# Void Video Inpainting API

> ماسک ویڈیو یا متنی ماسک پرامپٹ کے ذریعے منظر پر موجود اثرات سمیت ویڈیو سے کسی شے کو ہٹاتا ہے

`video_url` اور مطلوبہ پسِ منظر بیان کرنے والا `prompt` لیتا ہے۔ `quad_mask_video_url` فراہم کریں، یا ماسک بنوانے کے لیے `mask_prompt` دیں۔ کنٹرولز میں `num_frames` (1-197)، `num_inference_steps` (1-50)، `guidance_scale`، `strength` اور زمانی یکسانیت کے لیے اختیاری سست `enable_pass2_refinement` شامل ہیں۔

- Model id: `void-video-inpainting`
- Made by: Open model
- Category: Video to Video
- Output: video
- Price per run: from $0.10 / run (cheapest run $0.10 (100 API credits))
- Run: `POST https://api.doitong.com/v1/run/void-video-inpainting`
- Quote: `POST https://api.doitong.com/v1/quote/void-video-inpainting`
- Docs page: https://doitong.com/ur/developers/models/void-video-inpainting

## Pricing

Price: **from $0.10 / run** (the lowest tier; the quote prices your exact input). Price per run: 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 $0.10 = 100 API credits (1 run × $0.10).

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/void-video-inpainting` 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 |  |  | ماخذ ویڈیو کا URL جس میں ہٹائے جانے والے آبجیکٹ شامل ہے۔ |
| `quad_mask_video_url` |  | string (video URL) | no | `` |  | ہٹانے کے ماسک کی ویڈیو کا URL؛ اگر موجود نہ ہو تو ایپ `mask_prompt` کے ذریعے SAM-3 ویڈیو اینڈ پوائنٹ سے عارضی ویڈیو ماسک بناتی ہے، پھر اسے خودکار طور پر quadmask میں تبدیل کرتی ہے۔ بہترین نتائج کے لیے 4 grayscale قدروں والا VOID-style quadmask فراہم کریں: برقرار رہنے والے پس منظر کے لیے 255، متاثرہ حصے کے لیے 127، overlap کے لیے 63، اور ہٹائے جانے والے آبجیکٹ کے لیے 0۔ Binary masks بھی قبول ہیں، جن میں برقرار رکھنے کے لیے 255 اور ہٹانے کے لیے 0 استعمال ہوتا ہے۔ |
| `mask_prompt` |  | string \| null | no |  |  | SAM-3 کے لیے ماسک کے ہدف کی ہدایات، جب `quad_mask_video_url` فراہم نہ ہو تو عارضی ماسک ویڈیو بنانے کے لیے۔ واضح کریں کہ کیا ماسک کرنا ہے، مثلاً ماخذ ویڈیو سے ہٹایا جانے والا آبجیکٹ یا شخص۔ |
| `prompt` |  | string | yes |  |  | آبجیکٹ ہٹائے جانے کے بعد پس منظر کی ظاہری شکل بتانے والی تفصیل۔ |
| `enable_pass2_refinement` |  | boolean | no | `false` |  | اختیاری VOID refinement جو طویل کلپس میں ممکنہ طور پر بہتر temporal consistency کے بدلے سست پروسیسنگ اختیار کرتا ہے۔ یہ Pass 1 کے بعد Pass 2 کے طور پر warped-noise refinement لاگو کرتا ہے۔ |
| `negative_prompt` |  | string | no | `The video is not of a high quality, it has a low resolution. Watermark present in each frame. The background is solid. Strange body and strange trajectory. Distortion.` |  | ناپسندیدہ نتائج بیان کرنے والا پرامپٹ، تاکہ تخلیق ان سے دور رہے۔ |
| `num_inference_steps` |  | integer | no | `30` | 1 – 50 | Denoising steps کی تعداد۔ اسے بڑھانے سے معیار بہتر ہوتا ہے، مگر تاخیر بڑھتی ہے۔ |
| `guidance_scale` |  | number | no | `1` | 0 – 20 | classifier-free guidance کی طاقت۔ |
| `strength` |  | number | no | `1` | 0 – 1 | Denoising کی طاقت؛ 1.0 مکمل denoising کو ظاہر کرتا ہے۔ |
| `seed` |  | integer \| null | no |  |  | قابلِ تکرار نتائج کے لیے بے ترتیبی کو کنٹرول کرنے والا سیڈ۔ |
| `num_frames` |  | integer | no | `85` | 1 – 197 | مطلوبہ temporal inference window، جسے backend CogVideoX-safe سائزز 69، 77، 85، ...، 197 میں سے ایک پر ایڈجسٹ کرتا ہے۔ temporal compression اور patching کے مطابق قریب ترین سائز منتخب کیا جاتا ہے۔ |
| `enable_safety_checker` |  | boolean | no | `true` |  | تخلیق کردہ مواد کے لیے حفاظتی جانچ فعال کرتا ہے۔ |

File parameters (`video`, `quad_mask_video_url`) 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",
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

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

## 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/void-video-inpainting?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",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

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

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/void-video-inpainting", 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": "void-video-inpainting",
      "input": {
        "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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": "void-video-inpainting",
  "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": 100,
    "usd": "0.10",
    "charged": 100,
    "refunded": 0
  },
  "input": {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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,
    "timings": {}
  },
  "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} | آبجیکٹ ہٹانے کے بعد حاصل ہونے والی ویڈیو۔ |
| `seed` | integer | تخلیق کے دوران لاگو ہونے والی سیڈ قدر۔ |
| `timings` | object | پائپ لائن کے ہر مرحلے کی timing تفصیلات۔ |

## Related models

- [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
- [ID-V2V](https://doitong.com/developers/models/id-v2v.md) (`id-v2v`): $0.20 / second of output video

## Links

- HTML page: https://doitong.com/developers/models/void-video-inpainting
- 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=void-video-inpainting
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/void-video-inpainting