Recently, a paper titled "StreamMultiDiffusion" has introduced a novel real-time, interactive text-to-image generation system. This system supports local smudging and prompt-based image creation, and it introduces a multi-prompt stream batch processing architecture to achieve faster panoramic image generation speeds. The authors discuss key technologies such as Latent Pre-Averaging and Mask-Centering Bootstrapping. Additionally, a new concept called Semantic Palette is proposed, allowing users to generate high-quality images in real-time. Experimental results show that StreamMultiDiffusion has significantly improved both speed and image quality, demonstrating its great potential and value.