# MAGI-1 (Distilled) · Extend Video API

> ရွေးချယ်ထားသော စတင်ဖရိမ်မှ ရှိပြီးသားဗီဒီယိုကို ဆက်လက်ဖန်တီးပြီး ဖရိမ်အသစ် 96 မှ 192 အထိ ထုတ်ပေးသည်

`video_url` ရှိ ရင်းမြစ်အပိုင်းနှင့် `prompt` ကို လက်ခံပြီး ဆက်လက်ဖြစ်ပေါ်မည့်အကြောင်းအရာကို ဖန်တီးသည်။ `start_frame` က ဖန်တီးမှုစတင်မည့်နေရာကို သတ်မှတ်ပြီး ၎င်းမတိုင်မီ ဖရိမ်များကို မပြောင်းလဲဘဲ ထားသည်။ `num_frames` သည် 96 မှ 192 အထိဖြစ်ပြီး ထွက်ရလဒ်မှာ 480p သို့မဟုတ် 720p ဖြစ်သည်။ အဆင့်အရေအတွက်မှာ 4၊ 8၊ 16 သို့မဟုတ် 32 ဖြစ်သည်။ ရွေးချယ်ထားသော အချိုးအစားနှင့် မကိုက်ညီသော ထည့်သွင်းချက်ကို အရွယ်ပြောင်းပြီး အလယ်မှ ဖြတ်တောက်သည်။

- Model id: `magi-distilled/extend-video`
- Made by: Sand AI
- Category: Video to Video
- Output: video
- Price per second of your output video: from $0.04 / second of output video (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.com/v1/run/magi-distilled/extend-video`
- Quote: `POST https://api.doitong.com/v1/quote/magi-distilled/extend-video`
- Docs page: https://doitong.com/my/developers/models/magi-distilled/extend-video

## Pricing

Price: **from $0.04 / second of output video** (the lowest tier; the quote prices your exact input). 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.

Price by tier:

- 480p: $0.04 / second of output video
- 480p, steps: $0.08 / second of output video
- base rate: $0.08 / second of output video
- steps: $0.16 / second of output video

The full example input below costs $0.32 = 320 API credits (4 s output video × $0.08).

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/magi-distilled/extend-video` 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 |  |  | ဗီဒီယိုဖန်တီးမှုကို လမ်းညွှန်သည့် စာသားညွှန်ကြားချက်များ။ |
| `video_url` | `video` | string (video URL) | yes |  |  | ထွက်ရလဒ်၏ အစတွင် အသုံးပြုသည့် ဗီဒီယို URL။ ရွေးချယ်ထားသော အချိုးအစားနှင့် မကိုက်ညီပါက ထည့်သွင်းချက်ကို အရွယ်ပြောင်းပြီး အလယ်ဗဟိုမှ ဖြတ်တောက်သည်။ |
| `num_frames` |  | integer \| null | no | `96` | 96 – 192 | ထွက်ရလဒ် ဖရိမ်အရေအတွက်။ အနည်းဆုံး 96 နှင့် အများဆုံး 192 ဖြစ်သည်။ |
| `start_frame` |  | integer \| null | no |  | ≥ 0 | မပြောင်းလဲသော အစပိုင်းဗီဒီယိုနှင့် အသစ်ဖန်တီးထားသော ဖရိမ်များကြား နယ်နိမိတ်။ အကောင်းဆုံးရလဒ်အတွက် မူလတန်ဖိုးသည် ဗီဒီယိုအဆုံးမတိုင်မီ 32 ဖရိမ်အကွာတွင် နယ်နိမိတ်ထားသည်။ သတ်မှတ်ထားသော အရေအတွက်အထိ ဖရိမ်များသည် နောက်ဆုံးဗီဒီယိုတွင် မပြောင်းလဲဘဲ ကျန်ရှိပြီး ထို့နောက် ဖန်တီးထားသော ဖရိမ်များကို ပေါင်းထည့်သည်။ |
| `seed` |  | integer \| null | no |  |  | ဖန်တီးမှုကို ထပ်တူပြန်လည်ပြုလုပ်နိုင်စေသည့် seed။ None သတ်မှတ်ပါက seed ကို ကျပန်းရွေးချယ်သည်။ |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `720p` | ထွက်ရလဒ်ဗီဒီယို၏ ရုပ်ထွက်အရည်အသွေး၊ 480p သို့မဟုတ် 720p ဖြစ်နိုင်သည်။ |
| `num_inference_steps` |  | enum (integer) | no | `16` | `4`, `8`, `16`, `32` | နမူနာယူမှု အဆင့်အရေအတွက်။ အရေအတွက်မြင့်လာသည်နှင့်အမျှ လုပ်ဆောင်ချိန် ပိုကြာသော်လည်း အရည်အသွေး ပိုကောင်းလာသည်။ |
| `enable_safety_checker` |  | boolean | no | `true` |  | ပိတ်ထားသော setting အတွက် အကောင့်အတည်ပြုချက် လိုအပ်သော ဘေးကင်းရေးစစ်ဆေးမှု switch ဖြစ်သည်။ ထိုအတည်ပြုချက်မရှိပါက setting မည်သို့ပင်ဖြစ်စေ တောင်းဆိုချက်တိုင်းကို စစ်ဆေးမည်။ true သည် စစ်ဆေးမှုကို ဖွင့်ပေးသည်။ |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1` | 'auto' ဟု သတ်မှတ်ထားပါက ထည့်သွင်းပုံမှ အလိုအလျောက် ရွေးချယ်သော ဖန်တီးထားသောဗီဒီယို အချိုးအစား။ |

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
{
  "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"
}
```

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"
}
```

## 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/magi-distilled/extend-video?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"
  }'

# 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/magi-distilled/extend-video?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"
  }),
});
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",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/magi-distilled/extend-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.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": "magi-distilled/extend-video",
      "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"
      },
      "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": "magi-distilled/extend-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": 320,
    "usd": "0.32",
    "charged": 320,
    "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"
  },
  "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} | ဖန်တီးမှုမှ ထွက်ရှိသည့် ဗီဒီယိုဖိုင်။ |
| `seed` | integer | ဖန်တီးမှုအတွင်း အသုံးပြုသည့် seed တန်ဖိုး။ |

## Related models

- [MAGI-1 (Distilled)](https://doitong.com/developers/models/magi-distilled.md) (`magi-distilled`): from $0.08 / second of output video
- [MAGI-1 (Distilled) · Image to Video](https://doitong.com/developers/models/magi-distilled/image-to-video.md) (`magi-distilled/image-to-video`): from $0.08 / 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
- [Auto-Captioner](https://doitong.com/developers/models/auto-caption.md) (`auto-caption`): $0.10 / video
- [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

## Links

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