# Qwen Image Edit 2511 Multiple Angles API

> 가로, 세로 및 줌 제어를 사용해 새로운 카메라 각도에서 장면을 다시 렌더링합니다

카메라 제어 LoRA로 입력 이미지의 카메라 시점을 변경합니다. `horizontal_angle`은 0~360도, `vertical_angle`은 -30~90, `zoom`은 0~10입니다. `lora_scale` (0~4)은 효과 강도를 설정하고 `additional_prompt`는 추가 텍스트를 덧붙입니다. 호출당 최대 4개 이미지를 생성합니다.

- Model id: `qwen-image-edit-2511-multiple-angles`
- Made by: Alibaba
- Category: Image Editing
- Output: image
- Estimated price per run: $0.035 / image (cheapest run $0.035 (35 API credits))
- Run: `POST https://api.doitong.com/v1/run/qwen-image-edit-2511-multiple-angles`
- Quote: `POST https://api.doitong.com/v1/quote/qwen-image-edit-2511-multiple-angles`
- Docs page: https://doitong.com/ko/developers/models/qwen-image-edit-2511-multiple-angles

## Pricing

Price: **$0.035 / image**. Estimated from the typical cost of one run, per output (`num_images`). The quote is exactly what the run charges.

The full example input below costs $0.035 = 35 API credits (1 image × 35 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/qwen-image-edit-2511-multiple-angles` 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 |
|---|---|---|---|---|---|---|
| `image_urls` | `images` | array of image URL | yes |  | ≥ 1 items | 카메라 각도를 조정할 이미지를 가리키는 URL입니다. |
| `horizontal_angle` |  | number | no | `0` | 0 – 360 | 객체를 기준으로 한 가로 카메라 회전 각도입니다. 0°는 정면, 90°는 오른쪽, 180°는 후면, 270°는 왼쪽, 360°는 다시 정면을 향합니다. |
| `vertical_angle` |  | number | no | `0` | -30 – 90 | 도 단위로 측정한 카메라 고도각입니다. -30°은 낮은 각도에서 위를 보고, 0°은 눈높이, 30°은 높은 위치, 60°은 높은 각도에서 보고, 90°은 버드아이 시점에서 아래를 봅니다. |
| `zoom` |  | number | no | `5` | 0 – 10 | 카메라 거리 또는 줌 설정입니다. 0은 멀리서 본 와이드 샷, 5는 일반 거리의 미디엄 샷, 10은 매우 가까운 클로즈업 샷입니다. |
| `additional_prompt` |  | string \| null | no |  |  | 자동으로 생성된 프롬프트 뒤에 추가할 텍스트입니다. |
| `lora_scale` |  | number | no | `1` | 0 – 4 | 이 계수로 LoRA 모델의 크기를 조정해 카메라 제어 강도를 조절합니다. |
| `image_size` |  | object {width, height} \| enum (string) \| null | no |  | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | 출력 크기 재정의입니다. 지정하지 않으면 입력 이미지의 크기를 유지합니다. |
| `guidance_scale` |  | number | no | `4.5` | 1 – 20 | CFG(Classifier Free Guidance)의 guidance scale입니다. |
| `num_inference_steps` |  | integer | no | `28` | 1 – 50 | 실행할 추론 단계 수입니다. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | 이미지 생성 가속 설정입니다. |
| `negative_prompt` |  | string | no | `` |  | 생성 중 사용하는 네거티브 프롬프트입니다. |
| `seed` |  | integer \| null | no |  |  | 재현 가능한 결과를 위해 무작위성을 제어하는 시드입니다. |
| `enable_safety_checker` |  | boolean | no | `true` |  | 안전 검사를 제어하는 스위치입니다. 끄기 설정은 승인된 계정에서만 적용됩니다. 해당 승인이 없는 모든 요청은 안전 검사를 거칩니다. |
| `output_format` |  | enum (string) | no | `png` | `png`, `jpeg`, `webp` | 결과 이미지의 형식입니다. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | 생성할 이미지의 개수입니다. |

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
{
  "images": [
    "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  ]
}
```

A fuller example:

```json
{
  "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/qwen-image-edit-2511-multiple-angles?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "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/qwen-image-edit-2511-multiple-angles?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "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 = {
    "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/qwen-image-edit-2511-multiple-angles", 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": "qwen-image-edit-2511-multiple-angles",
      "input": {
        "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": "qwen-image-edit-2511-multiple-angles",
  "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": 35,
    "usd": "0.035",
    "charged": 35,
    "refunded": 0
  },
  "input": {
    "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,
        "width": 1024,
        "height": 768
      }
    ],
    "seed": 42,
    "prompt": "string"
  },
  "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, width, height} | 생성 또는 편집으로 만들어진 이미지입니다. |
| `seed` | integer | 생성 중 사용하는 시드 값입니다. |
| `prompt` | string | 생성 프로세스에 제공하는 조합된 프롬프트입니다. |

## Related models

- [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
- [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/qwen-image-edit-2511-multiple-angles
- 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=qwen-image-edit-2511-multiple-angles
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/qwen-image-edit-2511-multiple-angles