# Qwen Image Edit Plus Lora Gallery

> Blend products into backgrounds with automatic perspective and lighting correction


## Overview

- **Endpoint**: `https://fal.run/fal-ai/qwen-image-edit-plus-lora-gallery/integrate-product`
- **Model ID**: `fal-ai/qwen-image-edit-plus-lora-gallery/integrate-product`
- **Category**: image-to-image
- **Kind**: inference
**Tags**: stylized, transform



## Pricing

- **Price**: $0.035 per megapixels

For more details, see [fal.ai pricing](https://fal.ai/pricing).

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:


- **`image_urls`** (`list<string>`, _required_):
  The URL of the image with product to integrate into background.
  - Array of string
  - Examples: ["https://v3b.fal.media/files/b/koala/LFYeCtq2LB4s6IpmoI2iy_2fb7b46d1f3749db9f7bab679bc6c4f3.png"]

- **`image_size`** (`ImageSize | Enum`, _optional_):
  The size of the generated image. If not provided, the size of the final input image will be used.
  - One of: ImageSize | Enum

- **`guidance_scale`** (`float`, _optional_):
  The CFG (Classifier Free Guidance) scale. Controls how closely the model follows the prompt. Default value: `1`
  - Default: `1`
  - Range: `0` to `20`

- **`num_inference_steps`** (`integer`, _optional_):
  The number of inference steps to perform. Default value: `6`
  - Default: `6`
  - Range: `2` to `50`

- **`acceleration`** (`AccelerationEnum`, _optional_):
  Acceleration level for image generation. 'regular' balances speed and quality. Default value: `"regular"`
  - Default: `"regular"`
  - Options: `"none"`, `"regular"`

- **`negative_prompt`** (`string`, _optional_):
  The negative prompt for the generation Default value: `" "`
  - Default: `" "`
  - Examples: " "

- **`seed`** (`integer`, _optional_):
  Random seed for reproducibility. Same seed with same prompt will produce same result.

- **`sync_mode`** (`boolean`, _optional_):
  If `True`, the media will be returned as a data URI and won't be saved in history.
  - Default: `false`

- **`enable_safety_checker`** (`boolean`, _optional_):
  Whether to enable the safety checker for the generated image. Default value: `true`
  - Default: `true`

- **`output_format`** (`OutputFormatEnum`, _optional_):
  The format of the output image Default value: `"png"`
  - Default: `"png"`
  - Options: `"png"`, `"jpeg"`, `"webp"`

- **`num_images`** (`integer`, _optional_):
  Number of images to generate Default value: `1`
  - Default: `1`
  - Range: `1` to `4`

- **`prompt`** (`string`, _optional_):
  Describe how to blend and integrate the product/element into the background. The model will automatically correct perspective, lighting and shadows for natural integration. Default value: `"Blend and integrate the product into the background"`
  - Default: `"Blend and integrate the product into the background"`
  - Examples: "Blend and integrate the product into the background with correct perspective and lighting", "Seamlessly blend the object into the scene with natural shadows", "Integrate the product naturally into the environment"

- **`lora_scale`** (`float`, _optional_):
  The scale factor for the LoRA model. Controls the strength of the LoRA effect. Default value: `1`
  - Default: `1`
  - Range: `0` to `4`



**Required Parameters Example**:

```json
{
  "image_urls": [
    "https://v3b.fal.media/files/b/koala/LFYeCtq2LB4s6IpmoI2iy_2fb7b46d1f3749db9f7bab679bc6c4f3.png"
  ]
}
```

**Full Example**:

```json
{
  "image_urls": [
    "https://v3b.fal.media/files/b/koala/LFYeCtq2LB4s6IpmoI2iy_2fb7b46d1f3749db9f7bab679bc6c4f3.png"
  ],
  "guidance_scale": 1,
  "num_inference_steps": 6,
  "acceleration": "regular",
  "negative_prompt": " ",
  "enable_safety_checker": true,
  "output_format": "png",
  "num_images": 1,
  "prompt": "Blend and integrate the product into the background with correct perspective and lighting",
  "lora_scale": 1
}
```


### Output Schema

The API returns the following output format:

- **`images`** (`list<Image>`, _required_):
  The generated/edited images
  - Array of Image
  - Examples: [{"url":"https://v3b.fal.media/files/b/penguin/4_Bz95EOoETXJlfuWib3r.png"}]

- **`seed`** (`integer`, _required_):
  The seed used for generation



**Example Response**:

```json
{
  "images": [
    {
      "url": "https://v3b.fal.media/files/b/penguin/4_Bz95EOoETXJlfuWib3r.png"
    }
  ]
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/qwen-image-edit-plus-lora-gallery/integrate-product \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "image_urls": [
       "https://v3b.fal.media/files/b/koala/LFYeCtq2LB4s6IpmoI2iy_2fb7b46d1f3749db9f7bab679bc6c4f3.png"
     ]
   }'
```

### Python

Ensure you have the Python client installed:

```bash
pip install fal-client
```

Then use the API client to make requests:

```python
import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/qwen-image-edit-plus-lora-gallery/integrate-product",
    arguments={
        "image_urls": ["https://v3b.fal.media/files/b/koala/LFYeCtq2LB4s6IpmoI2iy_2fb7b46d1f3749db9f7bab679bc6c4f3.png"]
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)
```

### JavaScript

Ensure you have the JavaScript client installed:

```bash
npm install --save @fal-ai/client
```

Then use the API client to make requests:

```javascript
import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/qwen-image-edit-plus-lora-gallery/integrate-product", {
  input: {
    image_urls: ["https://v3b.fal.media/files/b/koala/LFYeCtq2LB4s6IpmoI2iy_2fb7b46d1f3749db9f7bab679bc6c4f3.png"]
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);
```


## Additional Resources

### Documentation

- [Model Playground](https://fal.ai/models/fal-ai/qwen-image-edit-plus-lora-gallery/integrate-product)
- [API Documentation](https://fal.ai/models/fal-ai/qwen-image-edit-plus-lora-gallery/integrate-product/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/qwen-image-edit-plus-lora-gallery/integrate-product)

### fal.ai Platform

- [Platform Documentation](https://docs.fal.ai)
- [Python Client](https://docs.fal.ai/clients/python)
- [JavaScript Client](https://docs.fal.ai/clients/javascript)