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

1. • 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

3. Install all dependencies:

pip install -r requirements.txt

4. Train the model and see the output images in the '/output' dir

python main.py