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The motif scaffolding problem, crucial in drug and enzyme design, involves creating a scaffold to support one or more specified motifs. Existing methods employ the paradigm of inpainting, thereby limiting their applicability to scenarios where only a single motif is present or the positions between multiple motifs are known. However, in many significant scenarios, the positions between motifs are unknown, leaving the multi-motif scaffolding problem open. To tackle this challenge, we introduce a protein diffusion model called MoDiff. During the diffusion process, MoDiff implicitly assigns motifs to the protein backbone, thereby achieving the automatic design of relative positions among motifs. Our experiments demonstrate that MoDiff can: 1) solve the multi-motif scaffolding problem even when the positions between motifs are unknown, and 2) generate diverse scaffolds based on multiple given motifs. This indicates that MoDiff is a potential general solution to the multi-motif scaffolding problem.