Wan22_shot_lora is a specialized Low-Rank Adaptation (LoRA) model designed for the Wan2.2 video generation architecture.
Its primary goal is to break the continuity typically found in AI videos and introduce dynamic shot changes, scene cuts, and transitions. It works effectively for both Text-to-Video (T2V) and Image-to-Video (I2V) workflows.
see details: https://github.com/KingCultureHealth/Wan22_shot_lora
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