BrushNet is an image inpainting model that uses a decomposed dual-branch diffusion architecture to separate content masks and latent features. It serves as a plug-and-play module that can be integrated with existing pretrained text-to-image models to enable controllable image editing. The approach decomposes the inpainting process into parallel branches for mask-guided feature extraction and cross-attention-based text conditioning.