paruparu_illustrious

Introduction

This document provides information about the paruparu_illustrious model, outlining its key features and configurations. This model has been improved to version 4 with significant contributions from the community, particularly in noise reduction.

Architecture

The paruparu_illustrious model is part of the illustrious series, designed to deliver high-quality outputs. Users typically apply quality tags like masterpiece and best quality to enhance results.

Training

The model has undergone multiple iterations, with versions 1 and 2 not requiring negative tags, while versions 3, 4, and 5 benefit from specific negative tags to reduce noise. Recommended negative tags include: (patterned background, dappled background, blurry background, light particles:1.2).

Guide: Running Locally

1. Setup Environment: Ensure you have a compatible environment set up with Python and necessary libraries like PyTorch and Transformers.
2. Download the Model: Clone the model repository and download the necessary files.
3. Configure Settings: Use the standard settings—sampling step 25 and cfg scale 5.5.
4. Run the Model: Execute the scripts to generate outputs using your preferred configurations.
5. Cloud GPUs: Consider using cloud platforms like AWS, GCP, or Azure for access to powerful GPUs to enhance performance.

License

The model is shared under a community-driven license, allowing for contributions and modifications while maintaining proper attribution to the original creators.