Update README.md

Author: JacquieK1k

README.md

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-# UnderGradThesis
+## Abstract
+This thesis explores the potential and limitations of using AI-driven techniques, 
+specifically Stable Diffusion and LoRA, in character design and rendering. The study focuses 
+on creating a unique 3D character with distinct design elements, training an AI model to 
+understand and reproduce the character accurately in response to various text prompts, 
+emotional expressions, and artistic styles. The research methodology involves a 
+combination of modeling and rigging in Blender, exporting the character to Unity, 
+generating training data, training the AI model using LoRA with the Protogen v2.2 base 
+model, and testing the model's performance in Stable Diffusion.The findings demonstrate 
+the AI model's ability to learn the character's design and generate consistent and accurate 
+renders in response to diverse prompts. However, the study also reveals some challenges 
+and limitations, such as the need for careful selection of training data, optimization of 
+model parameters, and addressing potential overfitting or generalization issues. 
+Additionally, the AI's adherence to certain artistic choices, such as the absence of a nose or 
+specific skin tone, raises questions about its capabilities in capturing unique design choices. 
+Overall, this thesis offers valuable insights into the applications and challenges of AI-driven 
+character design and rendering in the digital art landscape.
+
+[Final Thesis PDF and Trained Models Google Folder](https://drive.google.com/drive/folders/1jg1gdkoQSu2ShGdcZuZCbAezJLhcFXVa?usp=sharing)