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 Video generation category. It focuses on running high-quality open-source video generation models locally with reduced memory requirements. LTX is an open-source project aimed at developers. The project is open source (Open Source). The product ships for the web and the command line, and it can be self-hosted.
Vantage With AI builds and maintains LTX, and the product 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. Among its 3 catalogued features are image-to-Video, text-to-Video, and Diffusion Pipeline. It exposes integrations via a public API.
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