One workflow for multi-image reference video generation on LTX 2.3, with a three-stage render enhancement pass.
You supply a set of reference images and a prompt, and the graph produces a video where the subjects
come from the references. MSR (multi-subject reference) keeps them separate instead of blending them
into an average face.
Three-stage rendering is applied on top: structure pass, refinement pass, texture pass. Each stage
gets a progressively smaller denoise budget so the later stages adjust rather than rebuild.
Reference-conditioned video accumulates drift. A single long pass tends to lose the references
halfway through. Splitting the render lets you re-anchor on the references between stages, which is
what keeps the subject looking like the subject at the end of the clip.
ComfyUI export, LTX 2.3 models required. The cloud instance on RunningHub already has them.
Workflow JSONs and covers: [https://huggingface.co/AI-KSK/ksk-video-262-comfyui-workflows](https://huggingface.co/AI-KSK/ksk-video-262-comfyui-workflows)
Video walkthrough (Chinese): [https://youtu.be/P-D1niNdJ4w](https://youtu.be/P-D1niNdJ4w)
Bilibili: [https://www.bilibili.com/video/BV1xsJw6YEg6/](https://www.bilibili.com/video/BV1xsJw6YEg6/)