MagicClothing is a novel network architecture based on Latent Diffusion Models (LDM) specifically designed for clothing-driven image synthesis tasks. It can generate customized character images wearing specific clothing based on text prompts while ensuring the preservation of clothing details and faithful representation of text prompts. The system achieves high image controllability through clothing feature extraction and self-attention fusion techniques, and can be combined with other technologies like ControlNet and IP-Adapter to enhance character diversity and controllability. Additionally, a matching point LPIPS (MP-LPIPS) evaluation metric has been developed to assess the consistency between the generated images and the original clothing.