AI Video Glossary

ControlNet adds structural control to AI video generation using depth maps, pose skeletons, and other spatial signals. How it works and how LTX-2 uses it.

A diffusion model is the architecture powering modern AI video generation. This guide covers how denoising works, key model types, and LTX-2's approach.

Flow matching trains generative models to follow straight paths from noise to data, enabling fast, efficient inference. How it works and how LTX-2 uses it.

LoRA fine-tunes large AI models for specific styles or brand IP without touching the base weights. How it works, its variants, and how LTX-2 supports it.

Multimodal AI models process and generate across text, images, audio, and video in a single architecture. What that means and how LTX-2 implements it.

Quantization reduces AI model memory and inference cost by lowering the numerical precision of weights. How it works, its key types, and how LTX-2 uses it.