ComfyUI Node: VRGDG_CombinevideosV3

Class Name

VRGDG_CombinevideosV3

Category
Video
Author
vrgamegirl19 (Account age: 949days)
Extension
VRGameDevGirl Video Enhancement Nodes
Latest Updated
2025-12-13
Github Stars
0.21K

How to Install VRGameDevGirl Video Enhancement Nodes

Install this extension via the ComfyUI Manager by searching for VRGameDevGirl Video Enhancement Nodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter VRGameDevGirl Video Enhancement Nodes in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • 16GB VRAM to 80GB VRAM GPU machines
  • 400+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 200+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

VRGDG_CombinevideosV3 Description

Merge multiple video inputs seamlessly into a cohesive output for AI artists and video creators.

VRGDG_CombinevideosV3:

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.

VRGDG_CombinevideosV3 Input Parameters:

video_x

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.

fps

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.

pad_short_videos

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.

is_last_run

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.

groups_in_last_set

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.

VRGDG_CombinevideosV3 Output Parameters:

final

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.

VRGDG_CombinevideosV3 Usage Tips:

  • Ensure that all input videos are in the correct format and have compatible dimensions to avoid processing errors.
  • Set the fps parameter to match the standard frame rate of your input videos for consistent playback speed.
  • Use the pad_short_videos parameter to maintain alignment when combining videos of different lengths.
  • Configure the is_last_run and groups_in_last_set parameters correctly when processing multiple video sets to ensure the final output meets your requirements.

VRGDG_CombinevideosV3 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.
  • Solution: Ensure that at least one video input is connected to the node before executing the operation.

video_x must have shape (frames,H,W,C), got (other_shape)

  • Explanation: This error indicates that the input video does not have the required 4-dimensional shape.
  • Solution: Verify that all input videos are formatted as 4-dimensional tensors with the correct shape (frames, height, width, channels).

Expected video tensor with 4 dims (frames,H,W,C), got (other_shape)

  • Explanation: The input video tensor does not meet the expected dimensional requirements.
  • Solution: Check the input video format and ensure it matches the required 4-dimensional structure.

VRGDG_CombinevideosV3 Related Nodes

Go back to the extension to check out more related nodes.
VRGameDevGirl Video Enhancement Nodes
RunComfy
Copyright 2025 RunComfy. All Rights Reserved.

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.