Title

By Netvora Tech News

---

Lightricks Unveils Breakthrough AI Video Generation Model for Consumer-Grade Hardware Lightricks, the company behind popular creative apps like Facetune and VideoLeap, has announced the release of its most powerful AI video generation model to date. The LTX Video 13-billion-parameter model (LTXV-13B) generates high-quality AI video up to 30 times faster than comparable models while running on consumer-grade hardware rather than expensive enterprise GPUs. The model introduces "multiscale rendering," a novel technical approach that dramatically increases efficiency by generating video in progressive layers of detail. This enables creators to produce professional-quality AI videos on standard desktop computers and high-end laptops instead of requiring specialized enterprise equipment. "The introduction of our 13B parameter LTX Video model marks a pivotal moment in AI video generation with the ability to generate fast, high-quality videos on consumer GPUs," said Zeev Farbman, co-founder and CEO of Lightricks, in an exclusive interview with VentureBeat. "Our users can now create content with more consistency, better quality, and tighter control." A major challenge for AI video generation has been the enormous computational requirements. Leading models from companies like Runway, Pika, and Luma typically run in the cloud on multiple enterprise-grade GPUs with 80GB or more of VRAM (video memory), making local deployment impractical for most users.

How Lightricks Democratizes AI Video by Solving the GPU Memory Problem

Lightricks' innovative approach addresses this issue by allowing creators to generate high-quality AI videos without the need for expensive enterprise equipment. The company's model can run on consumer-grade hardware, making AI video generation more accessible to a wider range of users.

Inside 'Multiscale Rendering': The Artist-Inspired Technique That Makes AI Video Generation 30X Faster

Lightricks' "multiscale rendering" technique is inspired by the way artists create art. By generating video in progressive layers of detail, the model achieves remarkable speed and efficiency gains. This approach allows creators to produce high-quality AI videos without sacrificing performance or quality.