ryza atelier ryza

Introduction

This document provides details on the "ryza-atelier-ryza" model by alea31415, which is designed to generate images based on a prompt of "rizaDB anime girl." The model is accessible on Hugging Face and trained using the creativeML OpenRAIL-M license.

Architecture

The model architecture leverages the Dreambooth repository by JoePenna, tailored for stable diffusion to create high-quality anime-style images. It utilizes a combination of concept and custom regularization images for training.

Training

The model was trained with the following specifications:

• Utilized JoePenna's Dreambooth repository.
• Dataset included 54 concept images along with several custom regularization images.
• Trained over 4500 steps using the default learning rate.

Guide: Running Locally

To run this model locally, follow these basic steps:

1. Setup Environment: Ensure you have Python and Git installed.
2. Clone Repository: Use git clone to download the JoePenna Dreambooth repository.
3. Install Dependencies: Navigate to the repository directory and install required packages using pip install -r requirements.txt.
4. Download Model: Obtain the model files from Hugging Face and place them in the designated directory.
5. Run Inference: Execute the script to generate images based on your prompt.

For enhanced performance, consider using cloud GPU services such as AWS, GCP, or Azure to speed up the process.

License

The "ryza-atelier-ryza" model is licensed under the CreativeML OpenRAIL-M, which allows for open and collaborative use with certain restrictions and responsibilities.