<h3 id="beautiful-korean-woman-for-your-generations!">Beautiful Korean woman for your generations!</h3>This loRA doesn't depict any real person. It is designed to create idealised beautiful and sexy Korean/Japanese women!Disclaimer for AI Girl LoRAThe AI Girl LoRA image generation model produces outputs based on probabilistic training data and does not guarantee accuracy, originality, or freedom from bias. Users assume all risks associated with its use, including potential misuse of intellectual property or unintended content. By using this tool, you agree to indemnify and hold harmless the developers and distributors from any claims arising from generated images or related usage.

Korean Beauty

KoreanWoman_qwen21_c1-st6000.safetensors

Qwen Image 2.1 v1.5000

Krea2 v1.5000

Klein9B v1.20

ZImage v1.25

Qwen2512 v1.15

v1.0


# 

## Model Introduction

This model is trained using the [Civision/model training](https://modelscope.ai/civision/modelTraining) environment and computing resources provided by ModelScope.

* Model Type: LoRA
* Base Model: [Qwen/Qwen-Image-2.1](https://modelscope.ai/models/Qwen/Qwen-Image-2.1)
* Training Code: [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
* Data amount：92
* Total training steps：6000
* License: Apache-2.0

## Inference Code

Install [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio):

```bash
pip install diffsynth
```

Inference:

```python
from diffsynth.pipelines.qwen_image_21 import QwenImage21Pipeline, ModelConfig
import torch

pipe = QwenImage21Pipeline.from_pretrained(
    torch_dtype=torch.bfloat16,
    device="cuda",
    model_configs=[
        ModelConfig(model_id="Qwen/Qwen-Image-2.1", origin_file_pattern="transformer/diffusion_pytorch_model*.safetensors"),
        ModelConfig(model_id="Qwen/Qwen-Image-2.1", origin_file_pattern="text_encoder/model*.safetensors"),
        ModelConfig(model_id="Qwen/Qwen-Image-2.1", origin_file_pattern="vae/diffusion_pytorch_model*.safetensors"),
    ],
    processor_config=ModelConfig(model_id="Qwen/Qwen-Image-2.1", origin_file_pattern="processor/"),
)
pipe.load_lora(pipe.dit, ModelConfig(model_id="Trapdaar/KoreanWoman_qwen21", origin_file_pattern="KoreanWoman_qwen21_c1-st6000.safetensors"))

prompt = "a cat"
image = pipe(prompt, seed=0, num_inference_steps=50)
image.save("image.png")
```


Files with SHA256: c744ef075c33511f259297862c3f42dd54038a1473a503275c464d6066a9311e