README.md

---
license: apache-2.0
---
# Aesthetic Enhancement - Kontext Image Editing LoRA

## Model Introduction

This LoRA model is trained based on the [Kontext](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Kontext-dev) model and [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio). After using this model, you can input the instruction `Enhance the aesthetic quality of this image.` to enhance the aesthetic quality of an image. **The model automatically analyzes aspects such as lighting and composition based on the image content and adjusts them to make the image more visually appealing.** This model can be applied repeatedly, meaning you can perform aesthetic enhancement multiple times on an already enhanced image.

## Model Results

||Example 1|Example 2|Example 3|
|-|-|-|-|
|Original|![](./assets/9.jpg)|![](./assets/6.jpg)|![](./assets/12.jpg)|
|1st Enhancement|![](./assets/9_enhance_0.jpg)|![](./assets/6_enhance_0.jpg)|![](./assets/12_enhance_0.jpg)|
|2nd Enhancement|![](./assets/9_enhance_1.jpg)|![](./assets/6_enhance_1.jpg)|![](./assets/12_enhance_1.jpg)|
|3rd Enhancement|![](./assets/9_enhance_2.jpg)|![](./assets/6_enhance_2.jpg)|![](./assets/12_enhance_2.jpg)|

||Example 4|Example 5|Example 6|
|-|-|-|-|
|Original|![](./assets/15.jpg)|![](./assets/5.jpg)|![](./assets/11.jpg)|
|1st Enhancement|![](./assets/15_enhance_0.jpg)|![](./assets/5_enhance_0.jpg)|![](./assets/11_enhance_0.jpg)|
|2nd Enhancement|![](./assets/15_enhance_1.jpg)|![](./assets/5_enhance_1.jpg)|![](./assets/11_enhance_1.jpg)|
|3rd Enhancement|![](./assets/15_enhance_2.jpg)|![](./assets/5_enhance_2.jpg)|![](./assets/11_enhance_2.jpg)|

## Usage Instructions

This model is built on the [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio/tree/main/examples/flux) framework. Please install it first:

```
git clone https://github.com/modelscope/DiffSynth-Studio.git  
cd DiffSynth-Studio
pip install -e .
```

```python
import torch
from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
from PIL import Image
from modelscope import snapshot_download
```

```python
snapshot_download("DiffSynth-Studio/FLUX.1-Kontext-dev-lora-ArtAug", cache_dir="./models")
pipe = FluxImagePipeline.from_pretrained(
    torch_dtype=torch.bfloat16,
    device="cuda",
    model_configs=[
        ModelConfig(model_id="black-forest-labs/FLUX.1-Kontext-dev", origin_file_pattern="flux1-kontext-dev.safetensors"),
        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"),
        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/"),
        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
    ],
)
pipe.load_lora(pipe.dit, "models/DiffSynth-Studio/FLUX.1-Kontext-dev-lora-ArtAug/model.safetensors", alpha=1)

image = Image.open("your_image.jpg")
image = pipe(
    prompt="Enhance the aesthetic quality of this image.",
    kontext_images=image,
    embedded_guidance=2.5,
    seed=0,
)
image.save("output.jpg")
```