My personal tests for training stable diffusion models

Introduction

In this repository I will experiment with different pipelines and workflows for stable diffusion primeraly using the hugging face Diffusors library. Furthermore I will try to train dreambooths and LoRas.

Hardware

• > 16 GB RAM
• GPU with > 8 GB VRAM

Software

• Python 3.11

Getting Started

1. Clone the repository

git clone https://github.com/MrWhatZitToYaa/Diffusors.git
cd Diffusors

2. Install the package

Optional (recommended): Create a virtual environment:

venv:

python3 -m venv diffVenv
source diffVenv/bin/activate

Then, install the package via

pip install -e .

Development

Setup

To set up the development environment, run the following commands:

pip install -e .[dev]

Citation

If you use my repository for your research, please cite it using the following

@software{testingStableDiffusion_Tatsch,
    author = {Nikita Tatsch},
    title = {Tests with Stable Diffusion},
    month = jan,
    year = 2024,
    publisher = {GitHub},
    version = {1.0.0},
    url = {https://github.com/MrWhatZitToYaa/Diffusors.git}
}