Aiming at the problem that existing style transfer models cannot meet the requirements of texture retention and color transfer for color matching for printed pattern, a color matching model for printed pattern based on PhotoWCT2 and multiple attention mechanism is designed; The model firstly introduced a Multi-scale Channel and Local Attention Module into the PhotoWCT2 model to enhances the ability to extract complex texture features of printed pattern; Secondly, a Frequency-domain Channel Attention Module is introduced to strengthen the color information in the frequency domain and improves the model's ability to transfer color styles; Finally, the contrastive learning-based content loss function is used to enhance the model's ability to model the feature space and improve the model's ability to reconstruct the complex texture features of printed pattern. Experimental results show that compared with the original model, the designed model is better in three objective metrics: SSIM, PSNR, Gram Loss; In addition, the designed model generates printed pattern with better texture retention and color style transfer compared with other models.