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Last updated
2025-12-04

ExtractStoryboards is a tool designed for video processing, specifically for extracting keyframes and storyboards from video content. It allows users to segment videos effectively, focusing on important frames that capture significant moments.

  • Enables extraction of keyframes based on customizable thresholds for motion detection.
  • Supports merging of isolated frames to streamline storyboard creation, particularly useful in videos with transitions.
  • Offers functionality to split lengthy segments into manageable frames, enhancing the workflow for subsequent editing.

Context

ExtractStoryboards is an extension within ComfyUI that focuses on the extraction of keyframes and storyboards from video files. Its primary aim is to facilitate video editing by identifying and isolating important frames, making it easier for users to create storyboards for further processing.

Key Features & Benefits

The tool features adjustable thresholds for motion detection, allowing users to fine-tune the sensitivity of keyframe extraction. This customization is crucial for adapting to different video styles and ensuring that only the most relevant frames are captured. Additionally, the merging of isolated frames helps to eliminate redundancy in storyboards, providing a cleaner and more coherent visual narrative.

Advanced Functionalities

ExtractStoryboards includes advanced options such as the ability to split long segments of video into smaller, more manageable frames based on a specified maximum frame count. This is particularly beneficial when preparing storyboards for detailed editing or when using additional tools like wan2.1, as it ensures that each segment remains within a practical size for further manipulation.

Practical Benefits

By integrating ExtractStoryboards into their workflow, users can significantly enhance their efficiency and control over video editing processes. The tool streamlines the storyboard creation process, allowing for quicker identification of key moments and reducing the time spent on manual frame selection. This ultimately leads to higher quality outputs and a more organized editing experience.

Credits/Acknowledgments

The tool was developed by contributors who have made significant advancements in video processing techniques. It is open-source, allowing for community collaboration and further enhancements.

Inner Nodes

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