# Qwen Image Edit 2509 Lora Gallery

> Apply designs/graphics onto people's shirts


## Overview

- **Endpoint**: `https://fal.run/fal-ai/qwen-image-edit-2509-lora-gallery/shirt-design`
- **Model ID**: `fal-ai/qwen-image-edit-2509-lora-gallery/shirt-design`
- **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: first image is the person wearing a shirt, second image is the design/logo to put on the shirt.
  - Array of string
  - Examples: ["https://v3b.fal.media/files/b/tiger/1rq65RzrUwKtHLAwpEjq8_4ee388931b5142f1bd1f2e0a3cb2498e.png","https://github.com/fal-ai/fal-assets/blob/main/Logo%20Square.png?raw=true"]

- **`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 what design to put on the shirt. The model will apply the design from your input image onto the person's shirt. Default value: `"Put this design on their shirt"`
  - Default: `"Put this design on their shirt"`
  - Examples: "Put this design on their shirt", "Apply this graphic to their t-shirt", "Place this logo on their shirt"

- **`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/tiger/1rq65RzrUwKtHLAwpEjq8_4ee388931b5142f1bd1f2e0a3cb2498e.png",
    "https://github.com/fal-ai/fal-assets/blob/main/Logo%20Square.png?raw=true"
  ]
}
```

**Full Example**:

```json
{
  "image_urls": [
    "https://v3b.fal.media/files/b/tiger/1rq65RzrUwKtHLAwpEjq8_4ee388931b5142f1bd1f2e0a3cb2498e.png",
    "https://github.com/fal-ai/fal-assets/blob/main/Logo%20Square.png?raw=true"
  ],
  "guidance_scale": 1,
  "num_inference_steps": 6,
  "acceleration": "regular",
  "negative_prompt": " ",
  "enable_safety_checker": true,
  "output_format": "png",
  "num_images": 1,
  "prompt": "Put this design on their shirt",
  "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/panda/Y5wKKIEuFpRMEUQ8ZPy01.png"}]

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



**Example Response**:

```json
{
  "images": [
    {
      "url": "https://v3b.fal.media/files/b/panda/Y5wKKIEuFpRMEUQ8ZPy01.png"
    }
  ]
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/qwen-image-edit-2509-lora-gallery/shirt-design \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "image_urls": [
       "https://v3b.fal.media/files/b/tiger/1rq65RzrUwKtHLAwpEjq8_4ee388931b5142f1bd1f2e0a3cb2498e.png",
       "https://github.com/fal-ai/fal-assets/blob/main/Logo%20Square.png?raw=true"
     ]
   }'
```

### 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-2509-lora-gallery/shirt-design",
    arguments={
        "image_urls": ["https://v3b.fal.media/files/b/tiger/1rq65RzrUwKtHLAwpEjq8_4ee388931b5142f1bd1f2e0a3cb2498e.png", "https://github.com/fal-ai/fal-assets/blob/main/Logo%20Square.png?raw=true"]
    },
    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-2509-lora-gallery/shirt-design", {
  input: {
    image_urls: ["https://v3b.fal.media/files/b/tiger/1rq65RzrUwKtHLAwpEjq8_4ee388931b5142f1bd1f2e0a3cb2498e.png", "https://github.com/fal-ai/fal-assets/blob/main/Logo%20Square.png?raw=true"]
  },
  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-2509-lora-gallery/shirt-design)
- [API Documentation](https://fal.ai/models/fal-ai/qwen-image-edit-2509-lora-gallery/shirt-design/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/qwen-image-edit-2509-lora-gallery/shirt-design)

### 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)
