nanachi made in abyss

Introduction

The "Nanachi Made in Abyss" model, developed by alea31415, is designed to generate images based on the prompt "nanachiDB cute furry girl". It is hosted on Hugging Face and utilizes a specific training dataset to yield creative outputs.

Architecture

This model is built on top of a pre-existing model, yiffy-e15, and uses the Dreambooth repository by JoePenna for training. It leverages Stable Diffusion techniques to produce images aligned with the given prompt.

Training

The training process involved using 42 concept images augmented with custom regularization images. The model was trained using a default learning rate over 5000 steps. The training was conducted using resources from the JoePenna Dreambooth repository, which is designed for Stable Diffusion implementations.

Guide: Running Locally

1. Install Prerequisites: Ensure you have Python and Git installed. Install the required libraries using a package manager like pip.

   pip install torch torchvision transformers
   

2. Clone the Repository: Download the model repository using Git.

   git clone https://github.com/JoePenna/Dreambooth-Stable-Diffusion.git
   cd Dreambooth-Stable-Diffusion
   

3. Download the Model Weights: Acquire the model weights from the Hugging Face model page and place them in the appropriate directory.

4. Run the Model: Use a script or command line to execute the model and generate images based on your prompts.

   python generate_images.py --prompt "nanachiDB cute furry girl"
   

5. Consider Cloud GPUs: For higher efficiency and faster processing, consider using cloud GPU services like AWS, Google Cloud, or Azure.

License

The "Nanachi Made in Abyss" model is licensed under the CreativeML OpenRAIL-M license, which governs the usage and distribution of the model and its outputs.