A generative AI vehicle action study exploring speed, motion and cinematic energy across a range of driving scenarios.

This project brings together a series of high-energy automotive moments - drifting cars, rally action, off-road movement, racing shots and monster trucks - with the aim of exploring how generative AI can handle vehicles as fast, dynamic subjects.

Rather than focusing on a single hero shot, the project looks at a wider range of motion challenges: different types of vehicles, different environments, camera movement, dust, weight, traction and the interaction between the vehicle and the surrounding space.

The main creative interest here was not only the cars themselves, but the sense of momentum around them - how the camera follows the action, how the environment reacts, and how much physical energy and cinematic intensity can be built through generated imagery and motion.

Tools used:
LTX 2.3 - video generation
ChatGPT Image 2.0 - image generation
ACE Step 1.5 XL - music generation

This project is part of an ongoing exploration of generative AI for automotive and action-focused visual work, with a particular interest in movement, rhythm, speed and screen presence.