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DreamBooth is a method for personalizing text-to-image diffusion models by fine-tuning them with a few images of a subject, enabling the model to generate novel photorealistic renditions of that subject in diverse contexts. It uses a unique identifier and a class-specific prior preservation loss to synthesize the subject in new scenes, poses, and lighting conditions while preserving key visual features.
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