# Wan v2.2 A14B Text-to-Image A14B with LoRAs API

> A14B text-to-image yenye uzito wa LoRA wa kuoanisha mtindo, na matokeo ya PNG au JPEG

Huzalisha picha kutoka kwa `prompt` na kutumia uzani maalum wa LoRA uliopitishwa katika `loras`. `image_size` hutoa mipangilio iliyowekwa ya mraba, wima na mlalo, na `image_format` ni png au jpeg. Pia ina `guidance_scale`, `guidance_scale_2`, `num_inference_steps` hadi 40 na `negative_prompt`.

- Model id: `wan/v2.2-a14b/text-to-image/lora`
- Made by: Alibaba
- Category: Text to Image
- Output: image
- Price: $0.05 / image (cheapest run $0.05 (50 API credits))
- Run: `POST https://api.doitong.ru/v1/run/wan/v2.2-a14b/text-to-image/lora`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-a14b/text-to-image/lora`
- Docs page: https://doitong.com/sw/developers/models/wan/v2.2-a14b/text-to-image/lora

## Pricing

Price: **$0.05 / image**. Billed per generated image.

The full example input below costs $0.05 = 50 API credits (1 image × 50 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-image/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 |  |  | Maelekezo ya maandishi yanayoongoza picha iliyozalishwa. |
| `negative_prompt` |  | string | no | `` |  | Kidokezo hasi kinachotumika wakati wa kutengeneza video. |
| `seed` |  | integer \| null | no |  |  | Seed inayofanya uzalishaji uweze kurudiwa. Kuiweka kuwa None huchagua seed bila mpangilio. |
| `num_inference_steps` |  | integer | no | `27` | 2 – 40 | Idadi ya hatua za sampuli, ambapo muda mrefu wa uchakataji huleta ubora bora kadiri idadi inavyoongezeka. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Ukaguzi wa usalama wa ingizo kabla ya uchakataji, ambao ni akaunti zilizoidhinishwa pekee zinazoweza kuuzima. Maombi yasiyo na idhini hukaguliwa kila mara; vinginevyo, true huwezesha ukaguzi. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Hudhibiti ukaguzi wa usalama wa video iliyozalishwa; kuweka true huwezesha ukaguzi baada ya uzalishaji. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Ruhusu modeli kubwa ya lugha kuimarisha kidokezo kwa maelezo. Kuwasha upanuzi huu hakubadilishi maana ya kidokezo. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Mpangilio wa kuongeza kasi, ambapo 'regular' ndiyo chaguo linalopendekezwa. Kuongeza kasi hupunguza ubora ili kufupisha muda wa uzalishaji. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Nguvu ya mwongozo isiyotegemea kiainishaji, ambapo ongezeko la kipimo hubadilisha uwezekano wa kupoteza ubora kwa ulinganifu wa karibu zaidi na kidokezo. |
| `guidance_scale_2` |  | number | no | `4` | 1 – 10 | Mizani ya mwongozo inayodhibiti jinsi modeli inavyofuata kidokezo katika hatua yake ya pili. |
| `shift` |  | number | no | `2` | 1 – 10 | Mpangilio wa mgeuzo wa picha, wenye masafa yanayoruhusiwa ya 1.0–10.0. |
| `loras` |  | array of object {path, weight_name, scale, transformer} | no | `[]` |  | Uzito wa LoRA unaotumika wakati wa inference. |
| `loras[].path` |  | string | yes |  |  | Mahali pa uzani wa LoRA, palipobainishwa kama URL au njia. |
| `loras[].weight_name` |  | string \| null | no |  |  | Jina la uzito wa LoRA, linalohitajika tu wakati hazina ya Hugging Face ina zaidi ya faili 1 la safetensors. Jina hili hutumika tu wakati `path` inabainisha hazina hiyo. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Kizidishi kinachotumika kwenye uzito wa LoRA kabla ya kuunganishwa na modeli msingi. |
| `loras[].transformer` |  | enum (string) | no | `high` | `high`, `low`, `both` | Lengwa la transformer kwa uzito wa LoRA. Chagua 'high' kwa transformer yenye kelele nyingi, 'low' kwa transformer yenye kelele kidogo, au 'both' kupakia uzito kwenye transformer zote mbili. |
| `reverse_video` |  | boolean | no | `false` |  | Kigeuzi cha kurudisha video nyuma; true hurudisha uchezaji nyuma. |
| `image_size` |  | object {width, height} \| enum (string) | no | `square_hd` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Vipimo vya picha iliyozalishwa. |
| `image_format` |  | enum (string) | no | `jpeg` | `png`, `jpeg` | Muundo wa faili wa picha inayotokana. |

## 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-image/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-image/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-image/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-image/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-image/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": 50,
    "usd": "0.05",
    "charged": 50,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "image": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    },
    "seed": 42
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "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 |
|---|---|---|
| `image` | object {url, content_type, file_name, file_size} | Faili ya picha iliyotengenezwa na uzalishaji. |
| `seed` | integer | Thamani ya seed inayotumika wakati wa uzalishaji. |

## Related models

- [Wan-2.2 Text-to-Video A14B with LoRAs](https://doitong.com/developers/models/wan/v2.2-a14b/text-to-video/lora.md) (`wan/v2.2-a14b/text-to-video/lora`): from $0.507 / run
- [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
- [Qwen Image 3 Text to Image](https://doitong.com/developers/models/alibaba/qwen-image-3/text-to-image.md) (`alibaba/qwen-image-3/text-to-image`): from $0.04 / image
- [FLUX.1 \[dev\]](https://doitong.com/developers/models/flux/dev.md) (`flux/dev`): $0.025 / megapixel
- [FLUX.1 \[schnell\]](https://doitong.com/developers/models/flux/schnell.md) (`flux/schnell`): $0.003 / megapixel
- [FLUX.2 \[dev\]](https://doitong.com/developers/models/flux-2.md) (`flux-2`): $0.012 / megapixel
- [FLUX.2 \[pro\]](https://doitong.com/developers/models/flux-2-pro.md) (`flux-2-pro`): $0.015 / megapixel of output image
- [GPT Image 2.5 Text to Image](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/text-to-image.md) (`openai/gpt-image-2.5/flare/text-to-image`): from $0.008 / image

## Links

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