Why Diffusion Transformers (DiTs) Are Replacing U-Nets in Generative AI
中文摘要
扩散变换器 (DiTs) 正在取代 U-Nets 成为生成式 AI 的主流，因其更强的扩展性和效率，正驱动着 Sora 等下一代视觉模型。
English Summary
Diffusion Transformers (DiTs) are replacing U-Nets as the standard generative AI architecture, offering superior scalability and efficiency for next-generation models like Sora and Stable Diffusion 3.
Original Excerpt
If you’ve kept up with visual Generative AI over the last few years, you probably remember when Stable Diffusion v1.5 or DALL-E 2 blew… Continue reading on Medium »