Lights, Camera, Carbon: Architectural Scaling Laws for Video Generation Energy Consumption
We present a bidirectional framework for estimating the energy consumption of text-to-video (T2V) and text-to-video-audio (T2VA) models from architectural first principles and observable generation parameters such as resolution and duration, requiring no access to weights, model size, or implementation details. Forward, it predicts energy from generation parameters and architectural principles; backward, it recovers architectural scaling behavior from observed inference times, with accuracy serving as a criterion for architectural validity. Building on the established compute-bound nature of video diffusion models, we demonstrate that each model's energy profile obeys theoretically derive...
| Authors | Nidhal Jegham, Boris Gamazaychikov, Sasha Luccioni |
|---|---|
| Primary category | cs.MM |
| Published | 5 July 2026 |
| Last updated at source | 5 July 2026 |
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