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Diffusion Models: Advantages and Training Process
This chapter explores the advantages of diffusion models over GANs for image generation and discusses the training process of diffusion models. It highlights the controllability and flexibility of diffusion models compared to GANs, while also mentioning their slower inference latency. The chapter delves into the denoising process and the use of text embeddings to generate images, as well as the challenges of object generation in text-to-image diffusion models.