LTX 2.3 FLF2V

The LTX 2.3 KJ Stripped 1.1 workflow is a specialized audio-visual (AV) generation pipeline designed to interpolate between two static images. It utilizes a "Guided" architecture to ensure the generated video adheres strictly to a designated start and end point. Core Architecture & Processing Model Loading : The workflow employs the LTX-Video 2.3 22B Distilled transformer model via a specialized KJ loader node. Dual-Modality Processing : It initializes both an EmptyLTXVLatentVideo and an LTXVEmptyLatentAudio space. AV Concatenation : Visual and audio latents are merged into a single latent stream using the LTXVConcatAVLatent node, allowing the sampler to process both simultaneously. Frame Guidance System Start Frame Anchor : An image is loaded and preprocessed to serve as the reference for frame_idx: 0 . End Frame Anchor : A second image is loaded and preprocessed to serve as the reference for the final frame ( frame_idx: -1 ). Guide Application : The LTXVAddGuide nodes apply these images to the latent space with a configurable strength (set to 0.7 in this version) to dictate the video’s trajectory. Sampling & Decoding KSampler Configuration : The workflow uses a high-speed 8-step Euler sampler with a simple scheduler. Separation & Decoding : After sampling, the LTXVSeparateAVLatent node splits the results back into distinct video and audio streams. Tiled Decoding : Visuals are decoded using VAEDecodeTiled to manage high-resolution output (1024x1024) efficiently. Enhancement & Output NVIDIA RTX Integration : The workflow includes an RTXVideoSuperResolution node that provides a 2x hardware-accelerated upscale on the final image sequence. Final Assembly : The VHS_VideoCombine nodes produce two versions of the video—a base generation and a super-resolved version—both featuring synchronized, AI-generated audio.