What is LTX Desktop?
LTX Desktop is a local AI video generator with an integrated non-linear video editor. It runs on-device powered by the LTX-2.3 diffusion transformer model. The tool generates video from text, images, or audio with no per-generation fees on Windows. It targets creators, developers, and organizations that need AI video generation without sending data to external servers.
Features & Benefits
- Text-to-video generation – Generate video clips directly from text prompts using the LTX-2.3 model engine.
- Image-to-video generation – Convert static images into video output with motion applied by the model.
- Audio-to-video generation – Generate video synchronized to an audio input from a single model.
- 1080p output with portrait support – Render video at up to 1080p resolution, including native 9:16 portrait format.
- Synchronized audio generation – Produce video and audio together from one model without separate audio processing.
- Non-linear video editor – Edit generated footage in a full timeline-based editor built into the application.
- Local inference (Windows only) – Run generation on-device using an NVIDIA GPU with 32GB+ VRAM recommended. No internet required after setup. Requires approximately 160GB free disk space.
- API mode – Switch to cloud-based LTX API as the backend via an in-app toggle. The only available mode on macOS; API costs apply.
- On-premises deployment – Install and run within private infrastructure for teams requiring operational control.
- Open-source codebase – Released under Apache 2.0. Fork, modify, and deploy the full application freely.
- Local data retention – Footage, prompts, and outputs remain on-device during local inference. No external data transfers occur.
Real-World Applications
Filmmakers and video creators working on client projects may need AI video generation without uploading sensitive footage to third-party platforms. On Windows, LTX Desktop lets them generate and edit video entirely on local hardware, keeping raw assets and prompts private — provided they have a capable NVIDIA GPU with sufficient VRAM.
Developers building video pipelines or experimenting with generative models can run LTX Desktop as a local testbed. The open-source codebase under Apache 2.0 allows modification and integration into custom workflows without licensing friction for individuals and companies under $10M in annual revenue.
Studios and teams operating under strict data governance policies may find on-premises deployment useful for AI video generation at scale. Running the LTX-2.3 model within private infrastructure removes reliance on external APIs while retaining text-to-video, image-to-video, and audio-to-video capabilities.
macOS users and Windows users without qualifying hardware can access the same editor via the LTX API backend. This removes local compute requirements but introduces per-use API costs in place of the free local inference model.
