Learn to build a comprehensive ComfyUI workflow for LTX-2, a source-available AI video generation model that runs locally on your computer. Master the creation of a unified workflow that handles text-to-video, image-to-video, first/last frame generation, custom audio integration, custom sigmas, and negative prompts even at CFG1 settings. Discover how to implement the R.O.D.E.N.T method for creating cleaner, more organized workflows while exploring both distilled and non-distilled model options. Practice enabling Stage1 and Stage 2 distillation features, experiment with 2x FPS upscaling, and integrate starting images with first/last frame controls. Compare performance differences between FP4, fp8-dev, and fp8-distilled versions through practical examples, and organize common settings for easy accessibility within a single, powerful workflow that eliminates the need for multiple separate workflows or complex subgraphs.