Rachel Luxemburg

Learn how to write effective LTX-2.5 video prompts — shot design, multi-shot cuts, Dub-It dialogue, and Video Editing IC-LoRA best practices.

Prompt LTX well and it will give you almost anything you can describe. Feed it a reference frame and it will animate what’s in it.

Before you collect a single clip, you need to decide exactly what you want the LoRA to do at inference. Every later choice you make flows from this one.

The dataset is the most important part of training, full stop. Investing time to create a solid training dataset will result in a much better outcome.

You have a dataset, you know what you want the LoRA to learn, and you’ve picked a training mode.

A training run is where the dataset, captions, and configuration you’ve prepared become an actual LoRA.

This chapter steps off the path. A control LoRA is driven at inference by a reference video.

LTX-2.3 lipsync generates talking video from audio. LipDub redubs existing footage via IC-LoRA. Here's when to use each in production.

Master motion control in AI video generation with IC-LoRA. Learn how to transfer camera movement, scene structure, and human performance from reference videos into LTX-2 workflows.

LTX-2.5 delivers local audio-video generation with image and text workflows, multiscale rendering, and optimized performance.