# Void Video Inpainting API

> Ewechhuele vun engem Objet aus engem Video zesumme mat sengen Auswierkungen op d’Szen, mat engem Mask-Video oder Text-Mask-Prompt

Huelt `video_url` an e `prompt`, deen den gewënschten Hannergrond beschreift. Gitt e `quad_mask_video_url` un oder `mask_prompt`, fir eng Mask generéieren ze loossen. D’Kontrollen enthalen `num_frames` (1-197), `num_inference_steps` (1-50), `guidance_scale`, `strength` an déi optional, méi lues `enable_pass2_refinement` fir temporär Konsistenz.

- 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/lb/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 |  |  | Quellvideo-URL mat dem Objet, deen ewechgeholl soll ginn. |
| `quad_mask_video_url` |  | string (video URL) | no | `` |  | URL vum Video mat der Ewechhuelungs-Mask; wann net ugi, erstellt d'App eng temporär Videomask iwwer de SAM-3-Video-Endpunkt mat `mask_prompt` a konvertéiert se automatesch an eng Quadmask. Fir déi bescht Resultater gitt eng VOID-Quadmask mat 4 Graustufenwäerter un: 255 fir den erhaleenen Hannergrond, 127 fir de betraffene Beräich, 63 fir Iwwerlappung an 0 fir den Objet, deen ewechgeholl gëtt. Binär Masken ginn och akzeptéiert, mat 255 fir ze behalen an 0 fir ze läschen. |
| `mask_prompt` |  | string \| null | no |  |  | Mask-Zil-Instruktioune fir SAM-3, fir eng temporär Mask-Video ze erstellen, wann keng `quad_mask_video_url` geliwwert gëtt. Identifizéiert, wat maskéiert soll ginn, zum Beispill en Objet oder eng Persoun, déi aus dem Quellvideo ewechgeholl soll ginn. |
| `prompt` |  | string | yes |  |  | Beschreiwung, wéi den Hannergrond ausgesi soll, nodeems den Objet ewechgeholl gouf. |
| `enable_pass2_refinement` |  | boolean | no | `false` |  | Optional VOID-Verbesserung, déi méi lues Veraarbechtung géint méiglecherweis besser temporär Konsistenz a méi laange Clips tauscht. Si applizéiert Warped-Noise-Verbesserung als Pass 2 no Pass 1. |
| `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.` |  | Negative Prompt, deen onerwënscht Resultater beschreift, fir d'Generatioun dovun ewechzesteieren. |
| `num_inference_steps` |  | integer | no | `30` | 1 – 50 | Zuel vun den Denoising-Schrëtt. Eng Erhéijung verbessert d'Qualitéit, erhéicht awer d'Latenz. |
| `guidance_scale` |  | number | no | `1` | 0 – 20 | Stäerkt vun der classifier-free Guidance. |
| `strength` |  | number | no | `1` | 0 – 1 | Stäerkt vum Denoising; 1.0 bedeit komplett Denoising. |
| `seed` |  | integer \| null | no |  |  | Seed, deen d'Zoufällegkeet fir reproduzéierbar Resultater steiert. |
| `num_frames` |  | integer | no | `85` | 1 – 197 | Ugefrote temporär Inferenzfënster, déi vum Backend op eng vun de CogVideoX-kompatibele Gréissten 69, 77, 85, ..., 197 ugepasst gëtt. Déi nooste Gréisst gëtt ausgewielt, fir temporär Kompressioun a Patching z'erméiglechen. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Sécherheetskontrolle fir generéierten Inhalt aktivéieren. |

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} | Resultéierende Video nom Ewechhuele vum Objet. |
| `seed` | integer | Seed-Wäert, deen während der Generatioun applizéiert gouf. |
| `timings` | object | Detailer vum Timing pro Etapp fir d'Pipeline. |

## 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