Update README.md

README.md

@@ -29,7 +29,7 @@ DeciDiffusion 1.0 is an 820 million parameter text-to-image latent diffusion mod
 
 ## Model Architecture
 
-DeciDiffusion 1.0 is a diffusion-based text-to-image generation model. While it maintains foundational architecture elements from Stable Diffusion, such as the Variational Autoencoder (VAE) and CLIP's pre-trained Text Encoder, DeciDiffusion introduces significant enhancements. The primary innovation is the substitution of U-Net with the Efficient U-Net—a design pioneered by Deci. This novel component streamlines the model by reducing the number of parameters, leading to superior computational efficiency.
+DeciDiffusion 1.0 is a diffusion-based text-to-image generation model. While it maintains foundational architecture elements from Stable Diffusion, such as the Variational Autoencoder (VAE) and CLIP's pre-trained Text Encoder, DeciDiffusion introduces significant enhancements. The primary innovation is the substitution of U-Net with the more efficient U-Net—NAS, a design pioneered by Deci. This novel component streamlines the model by reducing the number of parameters, leading to superior computational efficiency.
 
 
 ## Training Details