<h3 id="acknowledgements">Acknowledgements</h3>I have addressed all known bugs within this workflow (excluding those inherent to ComfyUI or specific custom nodes). As such, I am concluding regular updates for this project.I might still push occasional updates if the mood strikes me, but for now, consider this the final version. Thank you so much for the downloads and support. I hope this workflow helps your creative process - happy generating!<h3 id="overview">Overview</h3>A simple LTX-2.3 workflow. It uses the Distilled GGUF model for fast generation. <h3 id="core-features">Core Features</h3>Single / Extend Generation ModeYou can choose whether to generate the video once or extend it afterward.Three prompt input modes<ol><li>Prompt enhancement using Ollama</li><li>Native LTX prompt enhancement</li><li>Plain (no enhancement)</li></ol>If Ollama is not needed, you can disconnect it from the Ollama SubGraph node or simply delete the node.<h3 id="optional-features">Optional Features</h3>Preview Switch: Displays a preview during sampling.Audio-driven: Generates a video that matches an existing audio file.T2V Switch: Ignores the start image and generates the video using text-to-video.Full Mode: Generated using Steps 15 and CFG 3.0. This takes a very long time. While the camera work and motion may be slightly improved, the generation time is not practical.Double-Frame Mode: For use with intense motion. By rendering at twice the frame rate, facial distortion is less likely to occur.<h3 id="note">Note</h3>If you encounter the error, please update ComfyUI-KJNodes to the latest version.If you apply the Sulphur LoRA, a strength of 0.5 is likely the best choice. At 1.0, it tends to introduce noise into the audio, and basic motions such as walking or running are more likely to appear in slow motion.

LTX-2.3 Long Video Generation (Distilled GGUF) workflows

3/22 : Minor fixes, Added RTX Video Upscaler3/19 : Minor fixes, Added audio-driven motion feature3/17 : Some bug fix3/11 : End frame(FLF) support

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