Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.
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Updated
May 28, 2026 - Python
Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.
An open-source desktop app for generating videos with LTX models
A Collection of Google Colab Notebooks for various projects
Native macOS app for AI video generation using LTX-Video model, optimized for Apple Silicon
Optimized for 8Gb inference LTX-2 audio–video generative model. + Web UI. Model created by:
Production workspace for AI music videos — organize shots, reference images, prompts & audio, export to Wan2GP, import results back. Built for LTX-2.
LTX Desktop w/ Apple MPS Local Inference support 🎉
Demonstration for the Lightricks LTX-2 Distilled model, enhanced with specialized LoRA adapters for cinematic camera movements (dolly left/right/in/out, jib up/down, static). Generates animated videos from text prompts or input images, with optional prompt enhancement using Gemma-3-12b.
The Making Commercials with LTX AI Video Guide automates the installation of the software needed for a local private AI video model setup using LTX-2 for making video commercials, marketing promos and more.
LTX-2.3 is an open-source generative video architecture based on the Diffusion Transformer (DiT). The model delivers commercial-grade generation quality (on par with Google Veo 3) but without the strict limitations of closed ecosystems. The project supports both fully autonomous local inference and hybrid cloud processing.
Single-purpose HTTP server for video generation via mlx-video (Apple Silicon / MLX). LTX-2 distilled, single-flight queue, sync + async endpoints.
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