# Wan 2.5 Text to Image API

> Wan 2.5 chuyển văn bản thành hình ảnh với lời nhắc tiếng Trung và tiếng Anh, tối đa bốn hình ảnh mỗi lần gọi

Tạo hình ảnh từ `prompt` văn bản tối đa 2000 ký tự bằng tiếng Trung hoặc tiếng Anh. `num_images` từ 1 đến 4 và `image_size` nhận các giá trị đặt sẵn hoặc kích thước cụ thể, với tổng số pixel từ 768x768 đến 1440x1440. Mở rộng lời nhắc, tức viết lại lời nhắc bằng LLM, được bật mặc định. Ngoài ra còn có `negative_prompt` và `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/vi/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 | Hướng dẫn tạo hình ảnh, tối đa 2000 ký tự và phải viết bằng tiếng Trung hoặc tiếng Anh. |
| `negative_prompt` |  | string \| null | no |  |  | Lời nhắc phủ định chỉ định nội dung không mong muốn, tối đa 500 ký tự. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Số lượng hình ảnh tạo sinh, từ 1 đến 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` | Kích thước hình ảnh được tạo, với tổng số pixel từ 768×768 đến 1440×1440 và tỷ lệ khung hình từ 1:4 đến 4:1. Chỉ định trực tiếp kích thước hoặc chọn preset có tên, chẳng hạn 'square' hoặc 'landscape_16_9'. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Viết lại lời nhắc dựa trên LLM, đánh đổi thêm thời gian xử lý để có kết quả tốt hơn với lời nhắc ngắn. |
| `seed` |  | integer \| null | no |  |  | Seed giúp quá trình tạo sinh có thể tái lập. Đặt thành None sẽ chọn seed ngẫu nhiên. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Công tắc kiểm tra an toàn, trong đó trạng thái tắt yêu cầu ủy quyền tài khoản. Nếu không có ủy quyền, mọi yêu cầu đều được kiểm tra bất kể cài đặt; true bật trình kiểm tra. |

## 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} | Các hình ảnh được mô hình tạo sinh. |
| `seeds` | array of integer | Các giá trị seed dùng để tạo từng hình ảnh. |
| `actual_prompt` | string \| null | Lời nhắc thực sự được sử dụng khi bật tính năng viết lại. |

## 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