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README.md
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Goal: This project focuses on building an advanced text-to-image generation system using the Stable Diffusion model, a state-of-the-art deep learning framework. The goal is to transform natural language text descriptions into visually coherent and high-quality images, unlocking creative possibilities in areas like art generation, design prototyping, and multimedia applications.
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Goal: This project focuses on building an advanced text-to-image generation system using the Stable Diffusion model, a state-of-the-art deep learning framework. The goal is to transform natural language text descriptions into visually coherent and high-quality images, unlocking creative possibilities in areas like art generation, design prototyping, and multimedia applications.
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<p style="font-family:Lucida Sans ;font-size:18px; padding-left: 12px;">Dataset Description: CelebFaces Attributes Dataset (CelebA).</p>
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<p style="font-family: Lucida Sans ;font-size:18px; padding-left: 12px;">The CelebA dataset is a widely-used, large-scale dataset in the field of computer vision, particularly for tasks related to faces. It consists of over 200,000 celebrity face images annotated with a rich set of attributes. The dataset offers diverse visual content with variations in pose, facial expressions, and backgrounds, making it suitable for a range of face-related applications.</p>
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