# CogVideoX-5B API

> CogVideoX-5B کے ساتھ ٹیکسٹ ٹو ویڈیو جنریشن، LoRA سپورٹ اور قابلِ ترتیب فریم ریٹ کے ساتھ

متنی `prompt` سے مختصر ویڈیو بناتا ہے۔ مربع_hd یا landscape_16_9 جیسا پری سیٹ `video_size` منتخب کریں، `num_inference_steps` (1 تا 50) اور `guidance_scale` (0 تا 20) مقرر کریں، اور `negative_prompt` شامل کریں۔ `export_fps` 4 تا 32 ہے، RIFE انٹرپولیشن ڈیفالٹ طور پر فعال ہے، اور ایک LoRA لگائی جا سکتی ہے۔

- Model id: `cogvideox-5b`
- Made by: Zhipu AI
- Category: Text to Video
- Output: video
- Price: $0.20 / video (cheapest run $0.20 (200 API credits))
- Run: `POST https://api.doitong.ru/v1/run/cogvideox-5b`
- Quote: `POST https://api.doitong.ru/v1/quote/cogvideox-5b`
- Docs page: https://doitong.com/ur/developers/models/cogvideox-5b

## Pricing

Price: **$0.20 / video**. Billed once per generated video.

The full example input below costs $0.20 = 200 API credits (1 video × 200 API credits).

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/cogvideox-5b` 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 |  |  | ویڈیو تخلیق کی بنیاد کے طور پر استعمال ہونے والا پرامپٹ۔ |
| `video_size` |  | object {width, height} \| enum (string) | no | `{"height":480,"width":720}` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | تخلیق شدہ ویڈیو کے ابعاد۔ |
| `negative_prompt` |  | string | no | `` |  | ویڈیو تخلیق کے لیے منفی پرامپٹ۔ |
| `loras` |  | array of object {path, scale} | no | `[]` |  | تصویر کی تخلیق کے لیے ایک LoRA دیں؛ فی الحال متعدد LoRAs معاونت یافتہ نہیں ہیں۔ |
| `loras[].path` |  | string | yes |  |  | LoRA weights کا مقام، URL یا path کے طور پر۔ |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | بنیادی ماڈل میں ضم کرنے سے پہلے LoRA weight پر لاگو ہونے والا multiplier۔ |
| `num_inference_steps` |  | integer | no | `50` | 1 – 50 | چلائے جانے والے inference steps کی تعداد۔ |
| `seed` |  | integer \| null | no |  |  | قابلِ تکرار ویڈیو تخلیق کے لیے seed۔ ہر بار عین تکرار کے لیے ماڈل ورژن، پرامپٹ اور seed تبدیل نہ کریں۔ |
| `guidance_scale` |  | number | no | `7` | 0 – 20 | متعلقہ ویڈیو دکھاتے وقت ماڈل کی پرامپٹ سے وابستگی، CFG scale (Classifier Free Guidance) کے ذریعے ظاہر ہوتی ہے۔ |
| `use_rife` |  | boolean | no | `true` |  | RIFE کے ساتھ ویڈیو interpolation فعال کرتا ہے۔ |
| `export_fps` |  | integer | no | `16` | 4 – 32 | ویڈیو کے لیے مطلوبہ فریم ریٹ، FPS میں۔ |
| `enable_safety_checker` |  | boolean | no | `true` |  | false سیٹ کر کے اسکریننگ نرم کی جا سکتی ہے، بشرطیکہ کال کرنے والا مجاز ہو۔ |

## 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/cogvideox-5b?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/cogvideox-5b?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/cogvideox-5b", 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": "cogvideox-5b",
      "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": "cogvideox-5b",
  "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": 200,
    "usd": "0.20",
    "charged": 200,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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
    },
    "timings": {},
    "seed": 42,
    "prompt": "string"
  },
  "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} | تخلیق شدہ ویڈیو کی طرف اشارہ کرنے والا URL۔ |
| `timings` | object |  |
| `seed` | integer | ویڈیو تخلیق میں استعمال ہونے والا اصل seed، جس میں ان پٹ میں seed نہ دینے پر بے ترتیب منتخب قدر بھی شامل ہے۔ بصورتِ دیگر یہ ان پٹ seed سے مطابقت رکھتا ہے۔ |
| `prompt` | string | ویڈیو بنانے کے لیے استعمال ہونے والا پرامپٹ۔ |

## Related models

- [CogVideoX-5B · Image to Video](https://doitong.com/developers/models/cogvideox-5b/image-to-video.md) (`cogvideox-5b/image-to-video`): $0.20 / video
- [CogVideoX-5B · Video to Video](https://doitong.com/developers/models/cogvideox-5b/video-to-video.md) (`cogvideox-5b/video-to-video`): $0.20 / 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
- [Seedance 2.0 Fast Text to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/fast/text-to-video.md) (`bytedance/seedance-2.0/fast/text-to-video`): from $0.113 / second

## Links

- HTML page: https://doitong.com/developers/models/cogvideox-5b
- 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=cogvideox-5b
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/cogvideox-5b