To solve the problems of long design cycle, great design difficulty and relatively high design cost in the traditional packaging product design, the dual discriminator GAN was applied to the packaging product design. On the basis of BicycleGAN, a local discriminator was added, and the corresponding loss function and objective function were reconstructed. In the experiment, the input object was the image pair of "edge image + original image", and the output object was the image with the top 10 authenticity probability. The experimental results were evaluated from three aspects: diversity, PSNR value and SSIM value. The results showed that the image generated by dual discriminator Gan not only had better diversity, but also improved the image detail quality. Therefore, it was feasible to apply the dual discriminator Gan to the appearance design of packaging products. On one hand, it could provide designers with design inspiration, on the other hand, it could save human and material resources, and improve working efficiency.