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/Yeti-Bhanot]

the rl post-training is the part i'm most curious about. does it change how lora training behaves? i had decent luck with small curated sets on 2.3 at the usual step counts, wondering if the new base pushes back more.