# LongCat Video · Text to Video · 480p API

> تبدیل متن به ویدئو در 480p با قاب‌بندی 16:9، 9:16 یا 1:1، کلیپ‌های حداکثر 961 فریم و پرامپت منفی

فقط از یک `prompt` متنی ویدئو تولید می‌کند. `aspect_ratio` می‌تواند 16:9، 9:16 یا 1:1 باشد و `num_frames` در 1 تا 60 `fps` از 17 تا 961 (پیش‌فرض 162) است. `num_inference_steps` (از 8 تا 50)، `guidance_scale` (از 1 تا 10) و پرامپت منفی را ارائه می‌دهد. نتیجه می‌تواند MP4، WebM، ProRes MOV یا GIF باشد.

- Model id: `longcat-video/text-to-video/480p`
- Made by: Meituan
- Category: Text to Video
- Output: video
- Price per second of your output video: $0.025 / second of output video (cheapest run $0.025 (25 API credits))
- Run: `POST https://api.doitong.ru/v1/run/longcat-video/text-to-video/480p`
- Quote: `POST https://api.doitong.ru/v1/quote/longcat-video/text-to-video/480p`
- Docs page: https://doitong.com/fa/developers/models/longcat-video/text-to-video/480p

## Pricing

Price: **$0.025 / second of output video**. 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.

The full example input below costs $0.27 = 270 API credits (10.8 s output video × $0.025).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/longcat-video/text-to-video/480p` 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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | پرامپت هدایت‌کننده تولید ویدیو. |
| `negative_prompt` |  | string | no | `Bright tones, overexposed, static, blurred details, subtitles, style, works, paintings, images, static, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, misshapen limbs, fused fingers, still picture, messy background, three legs, many people in the background, walking backwards` |  | پرامپت منفی استفاده‌شده هنگام تولید ویدیو. |
| `num_frames` |  | integer | no | `162` | 17 – 961 | تعداد فریم خروجی تولیدشده. |
| `num_inference_steps` |  | integer | no | `40` | 8 – 50 | تعداد گام‌های استنتاج انجام‌شده هنگام تولید ویدیو. |
| `guidance_scale` |  | number | no | `4` | 1 – 10 | مقیاس راهنمایی اعمال‌شده هنگام تولید ویدیو. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | نسبت تصویر ویدیوی خروجی. |
| `fps` |  | integer | no | `15` | 1 – 60 | نرخ فریم ویدیوی خروجی. |
| `seed` |  | integer \| null | no |  |  | مقدار seed که تولید اعداد تصادفی را آغاز می‌کند. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | مشخص می‌کند گسترش پرامپت فعال باشد یا نه. |
| `enable_safety_checker` |  | boolean | no | `true` |  | کلید بررسی ایمنی وابسته به مجوز حساب؛ بررسی برای درخواست‌های غیرمجاز الزامی می‌ماند و غیرفعال‌کردن آن به مجوز نیاز دارد. |
| `video_output_type` |  | enum (string) | no | `X264 (.mp4)` | `X264 (.mp4)`, `VP9 (.webm)`, `PRORES4444 (.mov)`, `GIF (.gif)` | نوع خروجی ویدیوی حاصل. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | سطح کیفیت ویدیوی حاصل. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | حالت نوشتن ویدیوی حاصل. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | سطح شتاب اعمال‌شده هنگام تولید ویدیو. |

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "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.ru/v1/run/longcat-video/text-to-video/480p?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"
  }'

# 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/longcat-video/text-to-video/480p?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"
  }),
});
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 = {
    "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/longcat-video/text-to-video/480p", 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": "longcat-video/text-to-video/480p",
      "input": {
        "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": "longcat-video/text-to-video/480p",
  "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": 270,
    "usd": "0.27",
    "charged": 270,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "prompt": "realistic filming style, a person wearing a dark helmet, a deep-colored jacket, blue jeans, and bright yellow shoes rides a skateboard along a winding mountain road. The skateboarder starts in a standing position, then gradually lowers into a crouch, extending one hand to touch the road surface while maintaining a low center of gravity to navigate a sharp curve. After completing the turn, the skateboarder rises back to a standing position and continues gliding forward. The background features lush green hills flanking both sides of the road, with distant snow-capped mountain peaks rising against a clear, bright blue sky. The camera follows closely from behind, smoothly tracking the skateboarder’s movements and capturing the dynamic scenery along the route. The scene is shot in natural daylight, highlighting the vivid outdoor environment and the skateboarder’s fluid actions.",
    "seed": 42,
    "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 |
|---|---|---|
| `prompt` | string | پرامپتی که برای تولید خروجی استفاده شده است. |
| `seed` | integer | مقدار Seed اعمال‌شده هنگام تولید. |
| `video` | object {url, content_type, file_name, file_size} | فایل ویدیویی تولیدشده. |

## Related models

- [LongCat Video · Text to Video · 720p](https://doitong.com/developers/models/longcat-video/text-to-video/720p.md) (`longcat-video/text-to-video/720p`): $0.04 / second of output video
- [LongCat Video · Image to Video · 480p](https://doitong.com/developers/models/longcat-video/image-to-video/480p.md) (`longcat-video/image-to-video/480p`): $0.025 / second of output video
- [LongCat Video · Image to Video · 720p](https://doitong.com/developers/models/longcat-video/image-to-video/720p.md) (`longcat-video/image-to-video/720p`): $0.04 / second of output video
- [FLUX 3 Max Text to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/text-to-video.md) (`blackforestlabs/flux-3-max/text-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Text to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/text-to-video.md) (`xai/grok-imagine-video/v1.5/text-to-video`): from $0.08 / second
- [Kling 3.0 Pro Text to Video](https://doitong.com/developers/models/kling-video/v3/pro/text-to-video.md) (`kling-video/v3/pro/text-to-video`): from $0.112 / second
- [LTX 2.5 Pro Text to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/text-to-video/pro.md) (`lightricks/ltx-2.5/text-to-video/pro`): from $0.12 / second
- [MiniMax H3 Text to Video](https://doitong.com/developers/models/minimax/h3/text-to-video.md) (`minimax/h3/text-to-video`): from $0.05 / second

## Links

- HTML page: https://doitong.com/developers/models/longcat-video/text-to-video/480p
- 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=longcat-video/text-to-video/480p
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/longcat-video/text-to-video/480p