# Ltx 2.3 Quality · Render to Real API

> Ka huri i ngā whakaahua render 3D, CG, kēmu rānei hei ataata tino rite ki te ao, me te kaha kōwhiri

Ka hurihia tētahi whakaputa 3D i tukuna hei `video_url` kia tino tūturu ake te āhua. Ka taea `intensity` te light, strong, strong-v2 rānei, mai i te māmā ki te kaha. Mā te `image_url` kōwhiringa e tautuhi te anga tuatahi whakaahua-tūturu, ā, mā `enable_detail_refine` e tāpiri he tukanga whakakoi tuarua me `detail_refine_strength` mai i te 0.3 ki te 0.95. Ka puritia te keu `3DREAL` i roto i te tohutohu, ā, ko te putanga 480p, 720p rānei.

- 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/mi/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 |  |  | He URL e tohu ana ki tētahi ataata 3D, CG, kēmu rānei kua tāia, hei panoni whakaahua-tūturu. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | He here atahanga kōwhiringa mō te anga 0, hei whakatū i tōna āhua whakaahua-tūturu. Ki te kore, ko te tānga anake hei ārahi i te putanga; ina tukuna, ka noho te atahanga hei anga tuatahi, kia rite ki te whakangungu atahanga-ki-te-ataata a te pūurutau. |
| `intensity` |  | enum (string) | no | `light` | `light`, `strong`, `strong-v2` | Te taumata panoni whakaahua-tūturu, ko `strong-v2` te tohu i te pūurutau hou kua whakapai ake mō te pai ake o te hononga i waenga i ngā whakaaturanga, te ororongo, ngā kiripuaki kōrero, me te kounga whānui. Mō ērā atu kōwhiringa, kōwhiria `light` kia nui ake te pupuri i te āhua me te nekehanga o te tānga pūtake, ko `strong` rānei mō ngā panoni kaha ake ki te whakaahua-tūturu. |
| `enable_detail_refine` |  | boolean | no | `false` |  | Ka whakakā i tētahi wāhanga whakapai anō hei whakapiki i te koi me te taumira; he mea whakaweto taunoa. Whai muri i te whakaputanga taketake, ka whakanuia e tētahi kaiwhakanuia ā-wāhi te latent ataata kia 2x, kātahi ka whakapaihia e tētahi wāhanga taipitopito poto mā te tauira kua whakarewaina. |
| `detail_refine_strength` |  | number | no | `0.75` | 0.3 – 0.95 | Te kaha whakakore haruru a te kaiwhakapai taipitopito, ko te taunoa 0.75, ā, ka whai pānga anake ina whakakāhia `enable_detail_refine`. Mō ngā whakarerekētanga māmā ake e pupuri ana i te putanga taketake, whakamahia he tautuhinga iti; mā te whakapiki ka whakaputa anō i ngā taipitopito, engari ka nui ake pea te rerekētanga. |
| `prompt` |  | string | no | `3DREAL.` |  | He tohutohu kuputuhi mō te putanga whakaahua-tūturu e hiahiatia ana, ka tuhia i muri i te keu whakakā pūurutau `3DREAL` kua whakakīa kē. Kāore te whakawātea i te tohutohu, te whakakā rānei i te whakawhānui tohutohu, e tango i taua keu; ka puritia tonutia. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Kōwhiria te taumira o te taha poto o te putanga me te pupuri i te ōwehenga āhuatanga pūtake: ka puta he hua māeneene ake i te 480p mō ngā topenga tae atu ki te 15 hēkona, ā, he koi ake i te 720p mō te 6 hēkona pea. Kōwhiria te 480p mō ngā topenga roa ake nā te mea ka whakawhāiti te ara whakahaere IC-LoRA i te taumira whakareatia ki te tatau anga; ka whakahokia ngā tono ka hipa i taua pūtea me tētahi hapa mārama. Tātaihia te roanga putanga hei `num_frames` / `frames_per_second`. |
| `num_frames` |  | integer | no | `121` | 9 – 481 | Tatau anga putanga, kei raro i te pūtea IC-LoRA mō te taumira whakareatia ki ngā anga: tata ki te 6 hēkona i te 720p, 15 hēkona rānei i te 480p. Mā te hipa i taua pūtea ka whakahoki 422; whakaitia `num_frames`, kōwhiria rānei te 480p. Ko te roanga topenga i ngā hēkona he `num_frames` / `frames_per_second`. |
| `frames_per_second` |  | number | no | `24` | 1 – 60 | Tere anga ataata putanga, ka inehia ki ngā anga ia hēkona. |
| `num_inference_steps` |  | integer | no | `15` | 8 – 30 | Tautuhia te maha o ngā hīkoi inference hei whakahaere, tae atu ki te 30; ki te waiho kia kore e whakarerekēhia, ka whakamahia te 15. |
| `guidance_scale` |  | number | no | `1` | 1 – 20 | Whakaritea te ārahi classifier-free mā tēnei tauine; ko te whakatikatika taunoa e whāia ana ko te kounga tiketike me te whakaputanga tere. |
| `generate_audio` |  | boolean | no | `true` |  | Whakakā riu ororongo mō te MP4 kua whakahokia: mā te whakaweto ka puta he kōnae ataata anake, ā, mā te whakakā ka whakauru ororongo. |
| `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` |  | Tohutohu tōraro e tohu ana i ngā mea me karo i te whakaputanga. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | He whakarangatira ā-AI i te tohutohu whakaputanga, he mea whakaweto taunoa kia rere tonu āu kupu. Ka whakaaturia e te putanga te tohutohu i whakamahia, me te pupuri tonu i `3DREAL`; mā te whakakā i te whakawhānui ka whakawhānuihia e tētahi tauira AI te whakaahuatanga i mua i te whakaputanga. |
| `seed` |  | integer \| null | no |  |  | Te kākano e taea ai te tārua o te whakaputanga. Mā te tautuhi ki None e kōwhiri matapōkeretia ai he kākano. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Ka whakahaere mēnā kua whakakāhia te tirotiro haumaru. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Tatūkē kounga ka whakamahia ki te ataata putanga. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Aratau tuhi mō te ataata ka puta. |

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} | Ataata i whakaputaina e te tauira. |
| `seed` | integer | Seed tūturu ka whakamahia i te whakaputanga. |
| `prompt` | string | Tohutohu whakaputanga, tae atu ki ngā whakawhānuitanga i whakamahia i mua i te whakamahinga. |

## 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