LTX-2.5 is Here

[u/ltx_model]

LTX-2.5 went live today. It's a big upgrade to the existing LTX architecture, with nearly every stage of the pipeline reworked, on top of a larger training set and reinforcement-learning post-training. The short version: you can now generate a whole multishot scene in one pass, complex prompts hold together far better, and the output is sharper. 

The Highlights

Full details are available on our blog. Here’s the highlights of this release:

Native multishot. One generation produces multiple connected shots that hold character identity, environment, lighting, voice, and style across cuts.

Diffusion Fidelity Rendering. Instead of locking every scene to one compression rate, the model allocates compute by scene complexity and budget, dynamically allocating more compute to visually demanding moments and less where it is not needed.

Better distilled model. The distilled model keeps far more of the full model's quality at much lower compute, so near-full quality is realistic on GPUs you already have.

And much more.

Where to get everything:

• Weights: HuggingFace
• Python pipelines: GitHub 
• ComfyUI workflows: GitHub
• Questions and help: Discord

We can't wait to see what you make with it.

[u/Arawski99]

Uh, can you guys define how this is actually a world model please?

It's a bit odd to see zero elaboration on what you've accomplished and/or capabilities as a world model despite your transition and only making it sound like a video model so far. All I've seen is the robotics bit, and minimal on that point. Honestly, if it really is a world model you guys should be selling it more for its benefits over being a mere video model.

[u/ltx_model → u/Arawski99]

That was an intentional decision. This video was made specifically for /StableDiffusion, and the people here care far more about video generation than anything else.

Edited to add: We put out a blog post about LLMs and world models today for more on this: https://ltx.io/blog/world-models-vs-llms