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Facilitates video integration and manipulation for AI art projects, enabling dynamic visual elements and temporal effects.
The FloatingVideo node is designed to facilitate the seamless integration and manipulation of video content within your AI art projects. This node allows you to read and process video frames, enabling you to incorporate dynamic visual elements into your creations. By leveraging the capabilities of this node, you can extract frames from a video file, apply various transformations, and blend them into your artwork. The primary goal of the FloatingVideo node is to provide a flexible and efficient way to handle video data, making it easier for you to experiment with motion and temporal effects in your AI-generated art.
The file_path
parameter specifies the location of the video file that you want to process. This parameter is crucial as it directs the node to the correct video source. Ensure that the path is accurate and accessible to avoid any file not found errors. There are no specific minimum or maximum values for this parameter, but it must be a valid file path string.
The time_offset
parameter determines the starting point in the video from which frames will be extracted. This allows you to skip a certain duration at the beginning of the video if needed. The value is typically in seconds, and it should be a non-negative float. The default value is 0.0
, meaning the video will start processing from the very beginning.
The target_frame_time
parameter sets the interval at which frames are captured from the video. This is calculated based on the video's frames per second (FPS) and allows you to control the frame rate of the extracted frames. The value is derived from the video's FPS, ensuring that frames are captured at consistent intervals. There are no specific minimum or maximum values, but it should be a positive float.
The frame
output parameter provides the extracted video frame at the specified time offset and frame interval. This output is essential for integrating video content into your AI art projects, as it delivers the visual data needed for further processing and transformation. Each frame is typically an image array that can be manipulated or blended with other visual elements.
The is_returned
output parameter is a boolean value indicating whether a frame was successfully extracted from the video. This parameter helps in determining if the video has ended or if there was an issue in reading the frame. A value of true
means a frame was successfully returned, while false
indicates the end of the video or an error in frame extraction.
file_path
is correct and the video file is accessible to avoid file not found errors.time_offset
parameter to skip unnecessary parts of the video and start processing from a specific point.target_frame_time
to control the frame rate of the extracted frames, which can help in creating smooth or time-lapse effects.file_path
parameter and ensure the video file is located at the specified path.© Copyright 2024 RunComfy. All Rights Reserved.