I2VEdit is an innovative video editing technology that extends the editing of a single frame to the entire video through a pre-trained image-to-video model. This technology can adaptively maintain the visual and motion integrity of the source video and effectively handle global editing, local editing, and moderate shape changes, which existing methods cannot achieve. The core of I2VEdit includes two main processes: rough motion extraction and appearance refinement, which are precisely adjusted through coarse-grained attention matching. In addition, a skip interval strategy is introduced to mitigate the quality degradation in the automatic regression generation process of multiple video segments. Experimental results show that I2VEdit's superior performance in fine-grained video editing demonstrates its ability to produce high-quality, temporally consistent output.