The initial versions of text-to-video animation generative AI were characterized by grainy and blurry outputs. These early models struggled to capture fine details and smooth transitions, resulting in less realistic animations. However, recent advancements have revolutionized this field, yielding sharper, more coherent videos that closely align with textual prompts. The integration of physics-based understanding and improved training data has played a pivotal role in elevating the quality of generated content
