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LTX 2.5

0

Updated: Aug 14, 2026

base model

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2 variants available

Type
Checkpoint Trained
Stats

568

0

Reviews
Published

Aug 11, 2026

Base Model

LTXV 2.5

Hash
AutoV2
792A2BAD50
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Followers - 17303

17.3K

Downloads - 1370751

1.4M

Generations - 9877318

9.9M

LTX Video 2.5 and its derivatives, including LoRAs and fine-tunes, are licensed by Lightricks Ltd. under the LTX-2.x Community License Agreement and must be redistributed under that same agreement, with a copy included. Use is subject to the use restrictions in its Attachment A. Entities with annual revenues of at least $10,000,000 must obtain a paid commercial license from Lightricks before any commercial use.

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LTX-2.5 is an open world model with open weights, built for local execution and fine-tuning. Its established use is generating synchronized, high-fidelity video and audio from text, image, and video inputs; applicability to emerging domains such as robotics and physical AI is developing.

Full control and customization — self-host on your own infrastructure. No per-generation billing, no per-seat lock-in, no forced API dependency. Revenue is measured across the whole entity, including subsidiaries and affiliates under common control. The full, binding terms live in LICENSE.

What's new in LTX-2.5

  • Native multishot generation — generate connected scenes in a single pass: multiple shots that hold character identity, environment, lighting, voice, and visual style across cuts (previous versions produced a single continuous shot).

  • Diffusion fidelity rendering — Instead of locking every scene to one compression rate, our model dynamically allocates compute by scene complexity and budget, rendering flawless detail where it matters, efficient everywhere else.

  • New diffusion video decoder — replaces the VAE reconstruction stage; sharper faces, textures, and on-screen text, better motion, and fewer artifacts in demanding scenes.

  • Custom Gemma 4 12B text encoder — holds complex prompts together (multiple characters, camera moves, lighting, actions) instead of dropping details across a longer sequence.

  • Prompt enhancer — expands a short prompt into richer cinematic instructions at minimal extra compute.

  • Duration predictor (optional) — an opt-in node predicts a clip's length from the prompt and sets the frame count for you, instead of relying on a fixed-duration parameter.

  • Substantially improved distilled model — retains much more of the full model's visual quality, prompt adherence, and motion consistency in a smaller, faster checkpoint.