# Wan-2.2 Text-to-Video A14B with LoRAs API

> A14B text-to-video le tacaíocht LoRA agus seinm droim ar ais roghnach

Cruthaíonn sé físeán ó `prompt` téacs agus cuireann sé na meáchain LoRA atá liostaithe in `loras` i bhfeidhm. Seinmíonn `reverse_video` an gearrthóg ar gcúl. Téann `num_frames` ó 17 go 161, is é 480p, 580p nó 720p `resolution`, agus is é 16:9, 9:16 nó 1:1 an cóimheas gnéithe. Tá idirshampláil film nó rife agus dhá scála treorach ar fáil.

- Model id: `wan/v2.2-a14b/text-to-video/lora`
- Made by: Alibaba
- Category: Text to Video
- Output: video
- Estimated price per run: from $0.507 / run (cheapest run $0.507 (507 API credits))
- Run: `POST https://api.doitong.ru/v1/run/wan/v2.2-a14b/text-to-video/lora`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-a14b/text-to-video/lora`
- Docs page: https://doitong.com/ga/developers/models/wan/v2.2-a14b/text-to-video/lora

## Pricing

Price: **from $0.507 / run** (the lowest tier; the quote prices your exact input). Estimated from the typical cost of one run. The quote is exactly what the run charges.

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `num_frames` > 81 and `resolution` = 480p: base price × 2
- When `num_frames` > 81 and `resolution` = 580p: base price × 2
- When `num_frames` > 81 and `resolution` = 720p: base price × 2

The full example input below costs $0.507 = 507 API credits (1 request × 507 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/wan/v2.2-a14b/text-to-video/lora` 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 |  |  | Treoracha téacs a threoraíonn giniúint físeáin. |
| `negative_prompt` |  | string | no | `` |  | Leid dhiúltach a chuirtear i bhfeidhm agus físeán á ghiniúint. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Líon frámaí don ghiniúint, le raon cuimsitheach 17–161. |
| `frames_per_second` |  | integer \| null | no | `16` | 4 – 60 | Ráta frámaí an fhíseáin ghinte, ag glacadh le luachanna ó 4 go 60; má shocraítear `adjust_fps_for_interpolation` go false, coimeádtar an ráta seo gan athrú. Agus idirshuíomh in úsáid agus `adjust_fps_for_interpolation` true (a réamhshocrú), iolraigh an ráta seo faoi a haon móide líon na bhfrámaí idirshuite chun an FPS deiridh a fháil. Mar shampla, éiríonn 16 FPS le 1 fhráma idirshuite ina 32 FPS. |
| `seed` |  | integer \| null | no |  |  | Síol a fhágann giniúint in-atáirgthe. Má shocraítear é go None, roghnaítear síol go randamach. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | Taifeach aschuir an fhíseáin: 480p, 580p nó 720p. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | Cóimheas gnéithe an fhíseáin aschuir, 16:9 nó 9:16. |
| `num_inference_steps` |  | integer | no | `27` | 2 – 40 | Líon na gcéimeanna samplála, áit a mhalartaítear am próiseála níos faide ar cháilíocht níos fearr de réir mar a mhéadaíonn an líon. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Scagadh sábháilteachta an ionchuir roimh phróiseáil, nach féidir ach le cuntais údaraithe é a mhúchadh. Déantar scagadh i gcónaí ar iarratais gan údarú; ar shlí eile, cumasaíonn true an scagadh. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Rialaíonn sé scagadh sábháilteachta an fhíseáin ghinte; cumasaíonn true seiceáil i ndiaidh na giniúna. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Lig do mhúnla mór teanga an leid a shaibhriú le sonraí. Ní athraíonn cumasú an leathnaithe brí na leide. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Socrú luasghéaraithe, agus 'regular' molta. Íslíonn luasghéarú níos mó an cháilíocht chun am giniúna a ghiorrú. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Neart treorach saor ó aicmitheoir, áit a mhalartaítear caillteanas cáilíochta féideartha ar mheaitseáil níos dlúithe leis an leid de réir mar a mhéadaíonn an scála. |
| `guidance_scale_2` |  | number | no | `4` | 1 – 10 | Scála treorach a rialaíonn cé chomh dlúth agus a leanann an tsamhail an leid le linn a dara céime. |
| `shift` |  | number | no | `5` | 1 – 10 | Socrú aistrithe físeáin, le raon ceadaithe 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Socrú idirshuite frámaí: roghnaigh None chun idirshuíomh a scipeáil, nó sonraigh an tsamhail chun é a dhéanamh. |
| `num_interpolated_frames` |  | integer | no | `1` | 0 – 4 | Cuir 0–4 fráma idirshuite isteach i ngach bearna idir dhá fhráma ghinte. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Scorán coigeartaithe an ráta frámaí: coimeádann false an FPS soláthraithe, agus scálaíonn true é faoi a haon móide líon na bhfrámaí idirshuite. Mar sin, éiríonn 16 FPS ina 32 FPS nuair a bhíonn 1 fhráma idirshuite agus an coigeartú cumasaithe. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Socrú cáilíochta aschuir físeáin a mhalartaíonn comhaid níos mó ar amhairc fheabhsaithe de réir mar a mhéadaítear an socrú. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Mód scríofa físeáin, agus balanced ina chomhréiteach idir luas agus cáilíocht. Roghnaigh small do na comhaid is lú agus an scríobh is moille; tugann scríobh níos tapúla torthaí níos luaithe ach cruthaíonn sé comhaid níos mó. |
| `loras` |  | array of object {path, weight_name, scale, transformer} | no | `[]` |  | Meáchain LoRA a chuirtear i bhfeidhm le linn tátail. |
| `loras[].path` |  | string | yes |  |  | Suíomh na meáchain LoRA, sonraithe mar URL nó cosán. |
| `loras[].weight_name` |  | string \| null | no |  |  | Ainm meáchain LoRA, riachtanach amháin nuair atá níos mó ná comhad safetensors amháin i stór Hugging Face. Ní úsáidtear an t-ainm seo ach nuair a shainaithníonn `path` stór den sórt sin. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Iolraitheoir a chuirtear i bhfeidhm ar mheáchan an LoRA sula gcumasaítear é sa tsamhail bhunúsach. |
| `loras[].transformer` |  | enum (string) | no | `high` | `high`, `low`, `both` | Ceann scríbe claochladáin do mheáchan LoRA. Roghnaigh 'high' don chlaochladán ardtorainn, 'low' don chlaochladán íseal-torainn, nó 'both' chun an meáchan a luchtú sa dá chlaochladán. |
| `reverse_video` |  | boolean | no | `false` |  | Scorán aisiompaithe físeáin; aisiompaíonn true an athsheinm. |

## 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/lora?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/lora?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/lora", 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/lora",
      "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/lora",
  "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": 507,
    "usd": "0.507",
    "charged": 507,
    "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} | Comhad físeáin a tháirgtear leis an nginiúint. |
| `prompt` | string | Leid téacs a úsáidtear chun an físeán a ghiniúint. |
| `seed` | integer | Luach síl a chuirtear i bhfeidhm le linn giniúna. |

## Related models

- [Wan v2.2 A14B Text-to-Image A14B with LoRAs](https://doitong.com/developers/models/wan/v2.2-a14b/text-to-image/lora.md) (`wan/v2.2-a14b/text-to-image/lora`): $0.05 / image
- [Wan v2.2 A14B Image-to-Video A14B with LoRAs](https://doitong.com/developers/models/wan/v2.2-a14b/image-to-video/lora.md) (`wan/v2.2-a14b/image-to-video/lora`): from $1.006 / run
- [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
- [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/wan/v2.2-a14b/text-to-video/lora
- 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/lora
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/wan/v2.2-a14b/text-to-video/lora