# Wan-2.2 Text-to-Video A14B API

> A14B text-to-video s izlazom od 480p do 720p, dvije faze usmjeravanja i neobaveznom interpolacijom

Generira video iz tekstualnog `prompt`. `num_frames` je od 17 do 161, `frames_per_second` od 4 do 60, a `resolution` 480p, 580p ili 720p u formatima 16:9, 9:16 ili 1:1. Dostupne su dvije vrijednosti usmjeravanja, postavka `acceleration` te interpolacija film ili rife s jednom interpoliranom sličicom prema zadanim postavkama.

- Model id: `wan/v2.2-a14b/text-to-video`
- Made by: Alibaba
- Category: Text 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.ru/v1/run/wan/v2.2-a14b/text-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-a14b/text-to-video`
- Docs page: https://doitong.com/hr/developers/models/wan/v2.2-a14b/text-to-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
- 580p: $0.06 / second of output video
- 720p: $0.08 / second of output video

The full example input below costs $0.405 = 405 API credits (5.0625 s output video × $0.08 (720p)).

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/wan/v2.2-a14b/text-to-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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | Tekstualne upute koje usmjeravaju generiranje videa. |
| `negative_prompt` |  | string | no | `` |  | Negativni prompt koji se primjenjuje pri generiranju videa. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Broj sličica za generiranje, u uključivom rasponu 17–161. |
| `frames_per_second` |  | integer \| null | no | `16` | 4 – 60 | Brzina izmjene sličica generiranog videa, koja prihvaća vrijednosti od 4 do 60; postavljanje `adjust_fps_for_interpolation` na false zadržava ovu brzinu nepromijenjenom. Kada se upotrebljava interpolacija, a `adjust_fps_for_interpolation` je true (njegova zadana vrijednost), pomnožite ovu brzinu s jedan plus brojem interpoliranih sličica da biste dobili konačni FPS. Na primjer, 16 FPS s 1 interpoliranom sličicom postaje 32 FPS. |
| `seed` |  | integer \| null | no |  |  | Seed koji omogućuje ponovljivo generiranje. Postavljanjem na None seed se odabire nasumično. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | Razlučivost izlaznog videa: 480p, 580p ili 720p. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | Omjer stranica izlaznog videa, 16:9 ili 9:16. |
| `num_inference_steps` |  | integer | no | `27` | 2 – 40 | Broj koraka uzorkovanja, pri čemu veći broj povećava vrijeme obrade i kvalitetu. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Sigurnosna provjera ulaza prije obrade, koju mogu isključiti samo ovlašteni računi. Zahtjevi bez ovlasti uvijek se provjeravaju; u suprotnom true omogućuje provjeru. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Određuje sigurnosnu provjeru generiranog videa; postavka true omogućuje provjeru nakon generiranja. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Omogućite velikom jezičnom modelu obogaćivanje prompta detaljima. Omogućavanje ovog proširenja ne mijenja značenje prompta. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Postavka ubrzanja, pri čemu se preporučuje 'regular'. Veće ubrzanje smanjuje kvalitetu kako bi se skratilo vrijeme generiranja. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Snaga klasifikatorski neovisnog usmjeravanja, pri čemu veća skala može smanjiti kvalitetu u zamjenu za bolje podudaranje s promptom. |
| `guidance_scale_2` |  | number | no | `4` | 1 – 10 | Skala usmjeravanja koja određuje koliko model prati prompt tijekom druge faze. |
| `shift` |  | number | no | `5` | 1 – 10 | Postavka pomaka videa, s dopuštenim rasponom od 1.0 do 10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Postavka interpolacije sličica: odaberite None za preskakanje interpolacije ili navedite model koji će je izvesti. |
| `num_interpolated_frames` |  | integer | no | `1` | 0 – 4 | Umetnite 0–4 interpolirane sličice u svaku prazninu između dviju generiranih sličica. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Prekidač za prilagodbu brzine sličica: false zadržava navedeni FPS, dok ga true skalira s jedan plus brojem interpoliranih sličica. Tako 16 FPS postaje 32 FPS kada se interpolira 1 sličica i prilagodba je omogućena. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Postavka kvalitete izlaznog videa koja s povećanjem vrijednosti mijenja veće datoteke za bolji prikaz. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Način zapisivanja videa, pri čemu balanced nudi kompromis između brzine i kvalitete. Odaberite small za najmanje datoteke i najsporije zapisivanje; brže zapisivanje vraća rezultate ranije, ali stvara veće datoteke. |

## 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/wan/v2.2-a14b/text-to-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"
  }'

# 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/wan/v2.2-a14b/text-to-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"
  }),
});
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/wan/v2.2-a14b/text-to-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.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": "wan/v2.2-a14b/text-to-video",
      "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": "wan/v2.2-a14b/text-to-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": 405,
    "usd": "0.405",
    "charged": 405,
    "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
    },
    "prompt": "A close-up of a young woman smiling gently in the rain, raindrops glistening on her face and eyelashes. The video captures the delicate details of her expression and the water droplets, with soft light reflecting off her skin in the rainy atmosphere.",
    "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.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} | Video datoteka proizvedena generiranjem. |
| `prompt` | string | Tekstualni prompt koji se upotrebljava za generiranje videa. |
| `seed` | integer | Vrijednost seeda primijenjena tijekom generiranja. |

## Related models

- [Wan · v2.2 A14b · Text to Image](https://doitong.com/developers/models/wan/v2.2-a14b/text-to-image.md) (`wan/v2.2-a14b/text-to-image`): $0.025 / image
- [Wan v2.2 A14B](https://doitong.com/developers/models/wan/v2.2-a14b/image-to-video.md) (`wan/v2.2-a14b/image-to-video`): from $0.04 / second of output video
- [Wan · v2.2 A14b · Video to Video](https://doitong.com/developers/models/wan/v2.2-a14b/video-to-video.md) (`wan/v2.2-a14b/video-to-video`): from $0.04 / second of output video
- [Wan-2.2 Speech-to-Video 14B](https://doitong.com/developers/models/wan/v2.2-14b/speech-to-video.md) (`wan/v2.2-14b/speech-to-video`): from $0.10 / second of output video
- [Wan 3.0 Text to Video](https://doitong.com/developers/models/alibaba/wan-3.0/text-to-video.md) (`alibaba/wan-3.0/text-to-video`): from $0.05 / second
- [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

## Links

- HTML page: https://doitong.com/developers/models/wan/v2.2-a14b/text-to-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=wan/v2.2-a14b/text-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/wan/v2.2-a14b/text-to-video