I got LTX-2.3 Running in Real-Time on a 4090
A developer optimized the LTX-2.3 model to run in real-time on consumer hardware using the open-source Scope tool.
A developer known as Buff, in collaboration with the team at Daydream.live, has successfully optimized the LTX-2.3 AI model to run in real-time on consumer-grade hardware. This was achieved by creating a custom plugin for Scope, an open-source tool designed for building real-time AI pipelines. The key breakthrough is running the model on a single NVIDIA GeForce RTX 4090 GPU, requiring careful tuning of parameters like FP8 optimizations, resolution, and frame count to find the performance sweet spot between speed and visual quality.
The plugin transforms Scope, which traditionally focused on autoregressive models, into a platform for fast, bi-directional video workflows. It currently supports real-time text-to-video (T2V), image-to-video (TI2V), and video-to-video (V2V) generation with control inputs like depth maps or poses. Additional features include audio output, support for ComfyUI-style LoRAs for model customization, and randomized seeds. While there's a slight processing delay between clips and a short lag for real-time text prompting, the software represents a significant step toward accessible, local real-time video synthesis. The plugin is free and available to the open-source community.
- Enables real-time LTX-2.3 inference on a consumer NVIDIA RTX 4090 GPU via the open-source Scope tool.
- Supports T2V, TI2V, V2V with control inputs (DWPose, Depth), audio output, and ComfyUI LoRAs.
- Optimized using FP8 precision and parameter balancing to achieve a workable real-time frame rate with some processing delay.
Why It Matters
Democratizes high-end video generation by making real-time, locally-run AI video synthesis feasible on powerful consumer GPUs.