SD3 DreamBooth LoRA - ZiyuZhao0428/sd3-lora-1girl-asianface-2

Prompt

1girl, beautiful young Asian woman, small forehead mark in the center, black hair tied back, wearing a long pastel pink coat over a white blouse, standing next to a vintage pink car, elegant and confident pose, holding one hand near her face, soft natural lighting, cinematic photography, ultra detailed, realistic portrait

Prompt

1girl, beautiful young Asian woman, small forehead mark in the center, black hair tied back, wearing a long pastel pink coat over a white blouse, standing next to a vintage pink car, elegant and confident pose, holding one hand near her face, soft natural lighting, cinematic photography, ultra detailed, realistic portrait

Prompt

1girl, beautiful young Asian woman, small forehead mark in the center, black hair tied back, wearing a long pastel pink coat over a white blouse, standing next to a vintage pink car, elegant and confident pose, holding one hand near her face, soft natural lighting, cinematic photography, ultra detailed, realistic portrait

Prompt

1girl, beautiful young Asian woman, small forehead mark in the center, black hair tied back, wearing a long pastel pink coat over a white blouse, standing next to a vintage pink car, elegant and confident pose, holding one hand near her face, soft natural lighting, cinematic photography, ultra detailed, realistic portrait

Model description

These are ZiyuZhao0428/sd3-lora-1girl-asianface-2 DreamBooth weights for stabilityai/stable-diffusion-3.5-large.

The weights were trained using DreamBooth.

Trigger words

You should use None to trigger the image generation.

Download model

Download them in the Files & versions tab.

License

Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE).

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]