Just an AI song generated using Suno

After researching and testing LTX 2.3 l wanted to share my findings and see if the community agrees:

Here is the hierarchy I'm seeing based on stability, motion, and structural consistency:

🏆 Tier 1: Video-to-Video (V2V) — The King

If you want absolute control over camera choreography, physical pacing, and complex human action, V2V is easily the best way to use 2.3. Using Depth or Pose conditioning modes locks down the physical mass and architecture of a scene perfectly, making character replacements or complex environmental re-texturing incredibly stable.

🥈 Tier 2: Detailed Text-to-Video (T2V) — The Reliable Standard

Thanks to the upgraded text connector, writing hyper-detailed, paragraph-length prompts (cinematic framing, lighting, exact materials like concrete/obsidian) yields gorgeous, organic results. The model actually choreographs the scene accurately, though you give up the absolute movement tracking you get with V2V.

🥉 Tier 3: Image-to-Video (I2V) — The Bottleneck

A simple I2V prompt feels like the worst approach right now. The model gets trapped in an architectural conflict—trying to perfectly preserve a pristine starting frame while simultaneously trying to invent motion out of thin air. It almost always results in a static "Ken Burns" pan or immediate visual melting/degradation after a few frames.

Based on what I found ltx 2.3 works best on cuda but people are more and more using alternative hardware for ai like Mac studio or AMD Ryzen. I wonder which hardware work best for ai video generation using ltx 2.3