# ID-V2V API

> ᡝᠮᡠ ᡩᡝᠪᡝᠯᡳᠨ ᠪᡝ ᡝᠮᡠ ᡝᡵᡝ ᠪᠠᠨᠵᡳᠨ ᠵᡳᠯᡤᠠᠨ ᠴᡳ ᡝᡵᡝᠨ ᠪᡝ ᠵᠠᠯᡠ ᠵᠠᠯᡳᠨ ᠪᡝ ᠰᠠᡳᠨ ᠰᡳᠮᡝ ᡩᠠᠯᡳᠨᠠᠮᡝ ᠪᡳ

ᡠᠯᡥᡳ ᡩᡝᠪᡝᠯᡳᠨ (`video_url`) ᠪᡝ ᡝᠮᡠ ᡝᡵᡝ ᠪᠠᠨᠵᡳᠨ ᠵᡳᠯᡤᠠᠨ (`image_url`) ᠨᡳ ᡩᡝᠯᡤᡳ ᠵᠠᠯᡠ ᠪᡝ ᡩᠣᠯᠣᠮᡝ, `prompt` ᠴᡳ ᡤᠠᡳᠰᡳ ᠪᡝᠨᡳ ᡩᠠᠯᡳᠨᠠᠮᡝ ᠪᡳ. ᡝᠨᡝᠩᡤᡳ ᡩᡝᠪᡝᠯᡳᠨ ᡩᡝ 5 `keyframes` ᠴᡳ ᠵᡳᠯᡤᠠᠨ ᡳᠨᡠ ᠰᠠᡳᠨ ᠪᡳ. ᠪᡳᠯᡤᠠᠨ 480p ᠵᠠᡳ 720p, `num_frames` 17 ᠴᡳ 241 ᡩᡝ ᠪᡳ, ᠵᡳᠯᡤᠠᠨ ᠴᡳ `segmentation_prompt` (ᠵᠠᡳ person) ᠪᡝ ᠰᠣᠩᡤᠣᠯᠣᠮᡝ ᡩᠣᠯᠣᠮᡝ ᠪᡳ.

- 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/mnc/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 |  |  | ᠵᡠᠯᡝ ᠪᡳ ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᡥᡡᠯᠠᠨ. |
| `video_url` | `video` | string (video URL) | yes |  |  | ᠪᡠᠶᡝᠮᡝᠨᡳ ᠰᡠᠨᡤᠠ ᡳ ᠮᡠᠰᡝ ᠠᠮᠪᠠ ᠠᠯᡳᠨ ᡳ ᠵᠠᠯᡳᠨ. |
| `image_url` | `image` | string (image URL) | yes |  |  | ᠰᡠᠨᡤᠠ ᡳ ᠵᡠᠯᡝ ᠠᠮᠪᠠ ᠠᠯᡳᠨ ᡳ ᠵᠠᠯᡳᠨ, ᠵᡠᠯᡠ ᠵᠠᠯᡠᠮᡝ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᡳᠨ ᡩᡝ ᠪᡳ. |
| `keyframes` |  | array of object {image_url, frame_index} | no |  | ≤ 5 items | ᡝᠯᡝᠪᡠᡵᡝ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ᠈ ᡝᡵᡝᠮᡝ ᠪᡠᠶᡝᠮᡝ ᡶᡳᠯᡝᠮᡝ ᡳᠨᡠ ᠵᠠᠯᠠᠨ ᠵᡝᡵᡤᡳ ᡩᡝ ᠮᡠᠶᠠᡥᡡᠨ ᠪᡠᠮᡝ᠈ ᠠᠯᡳᠮᠪᡳ ᡶᡳᠯᡝᠮᡝ ᡩᡝ ᠪᠠᡳᡨᠠᠯᠠᠩᡤᡝ ᠪᡠᡶᡳ᠈ |
| `keyframes[].image_url` |  | string (image URL) | yes |  |  | ᠵᠠᠯᠠᠨ ᠰᡠᠨᡤᠠ ᡩᡝ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᡩᡝ ᡝᡵᡝᠮᡝ ᠪᡠᠶᡝᠮᡝ ᠵᡠᠸᡝᠨ ᠵᠠᠯᠠᠨ ᡳ ᡩᡠᠯᡝᠪᡠᡵᡝᠩᡤᡝ 0.1 ᡩᡝ ᡳᠯᡳᠪᡠᡵᡝᠩᡤᡝ ᠪᡳᠰᡳ᠈ ᠵᡠᠸᡝᠨ ᠵᠠᠯᠠᠨ ᠵᡝᡵᡤᡳ ᡩᡝ `frame_index` ᡩᡝ ᠠᡵᠠᡥᠠ ᠪᡠᠶᡝᠮᠪᡳ᠈ |
| `keyframes[].frame_index` |  | integer | yes |  | ≥ 1 | `frame_index` ᡳ ᠠᡩᠠᠯᡳ ᠠᡵᠠᠮᠪᡳ᠈ ᠠᠮᠪᠠᠨ 1 ᡩᡝ ᡝᠯᡝᠮᡝ ᠪᡠᡶᡳ᠈ ᠪᡠᠶᡝᠮᡝ ᡳ ᡳᠯᡤᠠᠨ ᡶᡳᠯᡝᠮᡝ ᡩᡝ ᡩᡠᠯᡝᡵᡝᠩᡤᡝ ᠪᡳ᠈ 0 ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᡳ `image_url` ᠰᡳ ᠪᡠᡶᡳ ᡩᡝᡵᡤᡳ ᠪᡠᠶᡝᠮᡝ ᠠᠯᡳᠨᠠᠮᠪᡳ᠈ |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | 1280×720 ᠠᠮᠠᠯᡠ 720p ᠵᡠᠸᡝᠨ᠈ 720×1280 ᠠᠮᠠᠯᡠ 720p ᠵᡠᠸᡝᠨ᠈ 832×480 ᠠᠮᠠᠯᡠ 480p ᠵᡠᠸᡝᠨ᠈ 480×832 ᠠᠮᠠᠯᡠ 480p ᠵᡠᠸᡝᠨ ᠰᡳᠯᡤᡝᠮᠪᡳ᠈ ᡥᠠᠴᡳᠨ ᠰᡠᠨᡤᠠ ᡳ ᠵᡠᠯᡤᡝ ᡳᠨᡠ ᠵᠠᠯᠠᠨ ᠵᡠᠯᡤᡝ ᠪᡝ ᠵᠠᡥᠠᠪᡠᡵᡝᠩᡤᡝ ᠪᡳ᠈ |
| `num_frames` |  | integer | no | `81` | 17 – 241 | ᠪᡠᠶᡝᠮᡝ ᡳ ᡳᠯᡤᠠᠨ ᡶᡳᠯᡝᠮᡝ ᡳ ᠵᡠᠯᡤᡝ ᠪᡝ ᠵᠠᠯᠠᠨ ᠪᡠᡶᡳ᠈ ᠰᡳᠯᡤᡝᠯᡝᠮᡝ ᡩᡝ ᠵᡠᠯᡤᡝᠪᡝ ᠵᠠᠯᠠᠨ ᠪᡠᡶᡳ ᠠᠮᠪᠠᠨ ᠪᡠᡵᡝᠩᡤᡝ ᠪᡳ᠈ |
| `segmentation_prompt` |  | string | no | `person` | ≤ 100 characters | SAM-3 ᡳ ᡥᡡᠯᠠᠨ᠈ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠠᠰᡠᡵᡝ ᡩᡠᠯᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᠪᡳ᠈ ᠵᡠᠯᡤᡝ ᡳ ᡩᡝᡵᡤᡳ ᠪᡠᠶᡝᠮᡝ ᠠᡩᠠᠯᡳ ᠪᡳᠰᡳ᠈ |
| `num_inference_steps` |  | integer | no | `30` | 2 – 40 | ᠣᠷᡳᠯᡝᠮᡝ ᡳ ᠴᠠᠯᡳᠨ ᡩᡝ ᠵᡠᠯᡤᡝ ᡳ ᡩᡠᠯᡝᠪᡠᡵᡝ ᠰᠠᠮᠪᡳ᠈ ᡝᡵᡝᠮᡝ ᠵᠠᠯᠠᠨ ᠣᠯᡥᠣ ᠪᡝ ᡝᠯᡝᠮᡝ ᠴᠠᠯᠠᠮᠪᡳ᠈ |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | ᡥᡡᠯᠠᠨ ᡩᡝ ᠠᠰᡠᡵᡝ ᠠᠯᡳᠨ ᠵᡠᠸᡝᠨ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᠪᡳ᠈ ᡠᠰᡳᡥᠠ ᠵᡠᠯᡤᡝ ᡩᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠪᠠᡳᡨᠠᠯᠠᠮᡝ ᠵᡠᠯᡤᡝ ᡩᡝ ᠵᡠᠯᡤᡝ ᠪᡠᡶᡳ ᠪᡠᡶᡳ᠈ |
| `vace_scale` |  | number | no | `1` | 0 – 2 | VACE ᠵᡠᠯᡤᡝᠮᡝ ᡳ ᠠᠮᠠᠯᡠ ᠵᡠᠯᡤᡝ ᠰᡠᠨᡤᠠ ᡩᡝ ᠠᠰᡠᡵᡝ ᠠᠯᡳᠨ ᠵᠠᠯᠠᠨᠠᠮᠪᡳ᠈ |
| `seed` |  | integer \| null | no |  |  | ᡳᠯᡤᠠᠨ ᠰᡝᠮᡝ ᠮᡠᠶᠠᡥᡡᠨ ᡤᡝᡪᡳᠯᡝᠨ ᡩᡝ ᠠᠯᡳᠨ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᡝ ᠠᡵᠠᠮᠪᡳ᠈ |
| `enable_safety_checker` |  | boolean | no | `true` |  | ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᠪᠠᡳᡨᠠᠯᠠᠮᠪᡳ᠈ |

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} | ᠪᡠᠶᡝᠮᡝ ᠵᡠᠴᡝᠨ ᡳ ᡶᡳᠯᡝ᠉ |
| `seed` | integer | ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠶᠠᠪᡠᡥᠠᠨ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠉ |

## 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
