metadata

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

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

Prompt
1girl, motor vehicle, realistic, car, solo, coat, blurry background, black hair, outdoors, looking at viewer, blurry, asian, white shirt, shirt, black eyes, forehead mark

Model description

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

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]