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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...
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Quellenbeschreibung
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.
Quellen
1 QuelleQuellenauszüge
1 AuszugSource context: 1554 downloads · Type Workflows · Base model LTXV2
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.
Remaining hardware or download-size estimates are not available yet.
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