# ID-V2V API

> Restilizil jekh video andar jekh restilizome angluno kadro, rakhindoj e identiteta thaj o lavipe e subjektesko

Kerel palem jekh źanglo video (`video_url`) ande dikhavipen le nevo-stilalno anglune framesko (`image_url`), vodime jekh `prompt`-esa. Dži 5 `keyframes` šaj te phandel identiteta ande lunge klipura. O outputo si 480p vaj 720p le `num_frames`-sa 17 dži 241, thaj `segmentation_prompt` (standardno person) alosarel o subjektos savo pixelura kontrolin o rezultato.

- Model id: `id-v2v`
- 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`
- Quote: `POST https://api.doitong.com/v1/quote/id-v2v`
- Docs page: https://doitong.com/rom/developers/models/id-v2v

## 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` 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 |  |  | Prompto savo phenel manglo restyled video. |
| `video_url` | `video` | string (video URL) | yes |  |  | Motioneski thaj framing referenca vaś keripe, dino sar sorsosko videosko URL. |
| `image_url` | `image` | string (image URL) | yes |  |  | Identitetoski thaj styloski referenca vaś video-regeneration, dino sar URL savo dikhel restyled angluno kadro. |
| `keyframes` |  | array of object {image_url, frame_index} | no |  | ≤ 5 items | Opcionalne identitetoske ankore vaš lunge video: de palem stilizime šerutne kadra e rezultatoske kadrenge indeksenca, kaj von trubun te sikljon. |
| `keyframes[].image_url` |  | string (image URL) | yes |  |  | Restyled kipesko URL vaś identitetosko anchor andro lungo video; kipesko aspect ratio na tromal te razlikujil katar outputosko maj but 0.1. O kipo dikhel bi-paruvipasa andro `frame_index`. |
| `keyframes[].frame_index` |  | integer | yes |  | ≥ 1 | Thov o keyframe andro outputoski pozicia najmanšo 1 thaj tele outputoske total frame-countosko, uzarindoj 0-based indexing. Pozicia 0 si rezervime vaś restyled startosko kadro vaj `image_url`. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | Alosar 720p vaš 1280×720 vaj 720×1280 rezultato, vaj 480p vaš 832×480 vaj 480×832 rezultato. E izvornoske videoski orientacija del savo dimenzije te aplicirin. |
| `num_frames` |  | integer | no | `81` | 17 – 241 | Limituj kabor kadro te kerel; te o sorsos lel maj cikno kadro-ginipen, lesko ginipen si upper bound. |
| `segmentation_prompt` |  | string | no | `person` | ≤ 100 characters | Subjectosko alosaripasko prompto vaś SAM-3, savo identifikuil o regionosko pixelo save te vodil o keripe. Avri katar o segmentime subjecto, o keripe si bi-limitime. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 40 | Cliposki kvaliteta thaj sigutnipen, phenime sar diffusion sampling-steposko ginipen vaś jekh clip: maj but stepa lačharel kvalitet, numa lel maj but vaxt. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | Classifier-free guidance zuralipen, balansirindoj promptoski vernosta thaj kreativita. |
| `vace_scale` |  | number | no | `1` | 0 – 2 | Strukturalno vernosta e sorsoske videoske, paruvime katar VACE conditioning scale. |
| `seed` |  | integer \| null | no |  |  | Random sidlo jekhetano savore clipenca kana kerel but clipa, vaš reprodukciako keripe. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Aktivizirarel safety-checka vaj inputo thaj rezultato. |

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?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?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", 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",
      "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",
  "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} | Video-fajlo kerdino generiripeça. |
| `seed` | integer | Seed-valoro aplikovano ko generiripe. |

## Related models

- [ID-V2V Relight](https://doitong.com/developers/models/id-v2v/relight.md) (`id-v2v/relight`): $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
- 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
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/id-v2v