# Ltx 2.3 Quality · Render to Real API

> Ginagawang photorealistic na video ang 3D, CG o game render footage, na may mapipiling intensity

Kino-convert ang 3D render na ibinigay sa `video_url` tungo sa mas makatotohanang hitsura. Maaaring maging light, strong o strong-v2 ang `intensity`, mula banayad hanggang agresibo. Itinatakda ng opsyonal na `image_url` ang photoreal na unang frame, at nagdaragdag ang `enable_detail_refine` ng ikalawang sharpening pass na may `detail_refine_strength` mula 0.3 hanggang 0.95. Pinananatili ng prompt ang `3DREAL` trigger, at ang output ay 480p o 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.ru/v1/run/ltx-2.3-quality/render-to-real`
- Quote: `POST https://api.doitong.ru/v1/quote/ltx-2.3-quality/render-to-real`
- Docs page: https://doitong.com/fil/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.ru/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 na tumutukoy sa 3D, CG, o game-rendered video para sa photorealistic conversion. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Opsyonal na larawan anchor para sa frame 0, na nagtatakda ng photorealistic appearance nito. Kung wala ito, render lamang ang gumagabay sa resulta; kapag ibinigay, nagiging unang frame ang larawan, alinsunod sa image-to-video training ng adapter. |
| `intensity` |  | enum (string) | no | `light` | `light`, `strong`, `strong-v2` | Antas ng photorealism transformation, kung saan pinipili ng `strong-v2` ang pinakabagong pinahusay na adapter para sa mas mahusay na coherence sa mga eksena, audio, nagsasalitang character, at pangkalahatang kalidad. Para sa ibang option, piliin ang `light` upang mas mapanatili ang appearance at motion ng source render, o `strong` para sa mas agresibong pagbabago tungo sa photorealism. |
| `enable_detail_refine` |  | boolean | no | `false` |  | Pinapagana ang karagdagang refinement stage upang pataasin ang sharpness at resolution; naka-disable bilang default. Pagkatapos ng base pagbuo, pinalalaki ng spatial upscaler nang 2x ang video latent, pagkatapos ay pinipino ito ng maikling detailer pass gamit ang distilled modelo. |
| `detail_refine_strength` |  | number | no | `0.75` | 0.3 – 0.95 | Denoising strength ng detailer, na default sa 0.75 at naaangkop lamang kapag naka-enable ang `enable_detail_refine`. Para sa mas banayad na edit na nagpapanatili sa base result, gumamit ng mas mababang setting; kapag tinaasan ito, mas malawakan nitong nire-regenerate ang detalye ngunit may mas malaking panganib ng paglihis. |
| `prompt` |  | string | no | `3DREAL.` |  | Text prompt para sa gustong photorealistic na resulta, na isinusulat pagkatapos ng nakapunang `3DREAL` adapter-activation trigger. Hindi inaalis ng pag-clear sa prompt o pag-enable ng prompt expansion ang trigger na iyon; palagi itong pinananatili. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Piliin ang resolution ng maikling side ng output habang pinananatili ang source aspect ratio: nagbibigay ang 480p ng mas malambot na resulta para sa mga clip na hanggang humigit-kumulang 15 segundo, habang mas matalas ang 720p para sa hanggang humigit-kumulang 6 segundo. Piliin ang 480p para sa mas mahahabang clip dahil nililimitahan ng IC-LoRA control path ang resolution na minultiply sa bilang ng frame; tinatanggihan ang mga kahilingang lumalampas sa badyet na ito na may malinaw na error. Kalkulahin ang tagal ng output bilang `num_frames` / `frames_per_second`. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | Bilang ng frame ng output, na sakop ng IC-LoRA badyet sa resolution na minultiply sa mga frame: humigit-kumulang 6 segundo sa 720p o 15 segundo sa 480p. Nagbabalik ng 422 ang paglampas sa badyet na iyon; bawasan ang `num_frames` o piliin ang 480p. Ang tagal ng clip sa segundo ay katumbas ng `num_frames` / `frames_per_second`. |
| `frames_per_second` |  | number | no | `24` | 1 – 60 | Frame rate ng output video, na sinusukat sa frames per segundo. |
| `num_inference_steps` |  | integer | no | `15` | 8 – 30 | Itakda kung ilang inference step ang tatakbuhin, hanggang 30; kapag hindi binago, 15 ang ginagamit. |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | Ayusin ang classifier-free guidance gamit ang scale na ito; nakatuon ang default tuning nito sa mataas na kalidad at mabilis na pagbuo. |
| `generate_audio` |  | boolean | no | `true` |  | Toggle ng audio track para sa ibinalik na MP4: ang off ay gumagawa ng video-only na file, habang ang on ay nagsasama ng 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 prompt na tumutukoy sa dapat iwasan ng pagbuo. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | AI-based enrichment ng pagbuo prompt, naka-disable bilang default upang manatiling hindi nababago ang iyong wording. Iniuulat ng output ang aktuwal na prompt na ginamit, habang palaging pinananatili ang `3DREAL`; kapag pinagana ang expansion, maaaring palawakin ng isang AI modelo ang description bago ang pagbuo. |
| `seed` |  | integer \| null | no |  |  | Seed na ginagawang reproducible ang pagbuo. Ang pagtatakda nito sa None ay random na pumipili ng seed. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Kinokontrol kung pinapagana ang safety checking. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Quality preset na inilalapat sa output video. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Write mode para sa resultang 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.ru/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.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/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.ru/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.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": "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.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} | Videong ginawa ng modelo. |
| `seed` | integer | Aktuwal na seed na ginagamit habang bumubuo. |
| `prompt` | string | Prompt sa pagbuo, kabilang ang anumang expansion na inilapat bago gamitin. |

## 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.ru/v1/models/ltx-2.3-quality/render-to-real