ComfyUI Node: 🌀 VRGDG_CombinevideosV2

🌀 VRGDG_CombinevideosV2:

The VRGDG_CombinevideosV2 node is designed to seamlessly combine multiple video inputs into a single cohesive video output. This node is particularly beneficial for AI artists and video creators who need to merge various video clips into one continuous sequence, ensuring a smooth transition between different scenes. The node handles the concatenation of video frames along the time dimension, allowing for the creation of longer video sequences from shorter clips. It is capable of managing videos with different frame counts by trimming or padding them to match a target frame count, ensuring uniformity across the combined video. This functionality is crucial for maintaining synchronization and consistency in the final output, especially when dealing with videos of varying lengths. The node's ability to handle multiple video formats and its integration with other nodes in the pipeline make it a versatile tool for video processing tasks.

🌀 VRGDG_CombinevideosV2 Input Parameters:

video_x

The video_x parameter represents the individual video inputs that you wish to combine. Each video should be provided as a tensor with four dimensions, specifically in the shape of (frames, height, width, channels). This parameter is crucial as it determines the video clips that will be concatenated into the final output. The node requires at least one video input to function, and it can handle multiple video inputs simultaneously. The videos should be pre-processed to ensure they are in the correct format and dimensions before being fed into the node. There is no explicit limit on the number of videos that can be combined, but the performance may vary depending on the system's capabilities and the size of the videos.

🌀 VRGDG_CombinevideosV2 Output Parameters:

final_video

The final_video output parameter is the result of the concatenation process, providing a single video tensor that combines all the input videos. This output is a tensor with dimensions (total_frames, height, width, channels), where total_frames is the sum of the frames from all input videos. The final video is returned as a CPU tensor, which is important for compatibility with downstream nodes that may require the video to be in a specific format for further processing or saving. This output is essential for users who need a unified video sequence from multiple clips, ensuring that the final product is ready for further editing or direct use.

🌀 VRGDG_CombinevideosV2 Usage Tips:

• Ensure all input videos are in the correct format and dimensions before combining them to avoid errors during processing.
• Use the node to create longer video sequences from shorter clips, which is useful for storytelling or creating thematic video compilations.
• Consider the system's memory and processing capabilities when combining a large number of high-resolution videos to prevent performance issues.

🌀 VRGDG_CombinevideosV2 Common Errors and Solutions:

No video inputs detected. Connect at least one video_x input.

• Explanation: This error occurs when no video inputs are connected to the node, which is necessary for the combination process.
• Solution: Ensure that at least one video input is connected to the node before executing the process.

video_x must have shape (frames,H,W,C), got <actual_shape>

• Explanation: This error indicates that the input video does not have the required four-dimensional shape, which is necessary for processing.
• Solution: Verify that all input videos are formatted correctly with dimensions (frames, height, width, channels) before feeding them into the node.