LTX-2.5 Distilled GGUF is a collection of quantized GGUF transformer weights for local LTX-2.5 generation workflows. It supports text-to-video, image-to-video, video-to-video, and audio-to-video use cases, with files optimized for constrained VRAM and ComfyUI workflows.
LTX 2.5 Distilled is a Video generation project. It focuses on running LTX-2.5 video and audio generation locally on hardware with limited memory. LTX 2.5 Distilled is an open-source project aimed at developers and AI creators running local generative video workflows. The project is open source (Open Source). It runs on the web and the command line, and it can be self-hosted.
Abiray builds and maintains LTX 2.5 Distilled, and it first shipped in 2026. The project is developed in the open on GitHub with 9.3k stars and 13 commits in the last 90 days. Among its 8 catalogued features are GGUF Quantizations, text-to-Video, and image-to-Video.
Summary written by a language model from the project’s public pages.
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