ComfyUI Node: VRGDG_LoadVideos

VRGDG_LoadVideos:

The VRGDG_LoadVideos node is designed to facilitate the loading and processing of video files within a specified directory. Its primary function is to read video files, convert each frame into a normalized tensor format, and concatenate these frames into a single video tensor. This node is particularly beneficial for AI artists who need to work with video data in a format that is compatible with machine learning models, as it simplifies the process of preparing video data for further analysis or manipulation. By automating the loading and conversion of video frames, VRGDG_LoadVideos streamlines workflows and enhances efficiency, making it an essential tool for projects involving video processing.

VRGDG_LoadVideos Input Parameters:

trigger

The trigger parameter is used to initiate the video loading process. It acts as a control mechanism to start the execution of the node, ensuring that the video files are processed only when required. This parameter does not have a specific value range or default, as it is typically managed by the workflow logic.

video_folder

The video_folder parameter specifies the directory path where the video files are located. It is crucial for the node to know where to look for the video files to process. The path should be a valid directory containing video files with extensions such as .mp4, .mov, .avi, or .mkv. There are no explicit minimum or maximum values, but the path must be correctly formatted and accessible.

scene_count

The scene_count parameter determines the number of video files to be loaded from the specified directory. It allows you to limit the number of videos processed in a single execution, which can be useful for managing memory usage and processing time. The default value is 3, but it can be adjusted based on the number of videos you wish to process at once.

VRGDG_LoadVideos Output Parameters:

final_video

The final_video output parameter is a tensor that contains all the concatenated frames from the loaded video files. This tensor is formatted as (F,H,W,C), where F is the total number of frames, H is the height, W is the width, and C is the number of color channels. This output is essential for further processing or analysis, as it provides a structured and normalized representation of the video data.

VRGDG_LoadVideos Usage Tips:

• Ensure that the video_folder path is correctly specified and accessible to avoid errors during video loading.
• Adjust the scene_count parameter based on your system's memory capacity to optimize performance and prevent memory overflow.
• Use the trigger parameter effectively within your workflow to control when the video loading process should occur, ensuring efficient resource management.

VRGDG_LoadVideos Common Errors and Solutions:

No video files found in <video_folder>

• Explanation: This error occurs when the specified directory does not contain any video files with the supported extensions.
• Solution: Verify that the video_folder path is correct and that it contains video files with extensions such as .mp4, .mov, .avi, or .mkv.

No frames loaded from any videos.

• Explanation: This error indicates that the node was unable to read any frames from the selected video files.
• Solution: Check the video files for corruption or unsupported formats and ensure that the scene_count parameter is set to a value that matches the number of available videos.

ValueError: No frames loaded from any videos.

• Explanation: This error is raised when the node attempts to process videos but finds no frames to load.
• Solution: Ensure that the video files are not empty and are in a readable format. Additionally, confirm that the video_folder contains valid video files.