For loop Ltx2.3 long MV auto-generated workflow

This is a long MV auto-generation application based on LTX2.3 Dev-Dare TIES + VBVR motion logic enhancement + Crisp image quality enhancement + Motion Track Control + PromptRelay segmented control + audio segment trimming + For-loop batch generation + multi-video segment merging. After users upload multiple storyboard images and a piece of music, the system automatically packages the images into batches, retrieves images one by one via a For loop, automatically trims the music according to the duration of each segment, generates an audio-driven video segment for each image, and finally collects and merges multiple video segments into a long MV.

The core advantages of this workflow are: No need to run manually segment by segment; the number of images determines the loop count, the music is automatically trimmed by segment, and action prompts are automatically read by segment. It is suitable for creating AI character MVs, anime character singing videos, long music short films, storyboard MVs, virtual singer videos, Naruto/ACGN original character MVs, rhythm-based product short videos, and batch storyboard finishing. Compared to regular single-image-to-video, it solves the problem of "long-video segmentation automation": one image per segment, one segment per music piece, one segment per action prompt, ultimately automatically compiling them into a feature-length video. When using it, it is recommended to focus on controlling five items: Multiple storyboard images determine each visual segment, input music determines the overall rhythm, duration per segment determines song cuts and video length, global prompts (used to write overall visual rules) determine character stability rules, and segmented prompts (writing action changes for each time period) determine the camera actions of each segment.

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