LTX open source
We’re building world models that understand and simulate physical reality. Technology this foundational has to be built in the open where it can be inspected, improved, and trusted.

Downloads on HuggingFace
Parameters, open weights
Runs locally on a single RTX 5090
Our vision
Open source isn’t a feature. It’s how world models scale.
The next generation of AI will run on your hardware, your data, and your world. No centralized model can understand every environment it needs to serve.
Everything you need to start building with LTX.
Model weights
Inference & training code
Reference pipelines
Benchmarks & evals

Your infrastructure. Your hardware. Complete control over deployment.
Fine-tune for your environment. Models that understand your world.
Modify the full stack. Extend, adapt, and evolve.
Open architecture means faster iteration and shared improvements.
Academic Programs
Whether you're just getting started or building the next generation of Physical AI, we're here to help.
Giving builders early access, technical resources, and collaboration opportunities.
Helping developers build for robotics, automation, manufacturing, and beyond.
Supporting universities, research labs, and students advancing world models.
Community Library
Discover products, ComfyUI workflows, and LoRAs created by builders across the community. Built something with LTX? Submit it to the Community Library. Apply Now →















































Join thousands of developers, researchers, creators, and builders shaping the future of world models.

FAQs
LTX-2.3 is a 22B-parameter video generation model with fully open weights, built for commercial teams that need complete control over their infrastructure. Fine-tune on proprietary IP, run fully on-premise, and integrate directly into existing pipelines.
LTX-2.3 uses a diffusion-based transformer architecture to generate video content. This approach allows the model to learn temporal structure across frames while producing coherent, high-quality video outputs suitable for research and experimentation.
Yes. LTX-2.3 supports text-to-video generation workflows, allowing enterprise teams to explore how textual prompts can be translated into generated video sequences using an open source model.
Yes. LTX-2.3 can be used for image-to-video generation research, enabling experimentation with transforming still images into dynamic video outputs using open source AI techniques.
LTX-2.3 weights and code are available on GitHub and Hugging Face. There is also licensing opportunities for those that require. Ready to deploy, fine-tune, or integrate into your existing infrastructure today.
Yes. LTX-2.3 is designed with students, universities, and researchers in mind. Its open source release makes it suitable for coursework, academic research, benchmarking, and hands-on experimentation with AI transformer models for video generation.
LTX-2.3 is free and open source to use under its license. Users can access the model, code, and resources without cost, making it suitable for both commercial and non-commercial use.
LTX-2.3 gives commercial teams something closed models can't: full access to weights, training code, and inference pipelines so you can fine-tune on proprietary IP, deploy on your own infrastructure, and build production workflows without cloud dependency or data exposure. Text-to-video and image-to-video out of the box, with a diffusion-based architecture built to be extended.