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

> Text-to-video A14B gyda chefnogaeth LoRA a chwarae am yn ôl dewisol

Creu fideo o `prompt` testun wrth gymhwyso pwysau LoRA a restrir yn `loras`. Mae `reverse_video` yn chwarae'r clip am yn ôl. Mae `num_frames` rhwng 17 a 161, `resolution` yn 480p, 580p neu 720p, a'r gymhareb agwedd yn 16:9, 9:16 neu 1:1. Mae rhyngosod film neu rife a dwy raddfa arweiniad ar gael.

- 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/cy/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 |  |  | Cyfarwyddiadau testun sy'n arwain cynhyrchu fideo. |
| `negative_prompt` |  | string | no | `` |  | Anogiad negyddol a gymhwysir wrth gynhyrchu fideo. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Cyfrif fframiau ar gyfer cynhyrchu, gydag ystod gynhwysol o 17–161. |
| `frames_per_second` |  | integer \| null | no | `16` | 4 – 60 | Cyfradd ffrâm y fideo a gynhyrchir, gan dderbyn gwerthoedd o 4 i 60; mae gosod `adjust_fps_for_interpolation` i false yn cadw'r gyfradd hon yn ddigyfnewid. Pan ddefnyddir rhyngosod a bod `adjust_fps_for_interpolation` yn true (ei ragosodiad), lluoswch y gyfradd hon ag un plws cyfrif y fframiau rhyngosodedig i gael yr FPS terfynol. Er enghraifft, mae 16 FPS gydag 1 ffrâm ryngosodedig yn dod yn 32 FPS. |
| `seed` |  | integer \| null | no |  |  | Hadau sy'n gwneud cynhyrchu'n atgynhyrchadwy. Mae ei osod i None yn dewis hedyn ar hap. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | Cydraniad fideo allbwn: 480p, 580p neu 720p. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | Cymhareb agwedd y fideo allbwn, naill ai 16:9 neu 9:16. |
| `num_inference_steps` |  | integer | no | `27` | 2 – 40 | Cyfrif camau samplu, sy'n cyfnewid amser prosesu hirach am ansawdd gwell wrth i'r cyfrif gynyddu. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Sgrinio diogelwch mewnbwn cyn prosesu, y gall cyfrifon awdurdodedig yn unig ei ddiffodd. Caiff ceisiadau heb awdurdodiad eu sgrinio bob amser; fel arall, mae true yn galluogi sgrinio. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Yn rheoli sgrinio diogelwch y fideo a gynhyrchir; mae gosod true yn galluogi gwiriad ar ôl cynhyrchu. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Caniatáu i fodel iaith mawr gyfoethogi'r anogiad â manylion. Nid yw galluogi'r ehangiad hwn yn newid ystyr yr anogiad. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Gosodiad cyflymu, gyda 'regular' fel y dewis a argymhellir. Mae cynyddu'r cyflymiad yn aberthu ansawdd er mwyn byrhau'r amser cynhyrchu. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Cryfder arweiniad di-ddosbarthwr, sy'n cyfnewid colled ansawdd bosibl am gydweddiad agosach â'r anogiad wrth i'r raddfa gynyddu. |
| `guidance_scale_2` |  | number | no | `4` | 1 – 10 | Graddfa arweiniad sy'n rheoli pa mor agos y mae'r model yn dilyn yr anogiad yn ystod ei ail gam. |
| `shift` |  | number | no | `5` | 1 – 10 | Gosodiad symud fideo, gydag ystod a ganiateir o 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Gosodiad rhyngosod fframiau: dewiswch None i hepgor rhyngosod, neu nodwch y model i'w gyflawni. |
| `num_interpolated_frames` |  | integer | no | `1` | 0 – 4 | Mewnosodwch 0–4 ffrâm ryngosodedig ym mhob bwlch rhwng dwy ffrâm a gynhyrchir. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Toglo addasu cyfradd ffrâm: mae false yn cadw'r FPS a gyflenwir, tra bod true yn ei raddio ag un plws cyfrif y fframiau rhyngosodedig. Felly, mae 16 FPS yn dod yn 32 FPS pan ryngosodir 1 ffrâm a bod addasu wedi'i alluogi. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Gosodiad ansawdd fideo allbwn sy'n cyfnewid ffeiliau mwy am ddelweddau gwell wrth i'r gosodiad gynyddu. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Modd ysgrifennu fideo, gyda balanced yn cynnig cyfaddawd rhwng cyflymder ac ansawdd. Dewiswch small ar gyfer y ffeiliau lleiaf a'r ysgrifennu arafaf; mae ysgrifennu cyflymach yn dychwelyd canlyniadau'n gynt ond yn creu ffeiliau mwy. |
| `loras` |  | array of object {path, weight_name, scale, transformer} | no | `[]` |  | Pwysau LoRA a gymhwysir yn ystod casgliad. |
| `loras[].path` |  | string | yes |  |  | Lleoliad pwysau'r LoRA, wedi'i nodi fel URL neu lwybr. |
| `loras[].weight_name` |  | string \| null | no |  |  | Enw pwysau LoRA, sy'n ofynnol dim ond pan fo ystorfa Hugging Face yn cynnwys mwy nag 1 ffeil safetensors. Dim ond pan fo `path` yn dynodi ystorfa o'r fath y defnyddir yr enw hwn. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Lluosydd a gymhwysir i bwysau'r LoRA cyn ei uno â'r model sylfaenol. |
| `loras[].transformer` |  | enum (string) | no | `high` | `high`, `low`, `both` | Cyrchfan trawsnewidydd ar gyfer pwysau LoRA. Dewiswch 'high' ar gyfer y trawsnewidydd sŵn uchel, 'low' ar gyfer y trawsnewidydd sŵn isel, neu 'both' i lwytho'r pwysau i'r ddau drawsnewidydd. |
| `reverse_video` |  | boolean | no | `false` |  | Toglo gwrthdroi fideo; mae true yn gwrthdroi'r chwarae. |

## 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} | Ffeil fideo a gynhyrchir. |
| `prompt` | string | Anogiad testun a ddefnyddiwyd i gynhyrchu'r fideo. |
| `seed` | integer | Gwerth hedyn a gymhwysir wrth gynhyrchu. |

## 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