---
base_model: stabilityai/stable-diffusion-3-medium-diffusers
library_name: diffusers
license: openrail++
widget:
- text: 1girl, motor vehicle, realistic, car, solo, coat, blurry background, black
    hair, outdoors, looking at viewer, blurry, asian, white shirt, shirt, black eyes,
    forehead mark
  output:
    url: image_0.png
- text: 1girl, motor vehicle, realistic, car, solo, coat, blurry background, black
    hair, outdoors, looking at viewer, blurry, asian, white shirt, shirt, black eyes,
    forehead mark
  output:
    url: image_1.png
- text: 1girl, motor vehicle, realistic, car, solo, coat, blurry background, black
    hair, outdoors, looking at viewer, blurry, asian, white shirt, shirt, black eyes,
    forehead mark
  output:
    url: image_2.png
- text: 1girl, motor vehicle, realistic, car, solo, coat, blurry background, black
    hair, outdoors, looking at viewer, blurry, asian, white shirt, shirt, black eyes,
    forehead mark
  output:
    url: image_3.png
tags:
- text-to-image
- diffusers-training
- diffusers
- sd3
- sd3-diffusers
- template:sd-lora
---

<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->


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

<Gallery />

## Model description

These are ZiyuZhao0428/sd3-lora-1girl-asianface DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.

The weights were trained  using [DreamBooth](https://dreambooth.github.io/).

## Trigger words

You should use None to trigger the image generation.

## Download model

[Download](ZiyuZhao0428/sd3-lora-1girl-asianface/tree/main) 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

```python
# 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]