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Controlled pause for precise timing in image processing workflows, managing data flow and operation intervals.
The DelayNode is a utility node designed to introduce a controlled pause in the execution of a process, specifically tailored for image processing workflows. This node is particularly useful when you need to synchronize or delay operations within a sequence, allowing for precise timing control. By incorporating a delay, you can manage the flow of data and ensure that subsequent operations occur at the desired intervals. This can be beneficial in scenarios where timing is crucial, such as in animations or when coordinating multiple processes. The DelayNode is part of the Creepybits Utilities category, emphasizing its role in providing essential utility functions to enhance your workflow.
The seconds parameter specifies the duration of the delay in seconds. It is a floating-point value that determines how long the node will pause before passing the image to the next step in the workflow. The minimum value for this parameter is 0.1 seconds, ensuring that there is always a perceptible delay. The default value is set to 1.0 seconds, providing a standard delay duration that can be adjusted in increments of 0.1 seconds. This parameter allows you to fine-tune the timing of your process, making it a critical component for achieving the desired synchronization in your workflow.
The image parameter is the input image that the node will process. This parameter accepts an image in the form of a torch.Tensor, which is a common format for image data in machine learning and AI applications. The image is passed through the node and is returned unchanged after the specified delay. This parameter is essential as it represents the data that the node operates on, and its presence ensures that the node can be integrated seamlessly into image processing pipelines.
The image output parameter is the same image that was input into the node, returned after the specified delay. This output is crucial as it allows the delayed image to continue through the processing pipeline, maintaining the integrity and flow of the data. By returning the image unchanged, the node ensures that the delay is the only modification applied, preserving the original image data for subsequent operations.
seconds parameter to fine-tune the delay duration, ensuring that subsequent operations occur at the desired intervals for optimal results.seconds parameter is set to at least 0.1 seconds to comply with the minimum requirement.torch.Tensor format, which is required for processing.torch.Tensor format before inputting it into the DelayNode to ensure compatibility.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.