# Wan v2.6 Image to Image API

> Nag-e-edit o nagre-restyle gamit ang 1-3 reference na larawan at prompt, na may hanggang 4 na output bawat kahilingan

Larawan-to-larawan modelo na tumatanggap ng `prompt` na hanggang 2000 character sa Chinese o English, at 1 hanggang 3 reference larawan sa `image_urls`. Tawagin ang mga ito bilang larawan 1, larawan 2 at larawan 3 sa prompt, halimbawa para pagsamahin ang isang estilo sa ibang background. May anim na `image_size` preset at ang `num_images` ay 1-4. Opsyonal ang `negative_prompt` at prompt expansion.

- 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/fil/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 | Mga instruction para sa pagbuo ng larawan sa Chinese o English, hanggang 2000 character. Halimbawa: 'Generate an image using the style of image 1 and background of image 2'. |
| `image_urls` | `images` | array of image URL | yes |  |  | Magbigay ng 1–3 editing reference larawan sa JPEG, JPG, PNG (no alpha), BMP, o WEBP format. Ang bawat file ay dapat hindi lalampas sa 10MB, at ang lapad at taas ay parehong nasa loob ng 384–5000px. Tukuyin ang mga ito sa prompt bilang 'larawan 1', 'larawan 2', at 'larawan 3', ayon sa pagkakasunod ng pagbibigay. |
| `negative_prompt` |  | string \| null | no | `` |  | Content na ibubukod sa resultang larawan, hanggang 500 character. |
| `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` | Itakda ang output dimensions sa loob ng kabuuang bilang ng pixel na 768*768 hanggang 1280*1280. Pumili ng preset gaya ng 'square_hd', 'landscape_16_9', o 'portrait_9_16', o magbigay ng eksaktong dimensions gamit ang ImageSize(width=1280, height=720). |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Bilang ng larawan para sa pagbuo, mula 1 hanggang 4. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | I-enable ang LLM optimization ng mga prompt kapalit ng karagdagang 3–4 segundo ng pagproseso. Malaki ang pakinabang ng mga simpleng prompt mula sa pinahusay na resulta. |
| `seed` |  | integer \| null | no |  |  | Random seed na nagpapahusay ng consistency kapag muling ginamit, at sumusuporta sa reproducibility gamit ang mga value mula 0 hanggang 2147483647. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Moderation ng input at output, ipinapatupad sa bawat kahilingan maliban kung awtorisado ang account na i-disable ito at naka-off ang opsyon. |

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} | Mga output larawan na nasa PNG format. |
| `seed` | integer | Seed value na ginamit habang bumubuo. |

## 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