# Qwen Image Edit Plus Lora Gallery

> Create group photos  


## Overview

- **Endpoint**: `https://fal.run/fal-ai/qwen-image-edit-plus-lora-gallery/group-photo`
- **Model ID**: `fal-ai/qwen-image-edit-plus-lora-gallery/group-photo`
- **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 URLs of the images to combine into a group photo. Provide 2 or more individual portrait images.
  - Array of string
  - Examples: ["https://v3.fal.media/files/monkey/i3saq4bAPXSIl08nZtq9P_ec535747aefc4e31943136a6d8587075.png","https://v3b.fal.media/files/b/kangaroo/OEtbMr7E43t0UPT8JwRT4_091834d85d8346d6960e3fd789d67db8.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 the group photo scene, setting, and style. The model will maintain character consistency and add vintage effects like grain, blur, and retro filters. Default value: `"Two people standing next to each other outside with a landscape background"`
  - Default: `"Two people standing next to each other outside with a landscape background"`
  - Examples: "Two people standing next to each other outside with a landscape background", "Group photo outdoors with mountains and nature in the background, vintage style", "Two people next to each other in a scenic outdoor setting with retro filter", "People standing together outside with beautiful landscape behind them"

- **`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://v3.fal.media/files/monkey/i3saq4bAPXSIl08nZtq9P_ec535747aefc4e31943136a6d8587075.png",
    "https://v3b.fal.media/files/b/kangaroo/OEtbMr7E43t0UPT8JwRT4_091834d85d8346d6960e3fd789d67db8.png"
  ]
}
```

**Full Example**:

```json
{
  "image_urls": [
    "https://v3.fal.media/files/monkey/i3saq4bAPXSIl08nZtq9P_ec535747aefc4e31943136a6d8587075.png",
    "https://v3b.fal.media/files/b/kangaroo/OEtbMr7E43t0UPT8JwRT4_091834d85d8346d6960e3fd789d67db8.png"
  ],
  "guidance_scale": 1,
  "num_inference_steps": 6,
  "acceleration": "regular",
  "negative_prompt": " ",
  "enable_safety_checker": true,
  "output_format": "png",
  "num_images": 1,
  "prompt": "Two people standing next to each other outside with a landscape background",
  "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/kangaroo/GGvzZELjxMpFvV2IAEb_9.png"}]

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



**Example Response**:

```json
{
  "images": [
    {
      "url": "https://v3b.fal.media/files/b/kangaroo/GGvzZELjxMpFvV2IAEb_9.png"
    }
  ]
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/qwen-image-edit-plus-lora-gallery/group-photo \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "image_urls": [
       "https://v3.fal.media/files/monkey/i3saq4bAPXSIl08nZtq9P_ec535747aefc4e31943136a6d8587075.png",
       "https://v3b.fal.media/files/b/kangaroo/OEtbMr7E43t0UPT8JwRT4_091834d85d8346d6960e3fd789d67db8.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/group-photo",
    arguments={
        "image_urls": ["https://v3.fal.media/files/monkey/i3saq4bAPXSIl08nZtq9P_ec535747aefc4e31943136a6d8587075.png", "https://v3b.fal.media/files/b/kangaroo/OEtbMr7E43t0UPT8JwRT4_091834d85d8346d6960e3fd789d67db8.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/group-photo", {
  input: {
    image_urls: ["https://v3.fal.media/files/monkey/i3saq4bAPXSIl08nZtq9P_ec535747aefc4e31943136a6d8587075.png", "https://v3b.fal.media/files/b/kangaroo/OEtbMr7E43t0UPT8JwRT4_091834d85d8346d6960e3fd789d67db8.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/group-photo)
- [API Documentation](https://fal.ai/models/fal-ai/qwen-image-edit-plus-lora-gallery/group-photo/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/qwen-image-edit-plus-lora-gallery/group-photo)

### 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)
