LTX-2.3 MSR V2: Multi-Subject Reference LoRA Gets Major Quality Upgrade

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LiconStudio releases V2 of the popular Multiple Subject Reference LoRA for LTX-2.3, with improved consistency, stability, and scene logic based on community feedback.

LiconStudio has released V2 of their Multiple Subject Reference (MSR) LoRA for LTX-2.3, bringing significant improvements across consistency, stability, and scene logic based on extensive community feedback from V1.

While V1 was already a popular solution for multi-reference video generation — keeping track of up to 5 reference subjects in a single video — V2 addresses the most common pain points reported by users: identity drift, visual artifacts in complex compositions, and unnatural subject interactions.

What's New in V2

The update targets three core areas:

1. Improved Consistency

  • Better preservation of character identity, clothing, objects, and scene details
  • More consistent appearance across frames
  • Improved alignment between multiple reference images and the generated video
  • Reduced identity drift and reference attribute loss

2. Improved Stability

  • More reliable results across repeated sampling runs
  • Reduced visual artifacts, flickering, and temporal inconsistencies
  • More stable generation in complex multi-subject compositions
  • Improved handling of motion and interactions between subjects

3. Improved Scene Logic

  • Better understanding of spatial and action relationships described in prompts
  • More natural subject positioning and interaction
  • Improved temporal progression from the beginning to the end of a video
  • More coherent composition of characters, objects, and backgrounds

How MSR Works

Unlike traditional multi-reference approaches that require additional encoder branches or fusion modules, MSR transforms multiple static reference images into a pseudo-video sequence. This sequence shares the same representation space as the target video, allowing reference tokens to be accessed through the model's existing self-attention mechanism — no additional architectural components needed.

The LoRA supports 2 to 5 reference images, each providing complementary semantic information such as subject identity, object details, scene background, or multiple viewpoints.

Usage

The LoRA requires the ComfyUI-Licon-MSR custom node plugin, which handles the creation of fixed-frame MP4 reference videos from multiple subject images. A sample workflow is included in the model files for easy experimentation.

Tips for Best Results

  • Use concise but accurate descriptions of each reference image — both excessive and insufficient descriptions can reduce consistency
  • Clearly describe the role of each referenced subject, object, or scene in the target video
  • For high-motion scenes, 50 fps is recommended for smoother motion coherence
  • Complex multi-subject interactions may still benefit from multiple sampling runs

Availability

The V2 LoRA is available on Hugging Face under the Apache 2.0 license:

Model: LiconStudio/LTX-2.3-Multiple-Subject-Reference
Plugin: ComfyUI-Licon-MSR
Base model: Lightricks/LTX-2.3

LTX-2.3 MSR V2: Multi-Subject Reference LoRA Gets Major Quality Upgrade | ComfyUI Wiki