by lovisdotio · Agent Tool · ★ 96
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
VidTrainPrep VidTrainPrep is a Python-based tool designed for clipping and preparing video data, specifically tailored for creating datasets for training video models like LORA, Wan, or Hunyuan. It allows for precise range selection, cropping, FPS conversion, and optional AI-powered description generation using the Gemini API. Acknowledgement: This tool is a significant refactoring and enhancement based on the original HunyClip by Tr1dae. (Note: Screenshot might be slightly outdated) Key Features Range-Based Clipping: Define multiple start/end points (ranges) within a single source video, instead of just one trim point. Interactive Range Creation: Create new clip ranges visually by drawing a crop rectangle on the desired start frame. The duration set in the UI is used to determine the end frame. Independent Range Cropping: Assign a unique crop region to each defined range. FPS Conversion Tool: Pre-process videos in a selected folder by converting them to a target FPS (e.g., 30 FPS) into a new subfolder, crucial for training consistency.
| Stars | 96 |
| Forks | 11 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 61.212424566405/100 |
| Open Issues | 2 |
| Last Updated | 2025-06-02 |
| Created | 2025-04-14 |
| Platforms | cli, gemini, python |
| Est. Tokens | ~1064k |
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VidTrainPrep is Python GUI tool for preparing video datasets (LORA, Wan, Hunyuan training). Features range clipping, cropping, FPS conversion & optional Gemini descriptions. (Enhanced refactor of HunyClip).. It is categorized as a Agent Tool with 96 GitHub stars.
VidTrainPrep is primarily written in Python.
You can find installation instructions and usage details in the VidTrainPrep GitHub repository at github.com/lovisdotio/VidTrainPrep. The project has 96 stars and 11 forks, indicating an active community.
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