# Wan 2.5 Text to Image API

> Wan 2.5 mō te kuputuhi-ki-atahanga me ngā tohutohu Hainamana me te Pākehā, tae atu ki te whā atahanga mō ia karanga

Ka whakaputa atahanga mai i tētahi `prompt` kuputuhi tae atu ki te 2000 pūāhua i te Hainamana, i te Pākehā rānei. Ko `num_images` mai i te 1 ki te 4, ā, ka whakaaetia e `image_size` ngā tatūkē, ngā rahinga motuhake rānei, me te tapeke pika i waenga i 768x768 me 1440x1440. Kei te whakakā taunoa te whakawhānui tohutohu, e tuhi anō ana i te tohutohu mā tētahi LLM. E wātea ana hoki he `negative_prompt` me te `seed`.

- Model id: `wan-25-preview/text-to-image`
- 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.com/v1/run/wan-25-preview/text-to-image`
- Quote: `POST https://api.doitong.com/v1/quote/wan-25-preview/text-to-image`
- Docs page: https://doitong.com/mi/developers/models/wan-25-preview/text-to-image

## Pricing

Price: **$0.05 / image**. Billed per generated image (`num_images`, default 1).

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.com/v1/quote/wan-25-preview/text-to-image` 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

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  | ≥ 1 characters | Ngā tohutohu whakaputa atahanga, he 2000 pūāhua te mōrahi, ā, me tuhi ki te reo Hainamana, ki te reo Pākehā rānei. |
| `negative_prompt` |  | string \| null | no |  |  | He tohutohu kino e tohu ana i ngā ihirangi kāore e hiahiatia, he 500 pūāhua te mōrahi. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Te maha o ngā atahanga ka whakaputaina, mai i te 1 ki te 4. |
| `image_size` |  | object {width, height} \| enum (string) | no | `square` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Ngā rahinga o te atahanga kua whakaputaina, me noho te tapeke pika i waenga i te 768×768 me te 1440×1440, ā, me noho te ōwehenga āhuatanga i waenga i te 1:4 me te 4:1. Tautuhia ngā rahinga, tīpakohia rānei he tatūkē kua whakaingoatia, pērā i te 'square' me te 'landscape_16_9'. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Te tuhi anō tohutohu e hāngai ana ki te LLM, e whakawhiti ana i te wā tukatuka tāpiri mō ngā hua pai ake ki ngā tohutohu poto. |
| `seed` |  | integer \| null | no |  |  | Te kākano e taea ai te tārua o te whakaputanga. Mā te tautuhi ki None e kōwhiri matapōkeretia ai he kākano. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Whakakā/whakaweto tirotiro haumaru, me whakamana pūkete te tautuhinga whakaweto. Ki te kore taua whakamana, ka tirohia ia tono ahakoa te tautuhinga; mā true e whakakā te kaitirotiro. |

## 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.com/v1/run/wan-25-preview/text-to-image?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.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/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-25-preview/text-to-image?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.com/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-25-preview/text-to-image", 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.com/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-25-preview/text-to-image",
      "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-25-preview/text-to-image",
  "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": {
    "images": [
      {
        "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,
        "width": 1024,
        "height": 768
      }
    ],
    "seeds": [
      42
    ],
    "actual_prompt": "A lone samurai standing on the edge of a cliff at twilight, overlooking a vast valley shrouded in mist. The sky burns with deep orange and purple hues from the setting sun, casting long, dramatic shadows. The samurai’s silhouette glows against the horizon, with their sword reflecting a glint of fading light. The overall style is hyper-realistic, cinematic, and moody, with dramatic contrast and atmospheric depth."
  },
  "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | Ngā atahanga i whakaputaina e te tauira. |
| `seeds` | array of integer | Ngā uara kākano hei whakaputa i ngā atahanga takitahi. |
| `actual_prompt` | string \| null | Te tohutohu i whakamahia tonutia i te wā e whakahohea ana te tuhi anō. |

## Related models

- [Wan 2.5 Image to Image](https://doitong.com/developers/models/wan-25-preview/image-to-image.md) (`wan-25-preview/image-to-image`): $0.05 / image
- [Wan 2.5 Text to Video](https://doitong.com/developers/models/wan-25-preview/text-to-video.md) (`wan-25-preview/text-to-video`): from $0.05 / second
- [Wan 2.5 Image to Video](https://doitong.com/developers/models/wan-25-preview/image-to-video.md) (`wan-25-preview/image-to-video`): from $0.05 / second
- [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

## Links

- HTML page: https://doitong.com/developers/models/wan-25-preview/text-to-image
- 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-25-preview/text-to-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/wan-25-preview/text-to-image