii 6 sekunda. Vállje 480p guhkit klippaide, daningo IC-LoRA stivrenrádja ráddje resolušuvdna gearddu rámma-loguin; jearaldagat mat mannet dán bušeahta badjel hilgojuvvojit čielga meattáhusain. Rehkenastte boađus-guhkkodaga `num_frames` / `frames_per_second`. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | Boađus-rámma-lohku, mii lea ráddjejuvvon IC-LoRA bušeahtain resolušuvdna gearddu rámmaid: sullii 6 sekunda 720p:s dahje 15 sekunda 480p:s. Bušeahta badjel mannat jearaldagat máhccet 422; unnidit `num_frames` dahje vállje 480p. Klippa guhkkodat sekunddain lea `num_frames` / `frames_per_second`. |
| `frames_per_second` |  | number | no | `24` | 1 – 60 | Boađus-video rámmafrekeansa, meroštallojuvvon rámmaiguin sekunddas. |
| `num_inference_steps` |  | integer | no | `15` | 8 – 30 | Mearrit man galle inference-ceahki čađahat, gitta 30 rádjái; jus dán ii rievdat, geavahuvvo 15. |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | Heive classifier-free guidance dán skálain; dan standárdaheivehus ulbmil lea alla kvalitehta ja jođánis ráhkadeapmi. |
| `generate_audio` |  | boolean | no | `true` |  | Jietnaráiddu molssaeapmi máhcaheami MP4:i: apaguvvon ráhkada dušše video-fiila, aktiverejuvvon lasiha jietnaga. |
| `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` |  | Negatiiva bivdda mii čilge maid ráhkadeapmi galgá heaittihit. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | AI-vuđot bivdda-buorideapmi, standárdan časkkaduvvon vai du teaksta manná rievdatkeahttá. Boađus čájeha bivdda mii duođaid geavahuvvui ja seailluhuvvo álo `3DREAL`; viiddideami jođihan diktá AI-modealla viiddidit čilgehusa ovdal ráhkadeami. |
| `seed` |  | integer \| null | no |  |  | Sádji, mii dahká ráhkadeami reprodukšuvnnalažžan. None bidjan vállje sádji juhkosiid mielde. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Stivre bealuštaniskkadeami doaibmama. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Kvalitehta-heivehus mii geavahuvvo boađus-videui. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Boađusvideo čájehanvuohki. |

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} | Modealla ráhkadan video. |
| `seed` | integer | Ieš sivaárvu mii geavahuvvo ráhkadeamis. |
| `prompt` | string | Ráhkadanbivdda, maiddái buot lassáneapmi mii lea dahkkon ovdal geavaheami. |

## 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