# Bytedance Upscaler Upscale Video API

> ကြိုတင်သတ်မှတ်ချက်များ၊ အရည်အသွေးအဆင့်များ၊ frame-rate နှင့် bit-depth ရွေးချယ်စရာများဖြင့် ဗီဒီယိုကို 8K အထိ အရည်အသွေးမြှင့်တင်ပေးသည်

`video_url` ကို လက်ခံပြီး ၎င်း၏ ရုပ်ထွက်အရည်အသွေးကို `target_resolution` (1080p မှ 8k အထိ) သို့ မြှင့်တင်ပေးသည်၊ သို့မဟုတ် `scale_ratio` 1.1 မှ 10 အထိကို အသုံးပြုနိုင်သည်။ `target_fps` သည် 24 မှ 120 အထိဖြစ်သည်။ `enhancement_preset` သည် ugc သို့မဟုတ် old_film ကဲ့သို့သော အကြောင်းအရာများနှင့် သင့်လျော်သည်။ `enhancement_tier` သည် fast၊ standard သို့မဟုတ် pro ဖြစ်နိုင်ပြီး 10 သို့မဟုတ် 12 `bit_depth` သည် pro အဆင့် လိုအပ်သည်။

- Model id: `bytedance-upscaler/upscale/video`
- Made by: ByteDance
- Category: Upscale
- Output: video
- Price per second of your input video: from $0.0072 / second of input video (cheapest run $0.008 (8 API credits))
- Run: `POST https://api.doitong.com/v1/run/bytedance-upscaler/upscale/video`
- Quote: `POST https://api.doitong.com/v1/quote/bytedance-upscaler/upscale/video`
- Docs page: https://doitong.com/my/developers/models/bytedance-upscaler/upscale/video

## Pricing

Price: **from $0.0072 / second of input video** (the lowest tier; the quote prices your exact input). Price per second of your input 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:

- 1080p: $0.0072 / second of input video
- 2K: $0.0144 / second of input video
- 4K: $0.0288 / second of input video
- 1080p, frame rate: $0.0288 / second of input video
- 2K, frame rate: $0.0576 / second of input video
- 1080p, pro: $0.072 / second of input video
- 6K: $0.0737 / second of input video
- 8K: $0.1152 / second of input video
- 4K, frame rate: $0.1152 / second of input video
- 2K, pro: $0.144 / second of input video
- 4K, pro: $0.288 / second of input video
- 1080p, pro, frame rate: $0.288 / second of input video
- 6K, frame rate: $0.2948 / second of input video
- 8K, frame rate: $0.4608 / second of input video
- 2K, pro, frame rate: $0.576 / second of input video
- 6K, pro: $0.737 / second of input video

The full example input below costs $0.072 = 72 API credits (10 s input video × $0.0072 (1080p)).

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/bytedance-upscaler/upscale/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 |
|---|---|---|---|---|---|---|
| `video_url` | `video` | string (video URL) | yes |  |  | အရည်အသွေးမြှင့်တင်ရန် မူရင်းဗီဒီယိုကို ညွှန်ပြသော URL။ |
| `target_resolution` |  | enum (string) | no | `1080p` | `1080p`, `2k`, `4k`, `6k`, `8k` | အရည်အသွေးမြှင့်တင်ပြီး ဗီဒီယိုအတွက် လိုချင်သော ရုပ်ထွက်အရည်အသွေး။ |
| `target_fps` |  | number | no | `30` | 24 – 120 | မြှင့်တင်ထားသော ထွက်ရလဒ်အတွက် လိုချင်သော ဖရိမ်နှုန်းကို ဖရိမ် per စက္ကန့် ဖြင့် တိုင်းတာသည်။ |
| `enhancement_preset` |  | enum (string) | no | `general` | `general`, `ugc`, `short_series`, `aigc`, `old_film` | ဗီဒီယိုအမျိုးအစားနှင့် ကိုက်ညီသော မြှင့်တင်မှု preset။ အထွေထွေပြုလုပ်မှုအတွက် 'general'၊ အသုံးပြုသူဖန်တီး ဗီဒီယိုတိုများအတွက် 'ugc'၊ ဒရာမာတိုများအတွက် 'short_series'၊ AI ဖြင့် ဖန်တီးထားသော အကြောင်းအရာအတွက် 'aigc' နှင့် ရုပ်ရှင်ဟောင်းများ ပြန်လည်ပြုပြင်ရန် 'old_film' ကို အသုံးပြုပါ။ |
| `enhancement_tier` |  | enum (string) | no | `standard` | `fast`, `standard`, `pro` | မြှင့်တင်မှုအတွက် အသုံးပြုမည့် အရည်အသွေးအဆင့်။ |
| `scale_ratio` |  | number \| null | no |  | 1.1 – 10 | ထွက်ရလဒ် ရုပ်ထွက်အရည်အသွေးမြှောက်ကိန်း။ 1.1 မှ 10.0 အထိ ဖြစ်သည်။ ပေးထားပါက target_resolution အစား ၎င်းကို အသုံးပြုပြီး ထည့်သွင်းချက်ရုပ်ထွက်အရည်အသွေးကို မြှောက်ပေးသည် (ဥပမာ 2.0 သည် နှစ်ဆမြှောက်သည်)။ 3840x2160 စုစုပေါင်းပစ်ဇယ်အရေအတွက်ဟု သတ်မှတ်ထားသော 4k အထိသာ scaling ကို ပံ့ပိုးသည်။ ထိုကန့်သတ်ချက်ကျော်လွန်ပါက အမှားဖြစ်ပေါ်မည်။ |
| `fidelity` |  | enum (string) | no | `high` | `high`, `medium` | မြှင့်တင်မှုအဆင့်။ 'medium' သည် ပုံအရည်အသွေးကို မျှတစွာ မြှင့်တင်ပေးပြီး 'high' သည် မူရင်းဗီဒီယို၏ မြင်ကွင်းဆိုင်ရာ texture ကို အများအားဖြင့် ထိန်းသိမ်းထားကာ အနည်းငယ်သာ မြှင့်တင်ပေးသည်။ |
| `bit_depth` |  | enum (integer) | no | `8` | `8`, `10`, `12` | ထွက်ရလဒ်ဗီဒီယို၏ color bit depth ကို ရွေးချယ်ပါ။ 10-bit သို့မဟုတ် 12-bit ထွက်ရလဒ်အတွက် Pro မြှင့်တင်မှုအဆင့် လိုအပ်သည်။ |

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.com/v1/run/bytedance-upscaler/upscale/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.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/bytedance-upscaler/upscale/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.com/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/bytedance-upscaler/upscale/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": "bytedance-upscaler/upscale/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": "bytedance-upscaler/upscale/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": 72,
    "usd": "0.072",
    "charged": 72,
    "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
    },
    "duration": 5
  },
  "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} | ရရှိလာသော ဗီဒီယိုဖိုင်။ |
| `duration` | number |  |

## Related models

- [Topaz Image Upscale](https://doitong.com/developers/models/topaz/upscale/image/precision.md) (`topaz/upscale/image/precision`): $0.08 / 24 megapixels of output image
- [Topaz Video Upscale](https://doitong.com/developers/models/topaz/upscale/video/precision.md) (`topaz/upscale/video/precision`): from $0.00667 / second of input video
- [SeedVR2 · Image](https://doitong.com/developers/models/seedvr/upscale/image.md) (`seedvr/upscale/image`): $0.001 / megapixel of output image
- [SeedVR2 · Image · Seamless](https://doitong.com/developers/models/seedvr/upscale/image/seamless.md) (`seedvr/upscale/image/seamless`): $0.0025 / megapixel of output image
- [SeedVR2 · Video](https://doitong.com/developers/models/seedvr/upscale/video.md) (`seedvr/upscale/video`): $0.001 / megapixel of output video
- [AuraSR](https://doitong.com/developers/models/aura-sr.md) (`aura-sr`): $0.001111 / second of processing time
- [Bria Increase Resolution](https://doitong.com/developers/models/bria/increase-resolution.md) (`bria/increase-resolution`): $0.04 / image
- [Chrono Edit Lora Gallery · Upscaler](https://doitong.com/developers/models/chrono-edit-lora-gallery/upscaler.md) (`chrono-edit-lora-gallery/upscaler`): $0.03 / image

## Links

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