# Wan-2.2 Text-to-Video A14B API

> A14B teksta pārvēršana video ar 480p līdz 720p izvadi, diviem vadības posmiem un neobligātu interpolāciju

Ģenerē video no teksta `prompt`. `num_frames` ir no 17 līdz 161, `frames_per_second` — no 4 līdz 60, bet `resolution` ir 480p, 580p vai 720p ar 16:9, 9:16 vai 1:1 malu attiecību. Pieejamas divas vadības vērtības, `acceleration` iestatījums un film vai rife interpolācija (pēc noklusējuma viens interpolēts kadrs).

- 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/lv/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 |  |  | Teksta norādes video ģenerēšanai. |
| `negative_prompt` |  | string | no | `` |  | Negatīvā uzvedne, kas tiek lietota video ģenerēšanas laikā. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Kadru skaits ģenerēšanai ar diapazonu 17–161 ieskaitot. |
| `frames_per_second` |  | integer \| null | no | `16` | 4 – 60 | Ģenerētā video kadru nomaiņas ātrums, pieņemot vērtības no 4 līdz 60; iestatot `adjust_fps_for_interpolation` uz false, šis ātrums tiek saglabāts nemainīgs. Izmantojot interpolāciju un iestatot `adjust_fps_for_interpolation` uz true (noklusējums), reiziniet šo ātrumu ar viens plus interpolēto kadru skaits, lai iegūtu galīgo FPS. Piemēram, 16 FPS ar 1 interpolētu kadru kļūst par 32 FPS. |
| `seed` |  | integer \| null | no |  |  | Sēkla, kas padara ģenerēšanu atkārtojamu. Iestatot None, sēkla tiek izvēlēta nejauši. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | Izvades video izšķirtspēja: 480p, 580p vai 720p. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | Izvades video malu attiecība: 16:9 vai 9:16. |
| `num_inference_steps` |  | integer | no | `27` | 2 – 40 | Semplešanas soļu skaits; lielāks skaits nodrošina labāku kvalitāti, bet paildzina apstrādi. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Ievades drošības pārbaude pirms apstrādes, ko drīkst atspējot tikai autorizēti konti. Pieprasījumi bez autorizācijas vienmēr tiek pārbaudīti; pretējā gadījumā true iespējo pārbaudi. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Nosaka ģenerētā video drošības pārbaudi; true iespējo pārbaudi pēc ģenerēšanas. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Ļauj lielajam valodas modelim papildināt uzvedni ar detalizētu informāciju. Šī paplašināšana nemaina uzvednes nozīmi. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Paātrinājuma iestatījums; ieteicamā izvēle ir 'regular'. Lielāks paātrinājums samazina kvalitāti, lai saīsinātu ģenerēšanas laiku. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Klasifikatora brīvās vadības stiprums; palielinoties mērogam, iespējams kvalitātes zudums tiek mainīts pret precīzāku atbilstību uzvednei. |
| `guidance_scale_2` |  | number | no | `4` | 1 – 10 | Vadības mērogs, kas nosaka, cik cieši modelis savā otrajā posmā seko uzvednei. |
| `shift` |  | number | no | `5` | 1 – 10 | Video nobīdes iestatījums ar pieļaujamo diapazonu 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Kadru interpolācijas iestatījums: izvēlieties None, lai izlaistu interpolāciju, vai norādiet modeli tās veikšanai. |
| `num_interpolated_frames` |  | integer | no | `1` | 0 – 4 | Ievietojiet 0–4 interpolētus kadrus katrā spraugā starp diviem ģenerētiem kadriem. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Kadru nomaiņas ātruma pielāgošanas slēdzis: false saglabā norādīto FPS, bet true to reizina ar viens plus interpolēto kadru skaitu. Tādējādi 16 FPS kļūst par 32 FPS, ja tiek interpolēts 1 kadrs un pielāgošana ir iespējota. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Izvades video kvalitātes iestatījums, kas, palielinoties vērtībai, maina lielākus failus pret labāku attēlu. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Video rakstīšanas režīms; balanced nodrošina kompromisu starp ātrumu un kvalitāti. Izvēlieties small mazākajiem failiem un lēnākajai rakstīšanai; ātrāka rakstīšana rezultātus atgriež ātrāk, bet izveido lielākus failus. |

## 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} | Ģenerēšanas rezultātā iegūtais video fails. |
| `prompt` | string | Teksta uzvedne, kas izmantota video ģenerēšanai. |
| `seed` | integer | Ģenerēšanas laikā lietotā sēklas vērtība. |

## 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