# Qwen Image 3 Edit API

> ویرایش با یک تا سه تصویر مرجع؛ مناسب برای تغییر یا افزودن متن در تصویر.

حالت ویرایش Qwen Image 3 یک تا سه تصویر مرجع (384 تا 2048 px در هر ضلع) و یک دستور می‌گیرد که می‌تواند به آن‌ها با image 1، image 2 و image 3 ارجاع دهد. این مدل به‌ویژه در جایگزینی یا افزودن نوشته توانمند است. اندازه را خالی بگذارید تا مدل انتخاب کند، یا اندازهٔ ازپیش‌تنظیم‌شده یا سفارشی تا 2K تعیین کنید؛ حداکثر شش نتیجه در هر درخواست.

- Model id: `alibaba/qwen-image-3/edit`
- Made by: Alibaba
- Category: Image Editing
- Output: image
- Price: from $0.04 / image (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.com/v1/run/alibaba/qwen-image-3/edit`
- Quote: `POST https://api.doitong.com/v1/quote/alibaba/qwen-image-3/edit`
- Docs page: https://doitong.com/fa/developers/models/alibaba/qwen-image-3/edit

## Pricing

Price: **from $0.04 / image** (the lowest tier; the quote prices your exact input). Billed per generated image (`num_images`, default 1).

The full example input below costs $0.075 = 75 API credits (1 image × 75 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/alibaba/qwen-image-3/edit` 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 – 5000 characters | متن توصیف‌کننده ویرایش موردنظر، به چینی یا انگلیسی و محدود به 5000 نویسه. |
| `negative_prompt` |  | string \| null | no | `` | ≤ 500 characters | محتوایی که باید از تصویر نهایی حذف شود، محدود به 500 نویسه. |
| `image_size` |  | object {width, height} \| enum (string) \| null | no |  | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | ابعاد تصویر خروجی، محدود به تعداد پیکسل کل از 512 × 512 تا 2048 × 2048. حذف اندازه، انتخاب خودکار وضوح را به مدل واگذار می‌کند. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | بازنویسی خودکار پرامپت توسط LLM برای بهبود نتایج را کنترل می‌کند. |
| `seed` |  | integer \| null | no |  |  | Seed تصادفی برای نتایج تکرارپذیر، از 0 تا 2147483647. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 6 | تعداد تصاویر درخواستی برای تولید. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | قالب فایل تصویر نهایی. |
| `image_urls` | `images` | array of image URL | yes |  |  | 1–3 مرجع ویرایش را در قالب JPEG، JPG، PNG (بدون آلفا) یا WEBP، با حداکثر 10MB برای هر فایل و ابعاد 384–2048px در هر محور ارائه دهید. در پرامپت بر اساس ترتیب ارائه، با 'image 1'، 'image 2' و 'image 3' به آن‌ها ارجاع دهید. |

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": "Change the text on the sneaker's side to read \"RUN\" in bold letters",
  "images": [
    "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
  ]
}
```

A fuller example:

```json
{
  "prompt": "Change the text on the sneaker's side to read \"RUN\" in bold letters",
  "images": [
    "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.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/alibaba/qwen-image-3/edit?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Change the text on the sneaker'\''s side to read \"RUN\" in bold letters",
    "images": [
      "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.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/alibaba/qwen-image-3/edit?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Change the text on the sneaker's side to read \"RUN\" in bold letters",
    "images": [
      "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.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": "Change the text on the sneaker's side to read \"RUN\" in bold letters",
    "images": [
        "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
    ],
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/alibaba/qwen-image-3/edit", 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": "alibaba/qwen-image-3/edit",
      "input": {
        "prompt": "Change the text on the sneaker's side to read \"RUN\" in bold letters",
        "images": [
          "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.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": "alibaba/qwen-image-3/edit",
  "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": 75,
    "usd": "0.075",
    "charged": 75,
    "refunded": 0
  },
  "input": {
    "prompt": "Change the text on the sneaker's side to read \"RUN\" in bold letters",
    "images": [
      "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.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} | تصاویر تولیدشده. |
| `seed` | integer | مقدار Seed اعمال‌شده هنگام تولید. |

## Related models

- [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 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
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output image
- [Qwen Image Edit](https://doitong.com/developers/models/qwen-image-edit.md) (`qwen-image-edit`): $0.03 / image
- [Qwen Image Edit 2509](https://doitong.com/developers/models/qwen-image-edit-2509.md) (`qwen-image-edit-2509`): $0.03 / megapixel

## Links

- HTML page: https://doitong.com/developers/models/alibaba/qwen-image-3/edit
- 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=alibaba/qwen-image-3/edit
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/alibaba/qwen-image-3/edit