Remixing of knowledge products has become one of the mainstream innovation models of (OIC) in network innovation communities. It is of great practical significance to explore the influencing factors of remixing knowledge products of network innovation community for better stimulating the kinetic energy of open innovation. Based on innovation diffusion theory, the research propose an analytical model of influencing factors of knowledge product remixing, and the relationship between knowledge product attributes and remixing is verified by collecting data from thingiverse website. The results show that attention degree and user interaction have a positive effect on the remixing of knowledge products, and the relationship between knowledge complexity and remixing innovation is inversely U-shaped. There is no obvious positive effect of continuous innovation on heavy mix innovation.