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Specialized node for optimizing CogVideoXTransformer3DModel performance using Pyramid Attention Broadcast techniques.
CogVideoPABConfig is a specialized configuration node designed to optimize the performance of the CogVideoXTransformer3DModel by leveraging Pyramid Attention Broadcast (PAB) techniques. This node aims to speed up the inference process by reducing redundant attention computations, which can significantly enhance the efficiency of video processing tasks. By configuring various parameters related to spatial, temporal, and cross-broadcasting, you can fine-tune the model to balance between speed and memory usage, making it a powerful tool for AI artists working with video generation and transformation.
The number of steps to be executed during the inference process. This parameter directly impacts the duration and thoroughness of the computation. A higher number of steps can lead to more accurate results but will require more time and computational resources. The default value is 50.
A boolean parameter that enables or disables spatial broadcasting. When set to True, spatial broadcasting is activated, which can help in reducing redundant spatial attention computations. The default value is True.
The starting value of the spatial threshold range. This parameter, along with spatial_threshold_end
, defines the range within which spatial broadcasting is applied. The default value is 100.
The ending value of the spatial threshold range. This parameter, along with spatial_threshold_start
, defines the range within which spatial broadcasting is applied. The default value is 850.
Defines the range of spatial broadcasting. This parameter determines how far the spatial attention can extend, impacting the granularity of spatial attention computations. The default value is 2.
A boolean parameter that enables or disables temporal broadcasting. When set to True, temporal broadcasting is activated, which can help in reducing redundant temporal attention computations. The default value is False.
The starting value of the temporal threshold range. This parameter, along with temporal_threshold_end
, defines the range within which temporal broadcasting is applied. The default value is 100.
The ending value of the temporal threshold range. This parameter, along with temporal_threshold_start
, defines the range within which temporal broadcasting is applied. The default value is 850.
Defines the range of temporal broadcasting. This parameter determines how far the temporal attention can extend, impacting the granularity of temporal attention computations. The default value is 4.
A boolean parameter that enables or disables cross broadcasting. When set to True, cross broadcasting is activated, which can help in reducing redundant cross attention computations. The default value is False.
The starting value of the cross threshold range. This parameter, along with cross_threshold_end
, defines the range within which cross broadcasting is applied. The default value is 100.
The ending value of the cross threshold range. This parameter, along with cross_threshold_start
, defines the range within which cross broadcasting is applied. The default value is 850.
Defines the range of cross broadcasting. This parameter determines how far the cross attention can extend, impacting the granularity of cross attention computations. The default value is 6.
The output parameter pab_config
is an instance of the CogVideoXPABConfig
class, which encapsulates all the configured settings for Pyramid Attention Broadcast. This configuration is used to optimize the performance of the CogVideoXTransformer3DModel by reducing redundant attention computations, thereby speeding up the inference process and potentially increasing memory usage.
spatial_broadcast
, temporal_broadcast
, and cross_broadcast
to True. Adjust the threshold and range parameters to fine-tune the performance.spatial_range
and temporal_range
to ensure that the attention mechanisms cover a broader area, which can improve the quality of the generated video.steps
parameter to allow for more thorough computations, but be aware that this will also increase the processing time.set_pab_manager
function with a valid PABConfig
instance before using the configuration.*_threshold_start
parameters are less than or equal to the corresponding *_threshold_end
parameters.steps
parameter is set to a value that is either too low or too high.steps
parameter is set to a reasonable value, typically between 1 and 100, depending on the complexity of the task and available computational resources.© Copyright 2024 RunComfy. All Rights Reserved.