The recent development of LGCC represents a notable advancement in text-guided image editing technology by enhancing flow matching techniques. LGCC specifically addresses the limitations found in previous models such as BAGEL, improving both detail preservation and content consistency in edited images. Central to its approach is the use of local Gaussian coupling, which contributes to more precise and coherent image modifications. These improvements suggest that LGCC could serve as a valuable tool for creative professionals seeking higher-quality image editing solutions. While the claim that LGCC is a promising tool remains unverified, the technical enhancements it introduces mark a significant step forward in the field. Overall, LGCC's integration of local Gaussian coupling and improved flow matching techniques positions it as an important contribution to AI-driven image editing.