Summary
AI Search walks through the installation and use of LTX 2.5, the latest release from Lightricks and described as the fastest open-source video generation model currently available for local deployment. The video covers what’s new versus LTX 2.3: diffusion fidelity rendering, which automatically allocates more compute to complex or high-motion scene regions and less to simpler areas; multi-shot video generation that maintains character and scene consistency across multiple camera cuts in a single generation; and support for existing LTX 2 LoRAs from the community.
The tutorial uses ComfyUI as the platform, walking through updating to the latest version, selecting and downloading the appropriate model variant — the distilled int8 version at 22GB is recommended for most users, with an FP4 option at 19GB for compatible hardware — and configuring the text-to-video and image-to-video workflows. LTX 2.5’s two-pass architecture is explained: a fast low-resolution first pass followed by a spatial upscaler, which is what enables generation times around 20 seconds on consumer hardware. The minimum VRAM requirement is 16GB, with 12GB potentially workable at reduced context.
Direct comparisons to Minimax H3 are referenced (covered in a separate video), with LTX 2.5 reportedly generating more than twice as fast. The video demonstrates both text-to-video (a cinematic prompt) and image-to-video (animating a cat rock band image) use cases, along with a first-frame/last-frame interpolation workflow for creators who want explicit control over the start and end states of a generated clip.
📺 Source: AI Search · Published August 18, 2026
🏷️ Format: Tutorial Demo
