LTX-2.3-GGUF provides quantized GGUF weights for the LTX-Video (Lightricks) image-to-video and text-to-video diffusion model. It integrates with the Diffusers library and supports local inference on GPUs. The model can generate short video clips from images or text prompts.
LTX sits in PulseGate's Image to video category. It focuses on running high-quality open-source video generation models locally with reduced memory requirements. It is built as an open-source project for developers. The project is open source (Open Source). It ships for the web and the command line, and it can be self-hosted.
It is developed by Vantage With AI, and it first shipped in 2026. The project is developed in the open on GitHub with 8.3k stars and 12 commits in the last 90 days. Key capabilities include image-to-Video, text-to-Video, and Diffusion Pipeline. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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