VVAI introduces an innovative way to transform images using Generative AI , which is different from the usual way of picturing clothes. It can generate different visual ideas just from simple text descriptions.

Access the notebook here --> https://colab.research.google.com/drive/1wSRj-I8-LCflmcspWDGt-Zf6X55YnDWT?usp=sharing

• CLIP/: Contains resources and code related to OpenAI's CLIP model, which connects vision and language understanding.
• stylegan3/: Includes materials pertaining to NVIDIA's StyleGAN3 model, known for high-quality image synthesis.
• VVAI_AS_Portfolio.ipynb: A Jupyter Notebook demonstrating the integration and application of CLIP and StyleGAN3 for image generation and editing.
• custom_clip.py: Custom implementations and modifications to the standard CLIP model to suit project-specific needs.
• main.py: The main script that orchestrates the workflow of the project, integrating various components.
• necessary_functions.py: A collection of utility functions that support the core functionalities of the project.
• stylegan.py: Scripts and functions tailored for working with the StyleGAN3 model.
• requirements_final.txt: A list of Python dependencies required to run the project.