YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

Code for the Paper titled "Perpetual Misogyny: How Gendered Tropes Shape Text-To-Image AI Personalization"

Repository Structure

CIVITAI_VISUALIZATIONS/
β”œβ”€β”€ .virtual_documents/                   # Temporary files from Jupyter
β”œβ”€β”€ data/                                 # Final curated datasets
β”‚   β”œβ”€β”€ subset1/                          # Specific data splits or versions
β”‚   β”œβ”€β”€ subset2/
β”‚   └── ...
β”œβ”€β”€ misc/
β”‚   └── credentials/                      # API keys and sensitive config (excluded from versioning)
β”œβ”€β”€ plots/                                # Output plots and figures used in the paper
β”œβ”€β”€ β”œβ”€β”€ jupyter_notebooks/                          # Main analysis notebooks
β”‚   β”œβ”€β”€ 0_Scraping_image_metadata.ipynb         # Scrapes CivitAI metadata via API
β”‚   β”œβ”€β”€ Section_1_Figure_1_image_grid.ipynb     # Grid of sample images
β”‚   β”œβ”€β”€ Section_3-2-1_Figure_3_histogram.ipynb  # Histogram of upload trends
β”‚   β”œβ”€β”€ Section_3-2-1_Figure_4_Mivolo.ipynb     # Model activity plot (Mivolo-focused)
β”‚   β”œβ”€β”€ Section_3-3-1_Figure_5_tags.ipynb       # Tag frequency and usage visualizations
β”‚   β”œβ”€β”€ Section_3-3-3_download_popular_models.ipynb # Download models for analysis
β”‚   β”œβ”€β”€ Section_3-3-3_Figure_6.ipynb            # Promotional tag usage patterns
β”‚   β”œβ”€β”€ Section_3-3-4_Figure_8a.ipynb           # Ranking of popular models
β”‚   β”œβ”€β”€ Section_3-3-4_Figure_8b.ipynb           # Continuation of model rankings
β”‚   β”œβ”€β”€ Section_3-3-4_Figure_9_Sankey.ipynb     # Sankey diagram: user-model contributions
β”‚   β”œβ”€β”€ Section_3-3-4_LLM_annotation.ipynb      # Annotations using large language models
β”‚   β”œβ”€β”€ Section_3-4_extract_LoRA_metadata.ipynb # LoRA metadata extraction
β”‚   β”œβ”€β”€ SuppM_Figure_12_Danbooru_Taxonomy.ipynb # Danbooru tag taxonomy: visualization
β”‚   β”œβ”€β”€ SuppM_Figure_13_Danbooru_taxonomy.ipynb # Tag grouping and structure
β”‚   └── SuppM_Figure_13.ipynb                   # Supplementary figure generation
β”œβ”€β”€ misc/                                       # Utility scripts and API credentials (excluded)
β”œβ”€β”€ plots/                                      # Output plots and visualizations
β”œβ”€β”€ public/                                     # Optional public-facing files
β”œβ”€β”€ .gitignore
β”œβ”€β”€ .gitmodules
β”œβ”€β”€ README.md                                   # This file
└── requirements.txt                            # Python dependencies

Project Setup

Requirements

This project requires Python 3.8 or higher. Ensure you have it installed before proceeding.

Installation

  1. Clone the Repository

    git clone https://gitlab.uzh.ch/latent-canon/pm-paper.git
    cd pm-paper
    
  2. Create a Virtual Environment
    (Recommended to avoid dependency conflicts)

    python -m venv venv
    source venv/bin/activate  # On macOS/Linux
    venv\Scripts\activate     # On Windows
    
  3. Install Dependencies

    pip install -r requirements.txt
    
  4. Jupyter Notebook Setup (Optional)
    If running Jupyter notebooks, ensure the environment is linked:

    python -m ipykernel install --user --name=venv --display-name "Python (venv)"
    

Notes

  • Ensure you have necessary system dependencies installed (e.g., opencv may require additional system libraries).
  • If you encounter any issues, ensure you're using the correct Python environment (venv activated).
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support