S D X L Ly C O R I S Archive

Introduction

The SDXLLyCORISArchive is a repository hosted by the LMF Research Society on Hugging Face, focused on text-to-image models utilizing technologies like LoRA, safetensors, and stable-diffusion-xl. The repository is subject to storage limitations imposed by Hugging Face, necessitating community engagement to increase storage capacity.

Architecture

The repository leverages advanced text-to-image technologies such as:

• LoRA: A method for efficient model fine-tuning.
• Safetensors: A format ensuring safe and efficient tensor storage.
• Stable-Diffusion-xl: An evolution of the stable-diffusion architecture offering enhanced image generation capabilities.

Training

Models within the SDXLLyCORISArchive are trained on specific base architectures, including Animagine and PonyXL. The training process is fine-tuned using LoRA at a recommended strength of 0.4 for optimal results.

Guide: Running Locally

To run models from the SDXLLyCORISArchive locally, follow these steps:

1. Environment Setup: Ensure Python and necessary libraries (such as PyTorch) are installed on your machine.
2. Repository Cloning: Clone the desired models from the Hugging Face repository.
3. Model Loading: Use a framework like Hugging Face's Transformers to load and run the models.
4. Execution: Execute the model scripts to generate images from text inputs.

For enhanced performance, consider using cloud GPUs from providers like AWS, Google Cloud, or Azure.

License

The models and data in this repository are released under the CreativeML OpenRAIL-M license, which allows for open and responsible use of machine learning models.