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Merge multiple video inputs seamlessly into a cohesive output for AI artists and video creators.
The VRGDG_CombinevideosV3 node is designed to seamlessly merge multiple video inputs into a single cohesive video output. This node is particularly beneficial for AI artists and video creators who need to combine various video segments into one continuous stream, ensuring that each segment is properly aligned and synchronized. The node handles the intricacies of video dimensions and frame counts, making it easier for users to focus on the creative aspects of their projects without worrying about technical details. By automatically trimming or padding video segments to match target frame counts, VRGDG_CombinevideosV3 ensures that the final output is smooth and consistent, even when dealing with videos of varying lengths. This functionality is crucial for creating professional-quality video content where uniformity and precision are key.
The video_x parameter represents the individual video inputs that you wish to combine. Each video must be in a 4-dimensional tensor format with the shape (frames, height, width, channels), ensuring that the node can process them correctly. The number of video inputs can vary, but at least one video must be connected for the node to function. This parameter is crucial as it directly influences the final output, with each video contributing to the overall sequence. There are no explicit minimum or maximum values for this parameter, but the videos should be compatible in terms of dimensions and format to ensure a smooth combination process.
The fps parameter stands for frames per second and dictates the playback speed of the combined video. It is essential for maintaining the temporal consistency of the video, ensuring that the motion appears natural and fluid. The fps value should match the intended output format or the standard frame rate of the input videos to avoid any discrepancies in playback speed. While the context does not specify default values, common frame rates like 24, 30, or 60 fps are typically used in video production.
The pad_short_videos parameter determines whether shorter video segments should be padded to match the length of longer segments. This is particularly useful when combining videos of different lengths, as it ensures that all segments align correctly in the final output. Padding is done by repeating the last frame of the shorter video, maintaining visual consistency. This parameter is a boolean, meaning it can be set to either true or false, depending on whether padding is desired.
The is_last_run parameter indicates whether the current operation is the final run in a sequence of video processing tasks. This information is used to decide if additional padding is necessary for the last set of video groups, ensuring that the final output meets the desired length and format. This parameter is particularly relevant in batch processing scenarios where multiple video sets are processed sequentially.
The groups_in_last_set parameter specifies the number of video groups included in the last set of processing. This information helps the node determine if additional padding is required for the final output, ensuring that all video groups are accounted for and properly aligned. This parameter is an integer value, and its correct configuration is crucial for achieving the desired output length and structure.
The final output parameter is the resulting video tensor after all input videos have been combined. This tensor is a 4-dimensional array with the shape (total frames, height, width, channels), representing the complete video sequence. The final output is crucial as it provides the end product of the node's operation, ready for further processing or export. It reflects the combined length and dimensions of all input videos, adjusted according to the specified parameters.
fps parameter to match the standard frame rate of your input videos for consistent playback speed.pad_short_videos parameter to maintain alignment when combining videos of different lengths.is_last_run and groups_in_last_set parameters correctly when processing multiple video sets to ensure the final output meets your requirements.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.