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Synchronize audio with frames, map audio dynamics to visuals, drive animations in sync with audio.
The AK_AudioFramesyncSchedule
node is designed to synchronize audio with frames by calculating the loudness of the audio at each frame. This node is particularly useful for AI artists who want to create audio-reactive visual content, as it allows for the precise mapping of audio dynamics to visual elements. By analyzing the audio's loudness over time, the node generates a sequence of values that can be used to drive animations or effects in sync with the audio. This process involves segmenting the audio into frames, calculating the loudness for each frame, and optionally applying easing functions to smooth the transitions between frames. The node's ability to handle different frame rates and apply amplitude control and offset makes it a versatile tool for creating dynamic and engaging audio-visual experiences.
The audio
parameter expects an audio file in the "wav" format. This is the primary input that the node will analyze to calculate the loudness for each frame. The audio file should be provided in a format that can be processed by the node to extract the necessary loudness information.
The amp_control
parameter is a float value that controls the amplification of the calculated loudness. It allows you to scale the loudness values, with a minimum of 0.1, a maximum of 1024.0, and a default value of 1.0. This parameter is useful for adjusting the sensitivity of the loudness calculation to better match the desired visual effect.
The amp_offset
parameter is a float value that adds an offset to the calculated loudness. It ranges from 0.0 to 1023.0, with a default value of 0.0. This parameter can be used to ensure that the loudness values start from a specific baseline, which can be helpful in scenarios where a minimum level of loudness is required for the visual effect.
The frame_rate
parameter is an integer that specifies the number of frames per second for the audio analysis. It determines how finely the audio is segmented into frames, with a minimum of 1, a maximum of 244, and a default value of 8. A higher frame rate results in more frames and a more detailed analysis, which can be beneficial for fast-paced audio.
The start_frame
parameter is an integer that indicates the starting frame for the audio analysis. It allows you to specify the point in the audio from which the analysis should begin, with a minimum value of 0 and a default value of 0. This parameter is useful for focusing the analysis on a specific section of the audio.
The end_frame
parameter is an integer that specifies the ending frame for the audio analysis. It allows you to define the point in the audio at which the analysis should stop, with a minimum value of -1. If set to -1, the analysis will continue to the end of the audio. This parameter is useful for limiting the analysis to a specific portion of the audio.
The curves_mode
parameter allows you to select an easing function to apply to the calculated loudness values. It offers a list of available easing functions, with "None" as the default option. This parameter is useful for smoothing the transitions between frames, creating a more natural and visually appealing effect.
The average_sum
output is a list of float values representing the average loudness for each frame. These values are calculated based on the audio's loudness and adjusted according to the amp_control
and amp_offset
parameters. This output is essential for driving audio-reactive visual elements, as it provides the data needed to synchronize visuals with the audio.
The frame_count
output is an integer that indicates the total number of frames analyzed. It provides information about the extent of the analysis and can be used to understand the resolution of the audio-to-visual mapping.
The frame_rate
output is an integer that reflects the frame rate used during the analysis. It confirms the rate at which the audio was segmented into frames and is useful for ensuring consistency between the input parameters and the resulting analysis.
curves_mode
. This can enhance the visual appeal of the audio-reactive elements.amp_control
and amp_offset
values to find the optimal sensitivity and baseline for your specific audio and visual requirements. This can help in achieving the desired effect more effectively.start_frame
and end_frame
parameters to focus the analysis on specific sections of the audio, especially if you are working with long audio files and only need to synchronize a particular segment.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.