# Qwen Image 3 Edit API

> ایک سے تین حوالہ تصاویر کے ساتھ ترمیم، تصویر میں متن بدلنے یا شامل کرنے میں مضبوط

Qwen Image 3 کا ایڈیٹنگ موڈ ایک سے تین حوالہ تصاویر لیتا ہے (ہر سمت 384 سے 2048 px) اور ایک ہدایت لیتا ہے جو انہیں image 1، image 2 اور image 3 کے طور پر بیان کر سکتی ہے۔ یہ خاص طور پر حروف کو تبدیل کرنے یا شامل کرنے میں اچھا ہے۔ سائز خالی چھوڑیں تاکہ ماڈل خود منتخب کرے، یا 2K تک پری سیٹ یا حسبِ ضرورت سائز مقرر کریں؛ ہر درخواست میں چھ نتائج تک۔

- 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/ur/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 | کی جانے والی ترمیم کی وضاحت کرنے والا چینی یا انگریزی متن، زیادہ سے زیادہ 5000 حروف۔ |
| `negative_prompt` |  | string \| null | no | `` | ≤ 500 characters | نتیجہ خیز تصویر سے خارج کیا جانے والا مواد، زیادہ سے زیادہ 500 حروف۔ |
| `image_size` |  | object {width, height} \| enum (string) \| null | no |  | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | آؤٹ پٹ تصویر کے dimensions، کل پکسلز کی تعداد 512 × 512 سے 2048 × 2048 تک محدود ہے۔ سائز چھوڑنے پر ماڈل خودکار طور پر ریزولوشن منتخب کرتا ہے۔ |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | نتائج بہتر بنانے کے لیے LLM کے ذریعے خودکار پرامپٹ rewriting کو کنٹرول کرتا ہے۔ |
| `seed` |  | integer \| null | no |  |  | قابلِ تکرار نتائج فعال کرنے والا تصادفی سیڈ، 0 سے 2147483647 تک۔ |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 6 | تخلیق کے لیے مطلوبہ تصاویر کی تعداد۔ |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | نتیجہ خیز تصویر کا فائل فارمیٹ۔ |
| `image_urls` | `images` | array of image URL | yes |  |  | JPEG، JPG، PNG (alpha کے بغیر) یا WEBP فارمیٹ میں 1–3 ترمیمی حوالے فراہم کریں، ہر فائل زیادہ سے زیادہ 10MB اور ہر axis پر dimensions 384–2048px ہوں۔ پرامپٹ میں فراہم کردہ ترتیب کے مطابق انہیں 'image 1'، 'image 2' اور 'image 3' کہیں۔ |

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} | تخلیق سے تیار کردہ تصاویر۔ |
| `seed` | integer | تخلیق کے دوران لاگو ہونے والی سیڈ قدر۔ |

## 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