We qualitatively examine the accuracy and fideltiy between two diffusion-based image generation systems, namely DALL-E 2 and Luna, which have massive differences in training datasets, algorithmic approaches, prompt resolvement, and output upscaling. In our research we conclude that DALL-E 2 significantly edges Luna in both alignment and fidelity comparisons

翻译：我们从质量上检查两个基于传播的图像生成系统,即DALL-E 2和Luna之间的准确性和忠诚性,这两个系统在培训数据集、算法方法、迅速确定和产出升级方面差异巨大。 在我们的研究中,我们得出结论,DALL-E 2在对齐和对称性比较两方面都显著偏向Luna。