# Ltx 2.3 Quality · Render to Real API

> Forvandler 3D-, CG- eller spilmotiver til en fotorealistisk video med valgfri intensitet

Konverterer en 3D-rendering leveret som `video_url` til et mere realistisk udseende. `intensity` kan være light, strong eller strong-v2, fra mild til kraftig. En valgfri `image_url` angiver det fotorealistiske første frame, og `enable_detail_refine` tilføjer en ekstra skarphedsbehandling med `detail_refine_strength` fra 0.3 to 0.95. Prompten bevarer `3DREAL`-triggeren, og outputtet er 480p eller 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/da/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, der peger på en 3D-, CG- eller spilgengivet video til fotorealistisk konvertering. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Valgfri billedforankring for frame 0, som fastlægger det fotorealistiske udseende. Uden den er det kun renderingen, der styrer resultatet; når den leveres, bliver billedet den første frame i overensstemmelse med adapterens image-to-video-træning. |
| `intensity` |  | enum (string) | no | `light` | `light`, `strong`, `strong-v2` | Niveau for fotorealistisk transformation, hvor `strong-v2` vælger den nyeste forbedrede adapter for bedre sammenhæng på tværs af scener, lyd, talende karakterer og samlet kvalitet. For de øvrige muligheder skal du vælge `light` for at bevare mere af kildens renderede udseende og bevægelse eller `strong` for mere omfattende ændringer mod fotorealisme. |
| `enable_detail_refine` |  | boolean | no | `false` |  | Aktiverer et ekstra forbedringstrin for at øge skarphed og opløsning; deaktiveret som standard. Efter basisgenereringen forstørrer en spatial upscaler video-latenten 2x, hvorefter en kort detailer-kørsel forbedrer den ved hjælp af den destillerede model. |
| `detail_refine_strength` |  | number | no | `0.75` | 0.3 – 0.95 | Denoising-styrke for detaileren, som standard 0.75 og kun gældende, når `enable_detail_refine` er aktiveret. Brug en lavere indstilling til blidere ændringer, der bevarer basisresultatet; en højere værdi regenererer flere detaljer, men øger risikoen for større afvigelser. |
| `prompt` |  | string | no | `3DREAL.` |  | Tekstprompt for det ønskede fotorealistiske resultat, skrevet efter den forudfyldte aktiveringstrigger `3DREAL` for adapteren. Hverken rydning af prompten eller aktivering af promptudvidelse fjerner triggeren; den bevares altid. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Vælg opløsningen på den korte side, mens kildebilledformatet bevares: 480p giver blødere resultater for klip på op til cirka 15 sekunder, mens 720p giver skarpere resultater i op til cirka 6 sekunder. Vælg 480p til længere klip, fordi IC-LoRA-kontrolstien begrænser opløsning ganget med frame-antal; anmodninger, der overskrider budgettet, afvises med en tydelig fejl. Beregn outputvarigheden som `num_frames` / `frames_per_second`. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | Output-frameantal underlagt et IC-LoRA-budget for opløsning ganget med frames: cirka 6 sekunder ved 720p eller 15 sekunder ved 480p. Overskridelse giver 422; reducér `num_frames` eller vælg 480p. Klippets varighed i sekunder er lig med `num_frames` / `frames_per_second`. |
| `frames_per_second` |  | number | no | `24` | 1 – 60 | Output-videoens framehastighed, målt i frames per sekund. |
| `num_inference_steps` |  | integer | no | `15` | 8 – 30 | Angiv, hvor mange inferenstrin der skal køres, op til 30; hvis værdien ikke ændres, bruges 15. |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | Juster classifier-free guidance med denne skala; standardindstillingen er optimeret til både høj kvalitet og hurtig generering. |
| `generate_audio` |  | boolean | no | `true` |  | Lydsporindstilling for den returnerede MP4: fra giver en video uden lyd, og til inkluderer lyd. |
| `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` |  | Negativ prompt, der angiver, hvad genereringen skal undgå. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | AI-baseret berigelse af genereringsprompten, deaktiveret som standard, så din formulering sendes videre uændret. Outputtet viser den prompt, der faktisk blev brugt, og bevarer altid `3DREAL`; når udvidelsen aktiveres, kan en AI-model udfolde beskrivelsen før genereringen. |
| `seed` |  | integer \| null | no |  |  | Seed, der gør genereringen reproducerbar. Indstilling til None vælger en seed tilfældigt. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Styrer, om sikkerhedskontrol er aktiveret. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Kvalitetsforudindstilling anvendt på outputvideoen. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Skrivetilstand for den resulterende 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 produceret af modellen. |
| `seed` | integer | Den seed, der faktisk anvendes under generering. |
| `prompt` | string | Genereringsprompt inklusive eventuel udvidelse, der er anvendt før brug. |

## 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