# Qwen Image Layered

> Qwen-Image-Layered is a model capable of decomposing an image into multiple RGBA layers.


## Overview

- **Endpoint**: `https://fal.run/fal-ai/qwen-image-layered`
- **Model ID**: `fal-ai/qwen-image-layered`
- **Category**: image-to-image
- **Kind**: inference
**Tags**: qwen, layer



## Pricing

Your request will cost $0.05 per image.



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:


- **`prompt`** (`string`, _optional_):
  A caption for the input image.

- **`image_url`** (`string`, _required_):
  The URL of the input image.
  - Examples: "https://v3b.fal.media/files/b/0a86d421/6xSMYtyW-fm2ciM6dHEgB.png"

- **`negative_prompt`** (`string`, _optional_):
  The negative prompt to generate an image from. Default value: `""`
  - Default: `""`

- **`num_inference_steps`** (`integer`, _optional_):
  The number of inference steps to perform. Default value: `28`
  - Default: `28`
  - Range: `1` to `50`

- **`guidance_scale`** (`float`, _optional_):
  The guidance scale to use for the image generation. Default value: `5`
  - Default: `5`
  - Range: `1` to `20`

- **`seed`** (`integer`, _optional_):
  The same seed and the same prompt given to the same version of the model
  will output the same image every time.

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

- **`num_layers`** (`integer`, _optional_):
  The number of layers to generate. Default value: `4`
  - Default: `4`
  - Range: `1` to `10`

- **`enable_safety_checker`** (`boolean`, _optional_):
  If set to true, the safety checker will be enabled. Default value: `true`
  - Default: `true`

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

- **`acceleration`** (`AccelerationEnum`, _optional_):
  The acceleration level to use. Default value: `"regular"`
  - Default: `"regular"`
  - Options: `"none"`, `"regular"`, `"high"`



**Required Parameters Example**:

```json
{
  "image_url": "https://v3b.fal.media/files/b/0a86d421/6xSMYtyW-fm2ciM6dHEgB.png"
}
```

**Full Example**:

```json
{
  "image_url": "https://v3b.fal.media/files/b/0a86d421/6xSMYtyW-fm2ciM6dHEgB.png",
  "num_inference_steps": 28,
  "guidance_scale": 5,
  "num_layers": 4,
  "enable_safety_checker": true,
  "output_format": "png",
  "acceleration": "regular"
}
```


### Output Schema

The API returns the following output format:

- **`images`** (`list<ImageFile>`, _required_):
  The generated image files info.
  - Array of ImageFile
  - Examples: [{"url":"https://v3b.fal.media/files/b/0a86d42c/7T3zJKciQ1cCzqR3ADLif.png"},{"url":"https://v3b.fal.media/files/b/0a86d42c/KVt5pIhe2dU-qZNC2Njo2.png"},{"url":"https://v3b.fal.media/files/b/0a86d42c/3BMMGMaHyA3Y7Q_kamIJ_.png"},{"url":"https://v3b.fal.media/files/b/0a86d42c/AY1BjZxhqS1jl-Pw2S1Tx.png"}]

- **`timings`** (`Timings`, _required_)

- **`seed`** (`integer`, _required_):
  Seed of the generated Image. It will be the same value of the one passed in the
  input or the randomly generated that was used in case none was passed.

- **`has_nsfw_concepts`** (`list<boolean>`, _required_):
  Whether the generated images contain NSFW concepts.
  - Array of boolean

- **`prompt`** (`string`, _optional_):
  The prompt used to generate the image.



**Example Response**:

```json
{
  "images": [
    {
      "url": "https://v3b.fal.media/files/b/0a86d42c/7T3zJKciQ1cCzqR3ADLif.png"
    },
    {
      "url": "https://v3b.fal.media/files/b/0a86d42c/KVt5pIhe2dU-qZNC2Njo2.png"
    },
    {
      "url": "https://v3b.fal.media/files/b/0a86d42c/3BMMGMaHyA3Y7Q_kamIJ_.png"
    },
    {
      "url": "https://v3b.fal.media/files/b/0a86d42c/AY1BjZxhqS1jl-Pw2S1Tx.png"
    }
  ]
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/qwen-image-layered \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "image_url": "https://v3b.fal.media/files/b/0a86d421/6xSMYtyW-fm2ciM6dHEgB.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-layered",
    arguments={
        "image_url": "https://v3b.fal.media/files/b/0a86d421/6xSMYtyW-fm2ciM6dHEgB.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-layered", {
  input: {
    image_url: "https://v3b.fal.media/files/b/0a86d421/6xSMYtyW-fm2ciM6dHEgB.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-layered)
- [API Documentation](https://fal.ai/models/fal-ai/qwen-image-layered/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/qwen-image-layered)

### 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)