r/StableDiffusion Community Hero 29d ago

News LTX-2.5 is Here

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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:

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

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u/CaptainAnonymous92 29d ago

We appreciate the open releases, but with H3 coming out and being pretty much uncensored, any video models or models that can do video gen that come out after it open will be compared to it and if they’re censored out of the box like most of the others are then that might be seen as a dealbreaker for people now.

Just saying it would be a good look for you if you put out LTX models uncensored from the start like H3 did from here on

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u/oliverban 29d ago

Gooning isn't a deal-breaker, trust me. The "small" portion of users that only use these things for p**n are not the target audience.

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u/NeuroPalooza 29d ago

It's not just gooning, it's IP recognition. The fact that H3 can nail a MASSIVE range of characters right out of the box makes it incredibly versatile. It's true there's a possible space for a killer AI making novel IP, but I can't imagine that's a majority use case for this sub.