IDM-VTON is a novel diffusion model for image-based virtual try-on tasks, which generates highly realistic and detailed virtual try-on images by combining the advanced semantics and low-level features of visual encoders and UNet networks. The technology enhances the authenticity of generated images through detailed text prompts and further improves fidelity and realism in real-world scenes with customized methods.