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

> Text-to-video A14B le taic LoRA agus playback air ais roghainneil

Cruthaich bhidio bho `prompt` teacsa agus cuir an sàs cuideaman LoRA air an liostadh ann an `loras`. Bidh `reverse_video` a’ cluich a’ chliop air ais. Tha `num_frames` eadar 17 agus 161, `resolution` 480p, 580p no 720p, agus an co-mheas taobh 16:9, 9:16 no 1:1. Tha eadar-shuidheachadh film no rife agus dà sgèile stiùiridh rim faighinn.

- 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/gd/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 |  |  | Stiùiridhean teacsa a stiùireas gineadh bhidio. |
| `negative_prompt` |  | string | no | `` |  | Prompt àicheil a thèid a chur an sàs nuair a thathar a’ gineadh bhidio. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Àireamh nam frèaman airson gineadh, le raon in-ghabhalach de 17–161. |
| `frames_per_second` |  | integer \| null | no | `16` | 4 – 60 | Ìre frèamaichean a’ bhidio a chaidh a ghineadh, a’ gabhail ri luachan bho 4 gu 60; bidh suidheachadh `adjust_fps_for_interpolation` gu false a’ gleidheadh na h-ìre seo gun atharrachadh. Nuair a thathar a’ cleachdadh eadar-shuidheachaidh agus `adjust_fps_for_interpolation` true (a bhun-roghainn), iomadaich an ìre seo le aon a bharrachd air àireamh nam frèaman eadar-shuidhichte gus an FPS dheireannach fhaighinn. Mar eisimpleir, bidh 16 FPS le 1 fhrèam eadar-shuidhichte na 32 FPS. |
| `seed` |  | integer \| null | no |  |  | Sìol a nì gineadh ath-riochdachail. Le bhith ga shuidheachadh gu None, thèid sìol a thaghadh air thuaiream. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | Dùmhlachd-bhreacaidh a’ bhidio às-chuir: 480p, 580p no 720p. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | Co-mheas-taobhan a’ bhidio às-chuir, an dara cuid 16:9 no 9:16. |
| `num_inference_steps` |  | integer | no | `27` | 2 – 40 | Cunntas cheumannan samplachaidh, ag iomlaid ùine giullachd nas fhaide airson càileachd nas fheàrr mar a bhios an cunntas ag èirigh. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Sgrìonadh sàbhailteachd an in-chuir mus tèid a ghiullachd, nach fhaod ach cunntasan ùghdarraichte a chur dheth. Bidh iarrtasan gun ùghdarras an-còmhnaidh air an sgrìonadh; air neo, bidh true a’ cur an sgrìonaidh an comas. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | A’ cumail smachd air sgrìonadh sàbhailteachd a’ bhidio a chaidh a ghineadh; bidh suidheachadh true a’ cur sgrùdadh an comas às dèidh gineadh. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Leig le modail cànain mòr am prompt a neartachadh le mion-fhiosrachadh. Cha bhith an leudachadh seo ag atharrachadh brìgh a’ phrompt. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Suidheachadh luathachaidh, le 'regular' mar an roghainn a thathar a’ moladh. Bidh àrdachadh luathachaidh ag ìobairt càileachd gus ùine gineadh a ghiorrachadh. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Neart stiùiridh gun chlasadair, ag iomlaid call càileachd a dh’fhaodadh tachairt airson maidseadh nas dlùithe ris a’ phrompt mar a bhios an sgèile ag èirigh. |
| `guidance_scale_2` |  | number | no | `4` | 1 – 10 | Sgèile stiùiridh a bhios a’ cumail smachd air cho dlùth ’s a leanas am modail am prompt rè an dàrna ìre aige. |
| `shift` |  | number | no | `5` | 1 – 10 | Suidheachadh gluasad bhidio, le raon ceadaichte de 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Suidheachadh eadar-shuidheachaidh fhrèamaichean: tagh None gus eadar-shuidheachadh a sheachnadh, no sònraich am modail a nì e. |
| `num_interpolated_frames` |  | integer | no | `1` | 0 – 4 | Cuir 0–4 frèamaichean eadar-shuidhichte a-steach do gach beàrn eadar dà fhrèam a chaidh a ghineadh. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Toglaich atharrachaidh ìre frèamaichean: bidh false a’ gleidheadh an FPS a chaidh a thoirt seachad, agus bidh true ga sgèileadh le aon a bharrachd air àireamh nam frèaman eadar-shuidhichte. Mar sin, bidh 16 FPS na 32 FPS nuair a thèid 1 fhrèam eadar-shuidheachadh agus an t-atharrachadh an comas. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Suidheachadh càileachd bhidio às-chuir a nì malairt eadar faidhlichean nas motha agus lèirsinnean nas fheàrr mar a thèid an suidheachadh am meud. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Modh sgrìobhaidh bhidio, le balanced a’ tabhann co-rèiteachadh eadar astar agus càileachd. Tagh small airson na faidhlichean as lugha agus an sgrìobhadh as slaodaiche; bidh sgrìobhadh nas luaithe a’ tilleadh thoraidhean nas luaithe ach a’ cruthachadh faidhlichean nas motha. |
| `loras` |  | array of object {path, weight_name, scale, transformer} | no | `[]` |  | Cuideaman LoRA a chuirear an sàs rè co-dhùnaidh. |
| `loras[].path` |  | string | yes |  |  | Àite cuideaman an LoRA, air a shònrachadh mar URL no slighe. |
| `loras[].weight_name` |  | string \| null | no |  |  | Ainm cuideim LoRA, riatanach dìreach nuair a tha barrachd air 1 fhaidhle safetensors ann an stòras Hugging Face. Cha chleachdar an t-ainm seo ach nuair a chomharraicheas `path` stòras mar sin. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Iomadadair a thèid a chur air cuideam an LoRA mus tèid a cho-aonadh ris a’ mhodail bhunaiteach. |
| `loras[].transformer` |  | enum (string) | no | `high` | `high`, `low`, `both` | Ceann-uidhe cruth-atharrachaidh airson cuideam LoRA. Tagh 'high' airson a’ chruth-atharrachaidh le fuaim àrd, 'low' airson an fhear le fuaim ìosal, no 'both' gus an cuideam a luchdadh dhan dà chruth-atharrachaiche. |
| `reverse_video` |  | boolean | no | `false` |  | Toglaich tionndadh a’ bhidio; bidh true a’ tionndadh na cluichidh. |

## 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} | Faidhle bhidio a chaidh a chruthachadh le gineadh. |
| `prompt` | string | Prompt teacsa a chaidh a chleachdadh gus a’ bhidio a ghineadh. |
| `seed` | integer | Luach sìl a chaidh a chur an sàs rè gineadh. |

## 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