Abstract
GPT-4, which is a multimodal large-scale language model, was released on March 14, 2023. GPT-4 is equipped
with Transformer, a machine learning model for natural language processing, which trains a large neural network through
unsupervised learning, followed by reinforcement learning from human feedback (RLHF) based on human feedback. Although
GPT-4 is one of the research achievements in the field of natural language processing (NLP), it is a technology that can be
applied not only to natural language generation but also to image generation. However, specifications for GPT-4 have not been
made public, therefore it is difficult to use for research purposes. In this study, we first generated an image database by adjusting
parameters using Stable Diffusion, which is a deep learning model that is also used for image generation based on text input
and images. And then, we carried out experiments to evaluate the image quality from the generated database, and discussed
the quality assessment of the image generation model.