metadata

base_model: stabilityai/stable-diffusion-3-medium-diffusers
library_name: diffusers
license: openrail++
tags:
  - text-to-image
  - diffusers-training
  - diffusers
  - sd3
  - sd3-diffusers
  - template:sd-lora
instance_prompt: >-
  a photo of m1nd3xpand3r person wearing a colorful mask with an eye on the
  forehead, in a green park with city buildings in the background
widget:
  - text: >-
      a photo of m1nd3xpand3r person wearing a colorful mask with an eye on the
      forehead, standing in a city park with a unique background
    output:
      url: image_0.png
  - text: >-
      a photo of m1nd3xpand3r person wearing a colorful mask with an eye on the
      forehead, standing in a city park with a unique background
    output:
      url: image_1.png
  - text: >-
      a photo of m1nd3xpand3r person wearing a colorful mask with an eye on the
      forehead, standing in a city park with a unique background
    output:
      url: image_2.png
  - text: >-
      a photo of m1nd3xpand3r person wearing a colorful mask with an eye on the
      forehead, standing in a city park with a unique background
    output:
      url: image_3.png

SD3 DreamBooth LoRA - TheMindExpansionNetwork/m1nd3xpand3r-sd3-lora

Prompt
a photo of m1nd3xpand3r person wearing a colorful mask with an eye on the forehead, standing in a city park with a unique background

Model description

These are TheMindExpansionNetwork/m1nd3xpand3r-sd3-lora DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.

The weights were trained using DreamBooth.

Trigger words

You should use a photo of m1nd3xpand3r person wearing a colorful mask with an eye on the forehead, in a green park with city buildings in the background 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]