# Scail 2 API

> ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᠮᡠᠶᠠᠮᡝ ᠴᡳ ᠵᠠᠩᡤᡳ ᡳ ᠪᠠᠶᠠᠨ ᡤᠠᠳᠠᠨ ᠪᡝ ᠠᠮᠠᠯᠠ ᡩᡝᡵᡳ ᠮᡠᠶᠠᠮᡝ ᠵᠠᠰᡳᠨᠠ

ᡩᠠ ᠪᡝᠶᡝ ᡳ `image_url` ᡝᠪᡝ ᡝᠮᡤᡳ ᠨᡳᠶᠠᠯᠮᠠ, ᡠᡩᡠ ᠨᡳᠶᠠᠯᠮᠠ ᡝᠪᡝ ᡝᠮᡤᡳ ᡤᡠᠯᠮᠠᡥᡡᠨ ᠪᡝ ᡨᡠᠴᡳᠪᡠᡵᡝ ᡩᠠᠰᠠᡵᠠ `video_url` ᠪᡝ ᡤᠠᡳᠮᠪᡳ. `animation` ᡩᡠᡵᡠᠨ ᡩᡝ ᠪᡝᠶᡝ ᡩᠠᠰᠠᡵᠠ ᡝᠶᡝᠨ ᠪᡝ ᡳᡩᡠᠮᠪᡳ; `replacement` ᡩᡠᡵᡠᠨ ᡩᡝ ᡩᠠ ᠪᠠ ᠪᡝ ᡨᡝᡨᡝᠮᠪᡳ ᠪᡳᡩᡝ ᠪᡝᠶᡝ ᠪᡝ ᡴᡡᠪᡠᠯᡳᠪᡠᠮᠪᡳ. ᡴᡝᠮᡠᠨ ᠪᡝ 512p ᡝᠪᡝ ᡝᠮᡤᡳ 704p ᠣᠪᡠᠮᠪᡳ, ᡩᡝᡵᡤᡳ ᠠᠮᠠᡵᡤᡳ ᠪᡝ ᠨᡳᡵᡠᡤᠠᠨ ᠴᡳ ᠰᠣᠨᠵᠣᠮᠪᡳ. `driving_type` ᠪᡝ ᡩᠠᡵᡝ ᡝᠶᡝᠪᡠᡵᡝ ᡝᠪᡝ ᡝᠮᡤᡳ ᡤᡳᡵᠠᠩᡤᡳ ᡩᡠᡵᡠᠨ ᠪᡝ ᠪᠠᡳᡨᠠᠴᡳ ᠣᠮᠪᡳ.

- Model id: `scail-2`
- Made by: Open model
- Category: Video to Video
- Output: video
- Price per second of your input video: $0.20 / second of input video (cheapest run $0.20 (200 API credits))
- Run: `POST https://api.doitong.com/v1/run/scail-2`
- Quote: `POST https://api.doitong.com/v1/quote/scail-2`
- Docs page: https://doitong.com/mnc/developers/models/scail-2

## Pricing

Price: **$0.20 / second of input video**. 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.

The full example input below costs $2.00 = 2000 API credits (10 s input video × $0.20).

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/scail-2` 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 |  |  | ᠪᡠᠶᡝᠮᡝ ᠰᡠᠨᡤᠠ ᡳ ᡵᡝᡵᡝ ᡳ ᡥᡡᠯᠠᠨ. |
| `image_url` | `image` | string (image URL) | yes |  |  | ᠵᠠᠯᡳᠨ ᡳ ᠵᠠᠯᡳᠨ ᡳ ᠮᡠᠶᠠᡥᠠᠨ ᡩᠠᠨ ᡩᠠᡵᡤᠠᠨ, ᠵᡠᠯᡝᠮᡝ ᡤᡳᠰᡠᠨ ᠵᠠᠯᡳᠨ ᡳ ᠵᠠᠯᡳᠨ ᡩᠠ ᠪᡠᠮᠪᡳ. |
| `video_url` | `video` | string (video URL) | yes |  |  | ᡝᠮᡠ ᠮᡝᠨᡳ ᠠᡴᡡ ᡩᠠᡵᡤᠠᠨ ᡳ ᠰᡠᠨᡤᠠ ᡩᠠ ᠪᡠᠮᠪᡳ; ᡝᠮᡠ ᠵᡠᠯᡝ ᡩᠠᠨ, ᠮᡠᠶᠠᡥᠠᠨ ᠮᡝᠨᡳ, ᠠᡴᡡ ᠠᠨᡳᠶᠠ. |
| `mode` |  | enum (string) | no | `animation` | `animation`, `replacement` | ᡩᠠᡵᡤᠠᠨ ᡳ ᡳᠯᡳᠮᡝ ᠪᡝ ᠵᡠᠯᡝ: `replacement` ᡳᠨᡝ ᠵᠠᠯᡳᠨ ᡳ ᠵᠠᠯᡳᠨ ᡩᠠ ᠪᡠᠮᡝ; `animation` ᡳ ᡩᠠᡵᡤᠠᠨ ᡳ ᠮᡠᠶᠠᡥᠠᠨ ᠪᡝ ᠵᠠᠯᡳᠨ ᡩᠠ ᠪᡠᠮᠪᡳ. |
| `driving_type` |  | enum (string) | no | `end_to_end` | `end_to_end`, `pose` | ᠮᡠᠶᠠᡥᠠᠨ ᡳ ᠵᠠᠯᡳᠨ ᡩᠠᡵᡤᠠᠨ ᡳ ᠰᡠᠨᡤᠠ ᡩᠠᠮᡠ ᠴᡳᠨᡩᠠᠮᡝ ᠪᡳ, SAM3 ᡳ ᠮᠠᠰᡴᠠ ᡩᠠ `end_to_end`, ᠵᡠᠯᡝ ᡳ ᠵᠠᠯᡳᠨ. `pose` ᡳ NLF/DWPose ᡳ ᠪᡝᡵᠣᠯᡝᠨ ᠮᠠᠨᡤᡳᠨ ᠪᡝ ᠪᡠᠶᡝᠮᡝ ᠪᡠᠮᠪᡳ. |
| `subject_type` |  | enum (string) | no | `human` | `human`, `animal` | ᡩᠠᡵᡤᠠᠨ ᡳ ᠰᡠᠨᡤᠠ ᡳ ᠵᠠᠯᡳᠨ ᡳ ᠵᡠᠯᡝ; `animal` ᠪᡝ ᠠᠰᡥᠠᠨᠠᡥᠠ ᠴᡳ SAM3 ᡳ `human` ᠠᡴᡡ ᠨᡳᠶᠠᠯᠮᠠ ᡳ ᠵᡠᠯᡝ ᠪᡝ ᠵᡠᠯᡝᠮᡝ ᠪᡠᠮᠪᡳ. |
| `resolution` |  | enum (string) | no | `512p` | `512p`, `704p` | ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᡳᠨ ᡳ ᠵᠠᠯᡳᠨ ᡳ ᠵᠠᠯᡳᠨ ᡩᠠ ᠵᠠᠯᡳᠨ ᡳ ᠵᠠᠯᡳᠨ ᡳ ᠵᠠᠯᡳᠨ ᡩᠠ ᠵᡠᠯᡝ. ᠠᠯᡳᠨ ᡩᠠ 512p 896x512, 704p 1280x704; ᠪᡝᠮᡝ ᡩᠠ 512x896 ᠴᡳ 704x1280. |
| `num_inference_steps` |  | integer | no | `40` | 2 – 50 | Diffusion ᠵᡠᠯᡝᠮᡝ ᠵᠠᠯᡳᠨ ᡳ ᠴᠠᠯᠠᠨ; ᠵᡠᠯᡝ ᠪᡳᠮᡝ ᠵᠠᠯᡳᠨ ᠰᡳᠨᡩᠠ ᠪᡳᠮᡝ ᠵᠠᠯᡳᠨ ᠠᠯᡳᠨ. |
| `guidance_scale` |  | number | no | `5` | 1 – 10 | ᡥᡡᠯᠠᠨ ᡩᡝ ᠠᠰᡠᡵᡝ ᠠᠯᡳᠨ ᠵᡠᠸᡝᠨ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᠪᡳ᠈ ᡠᠰᡳᡥᠠ ᠵᡠᠯᡤᡝ ᡩᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠪᠠᡳᡨᠠᠯᠠᠮᡝ ᠵᡠᠯᡤᡝ ᡩᡝ ᠵᡠᠯᡤᡝ ᠪᡠᡶᡳ ᠪᡠᡶᡳ᠈ |
| `shift` |  | number | no | `3` | 1 – 10 | flow matching ᡳ ᠵᡠᠯᡝ ᠵᠠᠯᡳᠨ ᡩᠠᠮᡠ; 512p ᠰᡠᠯᡝ 3.0 ᠵᡠᠯᡝ. |
| `seed` |  | integer \| null | no |  |  | ᠪᡠᠶᡝᠮᡝ ᡩᠠᠨ ᡳ ᠵᠠᠯᡳᠨ ᡩᠠ ᠪᡠᠮᠪᡳ; ᠠᠰᡥᠠᠨᠠᡥᠠ ᠠᠴᡳ ᠠᡴᡡ ᠠᠯᡳᠨ ᠵᡠᠯᡝᠮᡝ ᠪᡳᠮᡝ. |
| `enable_safety_checker` |  | boolean | no | `true` |  | ᠠᠰᡠᡵᠠᠮᡝ ᠠᠨᡩᠠ ᠪᡳᠮᡝ ᠰᠠᡳᠨ᠈ ᠵᡠᠴᡝᠨ ᠵᡠᠰᡝ ᠠᠰᡠᡵᠠᠮᡝ᠉ |

File parameters (`image`, `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",
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "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",
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
  "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/scail-2?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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "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/scail-2?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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "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/scail-2", 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": "scail-2",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        "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": "scail-2",
  "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": 2000,
    "usd": "2.00",
    "charged": 2000,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    "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,
    "preprocessing_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
    },
    "preprocessing_mask_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.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} | ᠪᡠᠶᡝᠮᡝ ᠵᡠᠴᡝᠨ ᡳ ᡶᡳᠯᡝ᠉ |
| `seed` | integer | ᠰᡠᠨᡤᠠ ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᠠᠯᡳᠨ. |
| `preprocessing_video` | object {url, content_type, file_name, file_size} \| null | Stage-A ᡳ ᠵᠠᠯᡳᠨ ᡳ ᡩᠠᠨ ᠪᡝ diffusion ᠮᠣᠳᡝᠯ ᡩᠠ ᠪᡠᠮᠪᡳ ᠰᡝᠮᡝ ᠵᡠᠯᡝ ᡳ ᠰᡠᠨᡤᠠ; ᡳᠨᡝ `output_preprocessing=true` ᠪᡳᠮᡝ. `driving_type`: `end_to_end` ᡳ SAM3 ᡳ ᠮᠠᠰᡴᠠ ᠰᡠᠨᡤᠠ, `driving_type=pose` ᡳ NLF/DWPose ᡳ ᠮᠠᠨᡤᡳᠨ. |
| `preprocessing_mask_video` | object {url, content_type, file_name, file_size} \| null | Stage-A ᡳ ᠵᠠᠯᡳᠨ ᡳ ᠮᠠᠰᡴᠠ ᠰᡠᠨᡤᠠ; `output_preprocessing=true` ᠪᡳᠮᡝ ᠠᠰᡥᠠᠨᠠ. |

## 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/scail-2
- 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=scail-2
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/scail-2