Xinchi (Chloe) Liu

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Pursuing to excel in algorithmic roles, esp in LMMs application.

2024 Fall students for MS in Computer Science at University of Wisconsin - Madison.

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Enhanced Fashion Design with Stable Diffusion

Introduction

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This project utilizes Stable Diffusion to innovate fashion design and presentation. Key features include:

Achievement

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Technology used

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Stable Diffusion: Employs this state-of-the-art generative AI model to create and modify images, enabling rapid pattern generation, outfit changes, recoloring styles and fabrics, and background alterations , as well as artificially aging models to diversify the representation in fashion imagery.

LoRA Training: Employs Latent Optimizer for LoRA to fine-tune the AI model, enhancing its ability to generate specific patterns and styles effectively.

Prompt Structuring: Utilizes positive and negative prompt engineering to guide the AI towards producing more desirable and accurate outcomes, structures prompts systematically to ensure consistency and relevancy in the AI-generated outputs, improving the quality of image modifications.

Automated Design Tools: Integrates AI tools to automate the redesign process of trendy garments, enhancing creativity while adhering to current fashion trends.