# Wan v2.6 Image to Image API

> 1~3개의 참조 이미지와 프롬프트로 편집 또는 스타일 변경을 수행하며 요청당 최대 4개 출력 지원

최대 2000자의 중국어 또는 영어 `prompt`와 `image_urls`의 참조 이미지 1~3개를 받는 image-to-image 모델입니다. 프롬프트에서 image 1, image 2, image 3으로 참조할 수 있으며, 예를 들어 한 스타일을 다른 배경과 결합할 수 있습니다. 6가지 `image_size` 사전 설정과 1~4의 `num_images`를 제공합니다. 선택적 `negative_prompt`와 프롬프트 확장도 지원합니다.

- Model id: `wan/v2.6/image-to-image`
- Made by: Alibaba
- Category: Image Editing
- Output: image
- Price: $0.03 / image (cheapest run $0.03 (30 API credits))
- Run: `POST https://api.doitong.com/v1/run/wan/v2.6/image-to-image`
- Quote: `POST https://api.doitong.com/v1/quote/wan/v2.6/image-to-image`
- Docs page: https://doitong.com/ko/developers/models/wan/v2.6/image-to-image

## Pricing

Price: **$0.03 / image**. Billed per generated image (`num_images`, default 1).

The full example input below costs $0.03 = 30 API credits (1 image × 30 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/v2.6/image-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 | 중국어 또는 영어로 작성하는 이미지 생성 지침입니다. 최대 2000자입니다. 예: 'Generate an image using the style of image 1 and background of image 2' |
| `image_urls` | `images` | array of image URL | yes |  |  | JPEG, JPG, PNG(알파 없음), BMP 또는 WEBP 형식의 편집 참조 이미지 1~3개를 제공합니다. 각 파일은 10MB 이하여야 하며, 너비와 높이는 각각 384~5000px 범위여야 합니다. 제공된 순서에 따라 프롬프트에서 'image 1', 'image 2', 'image 3'으로 참조합니다. |
| `negative_prompt` |  | string \| null | no | `` |  | 결과 이미지에서 제외할 콘텐츠이며 최대 500자입니다. |
| `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` | 총 픽셀 수가 768*768~1280*1280 범위가 되도록 출력 크기를 설정합니다. 'square_hd', 'landscape_16_9', 'portrait_9_16'과 같은 프리셋을 선택하거나 ImageSize(width=1280, height=720)을 사용해 정확한 크기를 지정합니다. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | 1~4 범위의 이미지 생성 개수입니다. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | 추가로 3–4초의 처리 시간이 필요한 LLM 프롬프트 최적화를 활성화합니다. 단순한 프롬프트일수록 결과가 크게 향상됩니다. |
| `seed` |  | integer \| null | no |  |  | 재사용하면 일관성을 향상하고 재현성을 지원하는 무작위 시드입니다. 0~2147483647 값을 사용합니다. |
| `enable_safety_checker` |  | boolean | no | `true` |  | 모든 요청에서 입력과 출력을 검사합니다. 계정에 비활성화 권한이 있고 옵션을 끈 경우에만 해제됩니다. |

File parameters (`images`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "images": [
    "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  ]
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image_urls": [
    "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  ]
}
```

## 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/v2.6/image-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",
    "image_urls": [
      "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
    ]
  }'

# 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/v2.6/image-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",
    "image_urls": [
      "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
    ]
  }),
});
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",
    "image_urls": [
        "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
    ],
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/wan/v2.6/image-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/v2.6/image-to-image",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_urls": [
          "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
        ]
      },
      "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/v2.6/image-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": 30,
    "usd": "0.03",
    "charged": 30,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_urls": [
      "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
    ]
  },
  "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
      }
    ],
    "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.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} | PNG 형식의 출력 이미지입니다. |
| `seed` | integer | 생성 중 사용하는 시드 값입니다. |

## Related models

- [Wan v2.6 Text to Image](https://doitong.com/developers/models/wan/v2.6/text-to-image.md) (`wan/v2.6/text-to-image`): $0.03 / image
- [Wan v2.6 Text to Video](https://doitong.com/developers/models/wan/v2.6/text-to-video.md) (`wan/v2.6/text-to-video`): from $0.10 / second
- [Wan v2.6 Image to Video](https://doitong.com/developers/models/wan/v2.6/image-to-video.md) (`wan/v2.6/image-to-video`): from $0.10 / second
- [Alibaba V2.6 · Reference to Video · Flash](https://doitong.com/developers/models/wan/v2.6/reference-to-video/flash.md) (`wan/v2.6/reference-to-video/flash`): from $0.05 / second of output video
- [Wan v2.6 Reference to Video](https://doitong.com/developers/models/wan/v2.6/reference-to-video.md) (`wan/v2.6/reference-to-video`): from $0.10 / second
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image

## Links

- HTML page: https://doitong.com/developers/models/wan/v2.6/image-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/v2.6/image-to-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/wan/v2.6/image-to-image