--- license: apache-2.0 library_name: diffusers tags: - video-generation - multi-reference - LTX-2.5 base_model: - Lightricks/LTX-2.5 github: https://github.com/liconstudio/ComfyUI-LTX2.5-MSR --- # Licon MSR V1 for LTX-2.5 ## Overview **Licon MSR V1** is a multi-reference LoRA trained for **LTX-2.5**. It uses the **Multiple Subject Reference (MSR)** approach to encode multiple reference images as visual tokens in the same latent space as the target video. Each reference is assigned a learned slot embedding and a distinct negative temporal position, allowing target video tokens to retrieve character, clothing, object, and scene information through the model's native self-attention layers. ## Key Features - Supports up to five reference images - Preserves multiple characters, clothing, objects, and backgrounds - Learned slot embeddings distinguish different references - Native self-attention retrieval of reference details - Supports multi-subject and subject-object composition - Designed specifically for the LTX-2.5 architecture ## Usage ComfyUI inference requires **[ComfyUI-LTX2.5-MSR](https://github.com/liconstudio/ComfyUI-LTX2.5-MSR)**. A sample workflow is included in the plugin repository. ## Usage Tips - Describe each reference image clearly in the prompt. - Use consistent labels such as `Image 1`, `Image 2`, and `Image 3`. - Clearly specify subject actions and spatial relationships. - Specify which reference provides the character, object, clothing, or background. ## Examples

Example 03	Example 06	Example 07
Reference Images MiniMax H3 Licon MSR V1	Reference Images MiniMax H3 Licon MSR V1	Reference Images MiniMax H3 Licon MSR V1