Exploring the Intersection of AI Art and Film: A Case Study of Giant

Artificial intelligence (AI) has recently been used as a tool for various visual storytelling, but text-to-image models are a stochastic machine learning process that requires human intervention to assist creation better. As we all know, pre-visualization is an important stage in film production, involving subjective choices by the creators. This paper investigates how AI can assist filmmakers during the pre-production stage by generating mood boards from text. We propose a novel preproduction pipeline and guidelines that leverage text-to-image models to create visual previews of film projects. We also conduct a case study to validate and evaluate our approach's effectiveness. Our case study suggests that following the guidelines we have developed can assist filmmakers in generating mood boards that effectively convey the desired atmosphere of their projects and potentially contribute to enhancing the creative process. Our paper aims to contribute to the field of AI art and the film industry.