grammar

Signed-off-by: Can-Zhao <[email protected]>

Author: Can-Zhao

generation/maisi/README.md

@@ -76,7 +76,7 @@ We retrained several state-of-the-art diffusion model-based methods using our da
 
 **Table 3:** Inference Time Cost and GPU Memory Usage. `DM Time` refers to the time required for diffusion model inference. `VAE Time` refers to the time required for VAE decoder inference. The total inference time is the sum of `DM Time` and `VAE Time`. The experiment was conducted on an A100 80G GPU.
 
-During inference, the peak GPU memory usage occurs during the autoencoder's decoding of latent features.  
+During inference, the peak GPU memory usage occurs during the VAE's decoding of latent features.  
 To reduce GPU memory usage, we can either increase `autoencoder_tp_num_splits` or reduce `autoencoder_sliding_window_infer_size`.  
 Increasing `autoencoder_tp_num_splits` has a smaller impact on the generated image quality, while reducing `autoencoder_sliding_window_infer_size` may introduce stitching artifacts and has a larger impact on the generated image quality.