# Flux 2 Lora Gallery

> Makes images more photorealistic and natural


## Overview

- **Endpoint**: `https://fal.run/fal-ai/flux-2-lora-gallery/realism`
- **Model ID**: `fal-ai/flux-2-lora-gallery/realism`
- **Category**: text-to-image
- **Kind**: inference
**Tags**: stylized, transform



## Pricing

- **Price**: $0.021 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:


- **`prompt`** (`string`, _required_):
  The prompt to generate a realistic image with natural lighting and authentic details.
  - Examples: "A portrait of a woman with natural lighting", "Street photography of a busy city scene", "Landscape photography of mountains at golden hour", "Documentary style photo of everyday life"

- **`image_size`** (`ImageSize | Enum`, _optional_):
  The size of the generated image. Default value: `landscape_4_3`
  - Default: `"landscape_4_3"`
  - One of: ImageSize | Enum

- **`guidance_scale`** (`float`, _optional_):
  The CFG (Classifier Free Guidance) scale. Controls how closely the model follows the prompt. Default value: `2.5`
  - Default: `2.5`
  - Range: `0` to `20`

- **`num_inference_steps`** (`integer`, _optional_):
  The number of inference steps to perform. Default value: `40`
  - Default: `40`
  - Range: `4` to `50`

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

- **`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`

- **`lora_scale`** (`float`, _optional_):
  The strength of the realism effect. Default value: `1`
  - Default: `1`
  - Range: `0` to `2`



**Required Parameters Example**:

```json
{
  "prompt": "A portrait of a woman with natural lighting"
}
```

**Full Example**:

```json
{
  "prompt": "A portrait of a woman with natural lighting",
  "image_size": "landscape_4_3",
  "guidance_scale": 2.5,
  "num_inference_steps": 40,
  "acceleration": "regular",
  "enable_safety_checker": true,
  "output_format": "png",
  "num_images": 1,
  "lora_scale": 1
}
```


### Output Schema

The API returns the following output format:

- **`images`** (`list<Image>`, _required_):
  The generated realistic style images
  - Array of Image
  - Examples: [{"url":"https://v3b.fal.media/files/b/koala/zjTCkqpflaiokwqCX3fKk.png"}]

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

- **`prompt`** (`string`, _required_):
  The prompt used for generation



**Example Response**:

```json
{
  "images": [
    {
      "url": "https://v3b.fal.media/files/b/koala/zjTCkqpflaiokwqCX3fKk.png"
    }
  ],
  "prompt": ""
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/flux-2-lora-gallery/realism \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "A portrait of a woman with natural lighting"
   }'
```

### 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/flux-2-lora-gallery/realism",
    arguments={
        "prompt": "A portrait of a woman with natural lighting"
    },
    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/flux-2-lora-gallery/realism", {
  input: {
    prompt: "A portrait of a woman with natural lighting"
  },
  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/flux-2-lora-gallery/realism)
- [API Documentation](https://fal.ai/models/fal-ai/flux-2-lora-gallery/realism/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/flux-2-lora-gallery/realism)

### 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)