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Note: This code is built to support the results of the research paper titled "Text-to-Image Generation using Transformers in GANs" presented at ICASSCT-2024, winning the Best Paper Award.
Conference Presentation

Architecture for Text-to-Image generation

     

Installation steps

    • Fork the repo
    • Clone the repo to your local machine git clone https://github.com/codedmachine111/Image_generation_using_transformers_in_GANs.git
    • Change current directory cd Image_generation_using_transformers_in_GANs
  2. Install latest version of Python and create a virtual environment:
python -m venv venv
./venv/Scripts/activate
  1. Install all dependencies:
pip install -r requirements.txt
  1. Train the model and see the output images in the '/output' dir
python main.py