# Qwen Image Edit Plus Lora Gallery · Integrate Product API

> Platziert ein Produkt aus einem Eingabebild in einem Hintergrund und passt Perspektive, Beleuchtung und Schatten an

Eine Variante zur Bildbearbeitung, die ein Produkt oder Element in eine Szene einfügt. Übergib die Quellbilder in `image_urls` und beschreibe die Integration in `prompt`; der Standard-Prompt fordert bereits die Integration an. Die Ausgabegröße kann mit `image_size` festgelegt werden, und `num_images` gibt 1 bis 4 Ergebnisse zurück. `lora_scale` (0 bis 4) passt die Stärke der Integrations-LoRA an.

- Model id: `qwen-image-edit-plus-lora-gallery/integrate-product`
- 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.ru/v1/run/qwen-image-edit-plus-lora-gallery/integrate-product`
- Quote: `POST https://api.doitong.ru/v1/quote/qwen-image-edit-plus-lora-gallery/integrate-product`
- Docs page: https://doitong.com/de/developers/models/qwen-image-edit-plus-lora-gallery/integrate-product

## 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.ru/v1/quote/qwen-image-edit-plus-lora-gallery/integrate-product` 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 |  |  | URL des Bilds mit dem Produkt, das in einen Hintergrund integriert werden soll. |
| `image_size` |  | object {width, height} \| enum (string) \| null | no |  | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Überschreibung der Ausgabeabmessungen; ohne diese Angabe übernimmt das generierte Bild seine Größe vom letzten Eingabebild. |
| `guidance_scale` |  | number | no | `1` | 0 – 20 | Steuerung der Prompt-Treue über eine CFG-Skala, wobei CFG für Classifier Free Guidance steht. |
| `num_inference_steps` |  | integer | no | `6` | 2 – 50 | Anzahl der auszuführenden Inferenzschritte. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Beschleunigungseinstellung für die Bildgenerierung. Wähle 'regular' für ein ausgewogenes Verhältnis zwischen Geschwindigkeit und Qualität. |
| `negative_prompt` |  | string | no | `` |  | Negativer Prompt während der Generierung. |
| `seed` |  | integer \| null | no |  |  | Zufälliger Generierungs-Seed, der durch unveränderte Beibehaltung von Prompt und Seed reproduzierbare Ergebnisse ermöglicht. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Schalter für die Sicherheitsprüfung generierter Bilder, den nur autorisierte Konten deaktivieren dürfen. Für Anfragen ohne Autorisierung bleiben die Prüfungen obligatorisch. |
| `output_format` |  | enum (string) | no | `png` | `png`, `jpeg`, `webp` | Format des resultierenden Bildes. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Anzahl der zu erzeugenden Bilder. |
| `prompt` |  | string | no | `Blend and integrate the product into the background` |  | Anweisungen zur Hintergrundintegration eines Produkts oder Elements. Perspektive, Beleuchtung und Schatten werden automatisch für ein natürliches Ergebnis korrigiert; beschreibe die gewünschte Überblendung und Platzierung. |
| `lora_scale` |  | number | no | `1` | 0 – 4 | Stärke des LoRA-Beitrags, angepasst durch Skalierung des LoRA-Modells. |

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.ru/v1/run/qwen-image-edit-plus-lora-gallery/integrate-product?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.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/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-plus-lora-gallery/integrate-product?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.ru/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-plus-lora-gallery/integrate-product", 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.ru/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-plus-lora-gallery/integrate-product",
      "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-plus-lora-gallery/integrate-product",
  "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
  },
  "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | Durch Generierung oder Bearbeitung erzeugte Bilder. |
| `seed` | integer | Während der Generierung verwendeter Seed-Wert. |

## Related models

- [Qwen Image Edit Plus Lora Gallery · Add Background](https://doitong.com/developers/models/qwen-image-edit-plus-lora-gallery/add-background.md) (`qwen-image-edit-plus-lora-gallery/add-background`): $0.035 / image
- [Qwen Image Edit Plus Lora Gallery · Face to Full Portrait](https://doitong.com/developers/models/qwen-image-edit-plus-lora-gallery/face-to-full-portrait.md) (`qwen-image-edit-plus-lora-gallery/face-to-full-portrait`): $0.035 / image
- [Qwen Image Edit Plus Lora Gallery · Group Photo](https://doitong.com/developers/models/qwen-image-edit-plus-lora-gallery/group-photo.md) (`qwen-image-edit-plus-lora-gallery/group-photo`): $0.035 / image
- [Qwen Image Edit Plus Lora Gallery · Lighting Restoration](https://doitong.com/developers/models/qwen-image-edit-plus-lora-gallery/lighting-restoration.md) (`qwen-image-edit-plus-lora-gallery/lighting-restoration`): $0.035 / image
- [Qwen Image Edit Plus Lora Gallery · Multiple Angles](https://doitong.com/developers/models/qwen-image-edit-plus-lora-gallery/multiple-angles.md) (`qwen-image-edit-plus-lora-gallery/multiple-angles`): $0.035 / image
- [Qwen Image Edit Plus Lora Gallery · Next Scene](https://doitong.com/developers/models/qwen-image-edit-plus-lora-gallery/next-scene.md) (`qwen-image-edit-plus-lora-gallery/next-scene`): $0.035 / image
- [Qwen Image Edit Plus Lora Gallery · Remove Element](https://doitong.com/developers/models/qwen-image-edit-plus-lora-gallery/remove-element.md) (`qwen-image-edit-plus-lora-gallery/remove-element`): $0.035 / image
- [Qwen Image Edit Plus Lora Gallery · Remove Lighting](https://doitong.com/developers/models/qwen-image-edit-plus-lora-gallery/remove-lighting.md) (`qwen-image-edit-plus-lora-gallery/remove-lighting`): $0.035 / image

## Links

- HTML page: https://doitong.com/developers/models/qwen-image-edit-plus-lora-gallery/integrate-product
- 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-plus-lora-gallery/integrate-product
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/qwen-image-edit-plus-lora-gallery/integrate-product