# ID-V2V API

> يعيد تصميم فيديو انطلاقًا من إطار أول مُعاد تصميمه مع الحفاظ على هوية الموضوع وحركته

يعيد إنشاء فيديو مصدر (`video_url`) بمظهر إطار أول مُعاد تصميمه (`image_url`) بتوجيه من `prompt`. يمكن لما يصل إلى 5 من `keyframes` تثبيت الهوية في المقاطع الأطول. يكون الإخراج 480p أو 720p مع `num_frames` من 17 إلى 241، ويحدد `segmentation_prompt` (person افتراضيًا) الموضوع الذي تشترط وحداته البكسلية النتيجة.

- 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/ar/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 |  |  | موجّه يحدد الفيديو المطلوب إعادة تصميمه. |
| `video_url` | `video` | string (video URL) | yes |  |  | مرجع الحركة والتأطير للتوليد، ويُقدّم كعنوان URL للفيديو المصدر. |
| `image_url` | `image` | string (image URL) | yes |  |  | مرجع الهوية والأسلوب لإعادة توليد الفيديو، ويُقدّم كعنوان URL يشير إلى الإطار الأول المُعاد تصميمه. |
| `keyframes` |  | array of object {image_url, frame_index} | no |  | ≤ 5 items | مراسي هوية اختيارية للفيديوهات الطويلة: وفّر إطارات رئيسية مُعاد تصميمها مع مؤشرات إطارات المخرج التي يجب أن تظهر فيها. |
| `keyframes[].image_url` |  | string (image URL) | yes |  |  | عنوان URL لصورة مُعاد تصميمها لمرساة هوية في فيديو طويل؛ يجب ألا تختلف نسبة أبعاد الصورة عن المخرج بأكثر من 0.1. تظهر الصورة دون تعديل عند `frame_index`. |
| `keyframes[].frame_index` |  | integer | yes |  | ≥ 1 | ضع الإطار الرئيسي عند موضع مخرج لا يقل عن 1 وأقل من إجمالي عدد إطارات المخرج، باستخدام الفهرسة التي تبدأ من 0. الموضع 0 محجوز للإطار الابتدائي المُعاد تصميمه من `image_url`. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | اختر 720p لمخرج 1280×720 أو 720×1280، أو 480p لمخرج 832×480 أو 480×832. يحدد اتجاه الفيديو المصدر الأبعاد المنطبقة. |
| `num_frames` |  | integer | no | `81` | 17 – 241 | حدّد عدد الإطارات المراد إنتاجها؛ إذا احتوى المصدر على إطارات أقل، يصبح عدد إطاراته الحد الأعلى. |
| `segmentation_prompt` |  | string | no | `person` | ≤ 100 characters | موجّه لاختيار الموضوع لـ SAM-3، يحدد المنطقة التي ستوجّه بكسلاتها التوليد. يكون التوليد غير مقيّد خارج الموضوع المُجزّأ. |
| `num_inference_steps` |  | integer | no | `30` | 2 – 40 | تحكم في جودة المقطع وسرعته، معبّرًا عنه بعدد خطوات أخذ عينات الانتشار لكل مقطع: تحسّن الخطوات الأكثر الجودة لكنها تستغرق وقتًا أطول. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | قوة التوجيه الخالي من المصنّف، التي توازن بين الالتزام بالموجّه والإبداع. |
| `vace_scale` |  | number | no | `1` | 0 – 2 | الالتزام البنيوي بالفيديو المصدر، ويُضبط عبر مقياس تهيئة VACE. |
| `seed` |  | integer \| null | no |  |  | بذرة عشوائية مشتركة بين جميع المقاطع عند توليد مقاطع متعددة، ما يتيح توليدًا قابلًا لإعادة الإنتاج. |
| `enable_safety_checker` |  | boolean | no | `true` |  | يمكّن فحوصات السلامة على كل من المداخل والمخارج. |

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} | ملف الفيديو الناتج عن التوليد. |
| `seed` | integer | قيمة البذرة المطبّقة أثناء التوليد. |

## 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