# ID-V2V Relight API

> Vaizdo įrašo apšvietimo pakeitimas, paskleidžiantis pakeisto nuorodinio kadro apšvietimą visame klipe

Pakeičia šaltinio vaizdo įrašo (`video_url`) apšvietimą naudodamas peršviestą pirmą kadrą (`image_url`) ir `prompt`, išlaikydamas sceną bei atlikimą. Galima prisegti iki 5 `keyframes`. Raiška yra 480p arba 720p, `num_frames` reikšmės nuo 17 iki 241, o `vace_scale` (0–2) nustato, kaip griežtai šaltinio struktūra riboja išvestį. Segmentavimo raginys nepateikiamas.

- Model id: `id-v2v/relight`
- Made by: Open model
- Category: Video to Video
- Output: video
- Price per second of your output video: $0.20 / second of output video (cheapest run $0.20 (200 API credits))
- Run: `POST https://api.doitong.com/v1/run/id-v2v/relight`
- Quote: `POST https://api.doitong.com/v1/quote/id-v2v/relight`
- Docs page: https://doitong.com/lt/developers/models/id-v2v/relight

## Pricing

Price: **$0.20 / second of output video**. Price per second 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.

The full example input below costs $1.013 = 1013 API credits (5.0625 s output video × $0.20).

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/id-v2v/relight` 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 |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | Pageidaujamą perkurto vaizdo įrašo išvestį nurodantis raginys. |
| `video_url` | `video` | string (video URL) | yes |  |  | Generavimo judėjimo ir kadravimo nuoroda, pateikiama kaip šaltinio vaizdo įrašo URL. |
| `image_url` | `image` | string (image URL) | yes |  |  | Vaizdo įrašo atkūrimo tapatybės ir stiliaus nuoroda, pateikiama kaip į perkurto pirmojo kadro vaizdą nukreipiantis URL. |
| `keyframes` |  | array of object {image_url, frame_index} | no |  | ≤ 5 items | Pasirenkami ilgo vaizdo įrašo tapatybės atramos taškai: pateikite perkurtus pagrindinius kadrus ir išvesties kadrų indeksus, kuriuose jie turi būti rodomi. |
| `keyframes[].image_url` |  | string (image URL) | yes |  |  | Perkurto vaizdo įrašo tapatybės atramos taško vaizdo URL; vaizdo kraštinių santykis nuo išvesties santykio gali skirtis ne daugiau kaip 0.1. Vaizdas rodomas nepakeistas ties `frame_index`. |
| `keyframes[].frame_index` |  | integer | yes |  | ≥ 1 | Įdėkite pagrindinį kadrą į išvesties vietą, ne mažesnę nei 1 ir mažesnę už bendrą išvesties kadrų skaičių, naudodami indeksavimą nuo 0. Vieta 0 skirta perkurtam pradiniam kadrui iš `image_url`. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Pasirinkite 720p 1280×720 arba 720×1280 išvesčiai, arba 480p 832×480 arba 480×832 išvesčiai. Taikomi matmenys priklauso nuo šaltinio vaizdo įrašo orientacijos. |
| `num_frames` |  | integer | no | `81` | 17 – 241 | Apribokite kuriamų kadrų skaičių; jei šaltinyje kadrų mažiau, jo kadrų skaičius tampa viršutine riba. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 40 | Kiekvienam klipui taikomas klipo kokybės ir spartos valdiklis, išreikštas difuzijos atrankos žingsnių skaičiumi: daugiau žingsnių gerina kokybę, bet užtrunka ilgiau. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | Klasifikatoriaus nenaudojamo valdymo stiprumas, derinantis atitiktį raginiui su kūrybiškumu. |
| `vace_scale` |  | number | no | `1` | 0 – 2 | Atitiktis šaltinio vaizdo įrašo struktūrai, reguliuojama VACE sąlygojimo masteliu. |
| `seed` |  | integer \| null | no |  |  | Generuojant kelis klipus visiems klipams bendra atsitiktinė pradžia, leidžianti atkurti generavimą. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Įjungia įvesčių ir išvesčių saugos patikras. |

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
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

## 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/id-v2v/relight?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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/id-v2v/relight?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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 = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/id-v2v/relight", 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": "id-v2v/relight",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "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": "id-v2v/relight",
  "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": 1013,
    "usd": "1.013",
    "charged": 1013,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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
  },
  "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} | Generuojant sukurtas vaizdo įrašo failas. |
| `seed` | integer | Generuojant taikoma pradinė reikšmė. |

## Related models

- [ID-V2V](https://doitong.com/developers/models/id-v2v.md) (`id-v2v`): $0.20 / second of output video
- [AMT Interpolation](https://doitong.com/developers/models/amt-interpolation.md) (`amt-interpolation`): $0.000575 / second of processing time
- [AnimateDiff Turbo · Video to Video](https://doitong.com/developers/models/fast-animatediff/turbo/video-to-video.md) (`fast-animatediff/turbo/video-to-video`): $0.00125 / second of processing time
- [AnimateDiff · Video to Video](https://doitong.com/developers/models/fast-animatediff/video-to-video.md) (`fast-animatediff/video-to-video`): $0.00125 / second of processing time
- [Bernini-R Edit Video](https://doitong.com/developers/models/bernini-r/edit-video.md) (`bernini-r/edit-video`): from $0.04 / second of output video
- [Bernini-R Reference Edit Video](https://doitong.com/developers/models/bernini-r/reference-edit-video.md) (`bernini-r/reference-edit-video`): from $0.04 / second of output video
- [DWPose Pose Prediction · Video](https://doitong.com/developers/models/dwpose/video.md) (`dwpose/video`): $0.0006 / second of processing time
- [Editto](https://doitong.com/developers/models/editto.md) (`editto`): from $0.04 / second of output video

## Links

- HTML page: https://doitong.com/developers/models/id-v2v/relight
- 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=id-v2v/relight
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/id-v2v/relight