# Wan 2.5 Text to Image API

> Wan 2.5 ᡳ ᠮᠠᠨᠵᡠ ᠠᡳ ᡝᠩᡤᡳᠯᡝ ᡥᡡᠯᠠᠨ ᡩᡝ ᠵᡠᠯᡝᠮᡝ ᡤᠠᠳᠠᠨ ᠪᡝ ᠪᡠᠶᡝᠮᡝ᠂ ᡝᠮᡠ ᡤᡝᠪᡠᠩ ᡩᡝ 4 ᡤᠠᠳᠠᠨ ᡩᡝ ᠵᡠᠯᡝ

ᠨᡳᡴᠠᠨ ᡝᡳᡨᡝ ᡳᠩᡤᡳᡵᡳ ᡤᡳᠰᡠᠨ ᡳ 2000 ᡥᡝᡵᡤᡝᠨ ᡳ ᡩᠣᠯᠣ ᠪᡳᠰᡳᡵᡝ ᠪᡳᡨᡥᡝ ᡳ `prompt` ᡩᡝᡵᡳ ᡤᠠᠳᠠᠨ ᠪᡝ ᠪᠠᠨᠵᡳᠪᡠᠮᠪᡳ᠉ `num_images` ᡳ ᡨᠣᠨ 1 ᡩᡝᡵᡳ 4 ᡩᡝ ᡳᠰᡳᡨᠠᠯᠠ᠂ `image_size` ᡩᡝ ᠵᡠᠯᡝ ᡨᠣᡴᡨᠣᠪᡠᡥᠠ ᡝᡳᡨᡝ ᡨᡝᠨ ᡩᡠᠰᡳᠨ ᠪᡝ ᠪᠠᡥᠠᠪᡠᠮᠪᡳ᠂ ᡠᠪᡝ ᡩᡠᠰᡳᠨ 768x768 ᡩᡝᡵᡳ 1440x1440 ᡳ ᠰᡳᡩᠠᠨ ᡩᡝ ᠪᡳ᠉ LLM ᠪᡝ ᠪᠠᡳᡨᠠᠯᠠᠮᡝ ᡥᡡᠯᠠᠨ ᠪᡝ ᡩᠠᠰᠠᠮᡝ ᠠᡵᠠᡵᡝ ᡥᡡᠯᠠᠨ ᡴᡝᡴᡩᡝᡵᡝ ᠪᠠᡳᡨᠠ ᠵᡠᠯᡝ ᡩᡝᡵᡳ ᠨᡝᡳᡥᡝᠪᡳ᠉ ᡤᡝᠯᡝ `negative_prompt` ᠪᠠ `seed` ᠪᡝ ᠪᠠᡳᡨᠠᠯᠠᠴᡳ ᠣᠮᠪᡳ᠉

- 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/mnc/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 | ᠤᠯᡥᡳᠨ ᡳ ᠪᡠᠶᡝᠮᡝ ᡳ ᡥᡡᠯᠠᠨ, ᠵᡠᠯᡝ 2000 ᡤᡳᠰᡠᠨ, ᠵᡠᠯᡝ ᠵᡝᠮᡝ ᠵᡝᠮᡝ ᡳᠯᡝᠮᡝ ᠵᡝᠮᡝ ᠰᡳᠨᡳ ᠵᡝᠮᡝ ᠪᡳᠮᠪᡳ. |
| `negative_prompt` |  | string \| null | no |  |  | ᠵᡝᠮᡝ ᠪᡳᠮᠪᡳ ᠠᠴᠠᠨ ᠠᠰᡥᠠᠮᡝ ᠪᡝ ᠪᡠᠮᡝ, ᠵᡠᠯᡝ 500 ᡤᡳᠰᡠᠨ. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | ᠤᠯᡥᡳᠨ ᡳ ᠪᡠᠶᡝᠮᡝ ᡳ ᠵᡠᠯᡤᠠᠨ, 1 ᠵᡝᠪᡝ 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` | ᠪᡠᠶᡝᠮᡝ ᡤᠠᠳᠠᠨ ᡳ ᠵᠠᠯᠠᠨ᠂ 768×768 ᡩᡝᠴᡳ 1440×1440 ᡩᡝ ᠪᠠᠶᠠᠨ ᡳ ᡶᡠᠯᡳᠨ ᠨᡠᠮᡝᡵᡠᠨ ᠪᠠ 1:4 ᡩᡝᠴᡳ 4:1 ᡳ ᡤᠠᡵᡤᠠᠨ ᠪᠠᡳᠴᡳᠨᠠᠮᠪᡳ᠉ ᠵᠠᠯᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠮᡠᡩᠠᠨ ᠵᠠᠰᡳᠮᡝ ᠪᡝ ᠵᡝᠮᡠ ᡩᡝ ᠵᡝᠨᡠ ᠵᠠᠭᠠᠨ ᠵᠠᡴᡠᠨ ᠠᡴᡳ ᠵᠠᠰᡳᠮᡝ᠂ ᠮᡳᠨᡳ 'square' ᠠᡴᡳ 'landscape_16_9' ᡴᡝᠮᡠᠨᡳ ᠰᡝᠯᡤᡳᠶᡝᠨ ᠵᡠᠯᡝ ᠵᠠᡴᡠᠨ ᠪᡝ ᠰᠣᠩᡤᠣᠮᠪᡳ᠉ |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | LLM ᡳ ᡥᡡᠯᠠᠨ ᠵᠠᠰᡳᠮᡝ᠂ ᠵᡝᠯᡤᡳ ᡤᡝᠪᡠᠨ ᡩᡝ ᠵᠠᡴᡠᠨ ᠵᡠᠯᡝᠮᡝ ᠪᠠᡳᠴᡳᠨᠠᠮᠪᡳ᠉ |
| `seed` |  | integer \| null | no |  |  | ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠰᠠᡳᠨ ᠪᡳᠰᡳᠮᡝ ᠪᠠᠨᠵᡳᠨᠠᠮᡝ᠉ None ᡩᡝ ᠪᡳᠮᡝ ᠪᠠᠨᠵᡳᠨ ᡤᠣᠯᠣᠮᡝ᠉ |
| `enable_safety_checker` |  | boolean | no | `true` |  | ᠠᠮᡠᠯᠠᠨ ᡶᡳᠯᡝᠮᡝᠨᡳ ᠵᠠᠰᡳᠮᡝ. ᠪᡝ ᠣᠴᡳ ᠪᠠᠯᠠᠨᠰᡳᠨᡳ ᠪᠠᠨᠵᡳᠨ ᠠᠰᡠᠮᠪᡳ. ᡝᡵᡝ ᠪᠠᠨᠵᡳᠨ ᠠᡴᡡ ᠣᠴᡳ ᠵᠠᡴᡠᠨ ᡶᡝᠨᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠪᡝ ᠪᠠᠨᠵᡳᠮᡝ; true ᠪᡝ ᠵᠠᠰᡳᠮᡝ. |

## 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} | ᠮᠣᠳᡝᠯ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠤᠯᡥᠠᠨ ᡤᠠᠳᠠᠨ᠉ |
| `seeds` | array of integer | ᠵᡠᠯᡤᠠᠨ ᡳ ᠵᡝᠮᡝ ᠪᡳᠮᠪᡳ ᠪᡠᠶᡝᠮᡝ ᡳ ᠠᠯᡳᠨ ᡤᠠᠳᠠᠨ. |
| `actual_prompt` | string \| null | ᠵᠠᠯᡠ ᠪᡳᠮᠪᡝᡵᡝ ᡩᡝ ᠠᠰᡥᠠᠮᡝ ᡥᡡᠯᠠᠨ. |

## 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