Diffusion distillation compresses the knowledge of a large, multi-step diffusion model into a smaller, faster student model. By mimicking the teacher’s denoising process, it generates high-quality images in a single step. This accelerates inference, reduces computational costs, and makes advanced generative AI accessible for real-time applications on consumer hardware, benefiting researchers, developers, and creative professionals alike.
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