Filmmaking is often demanding in both financial and human resources, posing challenges for smallscale creators—students or independent filmmakers. However, artificial intelligence (AI) now helps streamline procedures and improves efficiency. This study aims to assess the effectiveness of AI assistance in tackling the hurdle of casting multiple actors, which is often financially demanding. In doing so, this study focuses on evaluating AI-assisted face-swapping and its as a cost-effective alternative, by comparing two AI platforms, ComfyUI and Akool. Combined with AI’s ability to generate videos and digital humans, this study evaluates each platform’s accessibility, workflow, performance, and output quality. The findings reveal that Akool provides higher visual consistency and user-friendliness, while ComfyUI offers extensive customization at no cost, but requires more technical skill and results in lower clarity. Both struggle in replicating complex expressions and facial obscurity, though they may be mitigated through narrative design. By highlighting the strengths, weaknesses, and ethical implications of each platform, this study demonstrates how AI-assisted face-swapping can enhance narrative possibilities in low-budget filmmaking.
목차
Abstract 1. INTRODUCTION 2. THEORY 3. EXPERIMENTS 3.1 Working with ComfyUI 3.2 Working with Akool 4. RESULTS AND DISCUSSION 4.1 Facial Feature Replication and Mapping Comparison 4.2 Facial Movement Replication 4.3 Effects of Facial Obstruction 4.4 Potential for Integration in Low-Budget Filmmaking 4.5 Ethical considerations and creative responsibility 4.6 Limitations of this study and future research recommendations 5. CONCLUSION ACKNOWLEDGMENT REFERENCES