The AI technology has been insistently integrated into diverse fields to assist human activities in the modern world. Owing to its excellent job, we observe the benefits of applying this technology to dentistry. In this paper, we present an AI-based approach for dental prostheses fabrication to reduce manual effort associated with the process, particularly in crowns design. Technically, we propose a Pix2Pix model to automatically generate crowns image for damaged teeth, instead of relying on handcrafted drawing. Pix2Pix is remarkable for image-to-image translation applications whose model structure is based on a conditional GAN. Our proposed framework produced satisfactory results, both qualitatively and quantitatively, despite having small teeth image datasets, demonstrating 0.0012, 0.9689, and 34.91 for MSE, SSIM, and PSNR, respectively.