Text-to-Image: Diffusion, Text Conditioning, Guidance, Latent Space
Read OriginalThis technical article provides a detailed survey of the key concepts powering recent text-to-image AI models such as DALL-E 2, Imagen, and Stable Diffusion. It breaks down and explains the fundamental mechanisms of diffusion models, text conditioning for prompts, classifier guidance for image alignment, and the use of latent space for efficiency. The content is based on research papers and is aimed at understanding the technical foundations of this rapidly advancing field in deep learning.
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