aesthetic-shadow

Introduction

Aesthetic Shadow is a 1.1b parameters visual transformer designed to evaluate the quality of anime images. It accepts high-resolution 1024x1024 images as input and provides a prediction score that quantifies the aesthetic appeal of the artwork. Leveraging cutting-edge deep learning techniques, this model excels at discerning fine details, proportions, and overall visual coherence in anime illustrations. Base url https://huggingface.co/shadowlilac/aesthetic-shadow

Installation

Installing requires Python 3.10. You can download Python here https://www.python.org/. Then follow these steps:

• Clone the repository git clone https://github.com/gluttony-10/aesthetic-shadow.git
• Navigate into the cloned directory cd aesthetic-shadow
• Set up a virtual environment python -m venv venv
• Activate the new venv:
  • Windows: venv\scripts\activate
  • Unix based systems: source venv/bin/activate
• Install the requirements pip install -r requirements.txt

Updating

• Pull changes git pull
• Activate the venv venv\scripts\activate
• Re-Install the requirements pip install -r requirements.txt

Usage

• Activate the venv venv\scripts\activate
• For single image python inference.py --image text/test.jpg
• For batch python batch.py --path test --output outputs --threshold 0.5 --batch 8