Workflow：

https://www.runninghub.ai/post/2064244173393457153/?inviteCode=rh-v1497

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YouTube tutorial：

This workflow is based on LTX 2.3 and integrates the Licon MSR custom node developed by Bilibili creator Light Cone Lab, designed to tackle the notoriously difficult problem of multi-subject consistency in AI video generation. Unlike the traditional LTX tendency toward artistic or slow-motion styles, after deep tuning it can stably output fast-paced martial arts combat and other high-speed action scenes without any post-production speed-up. The core idea is to pack 2 to 5 static reference images into a "pseudo-video" that acts as the model's visual memory, allowing the AI to accurately remember and reproduce multiple independent visual elements. The 50fps high-frame-rate setting further smoothens the transition of fast-moving object details, while an integrated large language model intelligently expands action prompts, effectively avoiding monotonous motion in high-speed scenes.

Core Features:

- Integrated Licon MSR node, packing multiple static reference images into a guiding video to achieve multi-subject consistency

- Supports 50fps high-frame-rate output, eliminating ghosting and choppiness for fast-moving objects

- Can blend 2–5 different reference images, enabling multiple specific characters to appear and interact spatially within a single video

- Integrates a large language model (LLM) to expand action descriptions in prompts, maintaining motion complexity and plausibility in high-speed scenes

- Requires at least two input images (first frame and background image); the background image is critical for scene stability