# Qwen Image 3 Edit API

> Bearbeitung mit einem bis drei Referenzbildern, besonders geeignet zum Ändern oder Hinzufügen von Text in einem Bild.

Der Bearbeitungsmodus von Qwen Image 3 verarbeitet ein bis drei Referenzbilder (384 bis 2048 px pro Seite) und eine Anweisung, die sich als image 1, image 2 und image 3 auf sie beziehen kann. Er eignet sich besonders gut zum Ersetzen oder Hinzufügen von Schrift. Lassen Sie die Größe leer, damit das Modell sie wählt, oder legen Sie eine voreingestellte oder benutzerdefinierte Größe bis 2K fest; bis zu sechs Ergebnisse pro Anfrage.

- 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/de/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 | Textbeschreibung der vorzunehmenden Bearbeitung auf Chinesisch oder Englisch, auf 5000 Zeichen begrenzt. |
| `negative_prompt` |  | string \| null | no | `` | ≤ 500 characters | Aus dem resultierenden Bild auszuschließender Inhalt, auf 500 Zeichen begrenzt. |
| `image_size` |  | object {width, height} \| enum (string) \| null | no |  | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Abmessungen des Ausgabebilds, begrenzt durch eine Gesamtpixelanzahl von 512 × 512 bis 2048 × 2048. Ohne Größenangabe wählt das Modell automatisch eine Auflösung. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Steuert die automatische Umschreibung des Prompts durch ein LLM zur Verbesserung der Ergebnisse. |
| `seed` |  | integer \| null | no |  |  | Zufälliger Seed für reproduzierbare Ergebnisse, im Bereich von 0 bis 2147483647. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 6 | Für die Generierung angeforderte Bildanzahl. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Dateiformat des resultierenden Bilds. |
| `image_urls` | `images` | array of image URL | yes |  |  | 1–3 Bearbeitungsreferenzen im Format JPEG, JPG, PNG (ohne Alpha) oder WEBP bereitstellen, maximal 10MB pro Datei und mit 384–2048px pro Achse. Im Prompt entsprechend der Reihenfolge als 'image 1', 'image 2' und 'image 3' referenzieren. |

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} | Durch die Generierung erzeugte Bilder. |
| `seed` | integer | Während der Generierung angewendeter Seed-Wert. |

## 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