Generative AI Projects

This repository contains a collection of projects demonstrating generative AI techniques for text and image generation. Each notebook explores different models, ranging from classical probabilistic approaches to modern deep generative models.

📂 Repository Structure

Anime Face Generation using DCGAN Deep Convolutional GAN (DCGAN) for generating anime-style faces.

Text-to-Image Generator using Stable Diffusion Stable Diffusion pipeline for generating high-quality images from text prompts.

Pix2Pix Image-to-Image Translation with cGAN Conditional GAN (cGAN)-based Pix2Pix model for tasks like edge-to-photo translation.

Text Generation with Markov Chains Classical text generation approach using Markov Chains for sequence modeling.

🚀 Features

GAN-based image synthesis

Image-to-image translation with cGANs

Text-to-image generation with diffusion models

Classical text generation with Markov Chains

⚙️ Requirements

Install dependencies with:

pip install -r requirements.txt

📊 Use Cases

Creative content generation

Data augmentation

AI art & design exploration

Learning fundamentals of generative models