# RIFE · Video API

> موجودہ فریمز کے درمیان 1 سے 4 فریمز کی انٹرپولیشن کے ذریعے ان پٹ ویڈیو کا فریم ریٹ بڑھاتا ہے

`video_url` کے ذریعے ایک ویڈیو لیتا ہے اور اصل فریموں کے ہر جوڑے کے درمیان `num_frames` (1 سے 4) نئے فریم داخل کرتا ہے۔ `use_scene_detection` کلپ کو سین کٹس پر تقسیم کرتا ہے تاکہ دھندلے فریموں سے بچا جا سکے، `loop` آخری فریم کو واپس پہلے فریم کے ساتھ ملا دیتا ہے، اور جب `use_calculated_fps` آف ہو تو `fps` مینوئل آؤٹ پٹ ریٹ سیٹ کرتا ہے۔

- Model id: `rife/video`
- Made by: Open model
- Category: Video to Video
- Output: video
- Charged by usage (up to $4.68 per run, typical $0.021; the rest of the hold is refunded): $0.0013 / second of processing time (cheapest run $0.021 (21 API credits))
- Run: `POST https://api.doitong.ru/v1/run/rife/video`
- Quote: `POST https://api.doitong.ru/v1/quote/rife/video`
- Docs page: https://doitong.com/ur/developers/models/rife/video

## Pricing

Price: **$0.0013 / second of processing time**. Charged by actual usage at $0.0013 / second of processing time: up to $4.68 per run (the quote gives the maximum for your input), the rest is refunded automatically after the run. A typical run costs $0.021.

The full example input below holds up to $4.68 = 4680 API credits (up to 3600 s of processing time × $0.0013) when it starts; a typical run costs $0.021 (21 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). This model is charged by usage: `POST https://api.doitong.ru/v1/quote/rife/video` with the same JSON body returns the most the run can cost for that input (`credits`, debited when the run starts); after the run you pay the usage the model reports and the rest is refunded automatically. An input whose maximum would exceed the per-run limit is refused with 422. 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 |  |  | انٹرپولیشن کے لیے استعمال ہونے والی ویڈیو کی طرف اشارہ کرنے والا URL۔ |
| `num_frames` |  | integer | no | `1` | 1 – 4 | ان پٹ ویڈیو کے فریموں کے درمیان تخلیق کیے جانے والے نئے فریموں کی تعداد۔ |
| `use_scene_detection` |  | boolean | no | `false` |  | انٹرپولیشن کے لیے منظر کی حدود کا طریقۂ کار: False پوری ویڈیو کو ایک منظر کے طور پر برقرار رکھتا ہے، جبکہ True مناظر کا پتا لگا کر انٹرپولیشن سے پہلے انہیں تقسیم کرتا ہے۔ تقسیم کرنے سے دھندلے تبدیلی والے فریم ختم ہو جاتے ہیں، اگرچہ غلط شناخت سے جھوٹے مثبت نتائج آ سکتے ہیں۔ |
| `use_calculated_fps` |  | boolean | no | `true` |  | آؤٹ پٹ فریم ریٹ کا ماخذ: False کے ساتھ فراہم کردہ FPS لاگو ہوتا ہے، جبکہ True اسے ان پٹ ویڈیو کے حساب شدہ FPS کو فریموں کی تعداد سے ضرب دے کر اوور رائٹ کرتا ہے۔ |
| `fps` |  | integer | no | `8` | 1 – 60 | فریم ریٹ کی ترتیب، صرف use_calculated_fps کو False پر سیٹ کرنے کے ساتھ استعمال ہوتی ہے، اور بتاتی ہے کہ آؤٹ پٹ ویڈیو ہر سیکنڈ میں کتنے فریم چلاتی ہے۔ |
| `loop` |  | boolean | no | `false` |  | کنٹرول کرتا ہے کہ آخری فریم سے پہلے فریم پر واپس آ کر پلے بیک مسلسل لوپ بنائے یا نہیں: True اس واپسی کو فعال کرتا ہے، جبکہ False اسے غیر فعال رکھتا ہے۔ |

File parameters (`video`) 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"
}
```

A fuller example:

```json
{
  "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
```

## 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.ru/v1/run/rife/video?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"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/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/rife/video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  }),
});
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.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/rife/video", 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.ru/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": "rife/video",
      "input": {
        "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
      },
      "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": "rife/video",
  "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": 4680,
    "usd": "4.68",
    "charged": 4680,
    "refunded": 0
  },
  "input": {
    "video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
  },
  "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
    }
  },
  "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | انٹرپولیٹ کیے گئے فریموں پر مشتمل آؤٹ پٹ ویڈیو فائل۔ |

## Related models

- [RIFE](https://doitong.com/developers/models/rife.md) (`rife`): $0.0013 / second of processing time
- [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/rife/video
- 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=rife/video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/rife/video