The fastest way to get this model running locally is via Docker.
Review and follow the instructions below.
The client handles the setup, pulling gigabytes of data automatically.
You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.
LTX-2.3 is a next‑generation **AI model** that builds upon the successes of its predecessors with a focus on **multimodal** understanding and generation. It leverages an enhanced **transformer architecture** that incorporates **attention gating** and **sparse activation** to achieve higher **efficiency** while maintaining *state‑of‑the‑art* performance. The model supports text, image, and audio inputs, enabling **real‑time inference** across a variety of **applications** from content creation to virtual assistants. With a parameter count of **1.8 billion**, LTX-2.3 balances **computational cost** and **model capacity**, making it suitable for both cloud and edge deployments. Its training pipeline utilizes a **curated web‑scale dataset** that emphasizes *high‑quality* and *diverse* content, resulting in improved factual consistency and contextual relevance. Benchmarks show that LTX-2.3 outperforms comparable models by an average of **12 %** in multilingual tasks while reducing latency by **30 %** on standard hardware.
| Spec | Value |
|---|---|
| Parameters | 1.8 B |
| Training Data | 2.5 TB text + multimedia |
| Inference Speed | 120 ms per token (GPU) |
| Supported Modalities | Text, Image, Audio |
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