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 Open-Sora Plan shows excellent performance in video generation.
 
 ### 🔥 High performance CausalVideoVAE, but with fewer training cost
-- High compression ratio with excellent performance, capable of **compressing videos by 256 times (4×8×8)**. Causal convolution supports simultaneous inference of images and videos.
+- High compression ratio with excellent performance, capable of **compressing videos by 256 times (4×8×8)**. Causal convolution supports simultaneous inference of images and videos but only need **1 node to train**.
 
 ### 🚀 Video Diffusion Model based on 3D attention, joint learning of spatiotemporal features.
 - With a **3D full attention architecture** instead of a 2+1D model, 3D attention can better capture joint spatial and temporal features.