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Efficiently segment sigma values for targeted manipulation in AI art generation.
The Sigmas Split node is designed to efficiently segment a sequence of sigma values, which are often used in processes like denoising or sampling in AI art generation. This node allows you to specify a range within the sigma sequence, effectively extracting a subset of these values for further processing. By enabling precise control over the sigma range, the node facilitates targeted manipulation of the sigma schedule, which can be crucial for achieving desired effects in image generation or other creative AI tasks. The primary goal of this node is to provide flexibility and precision in handling sigma sequences, making it an essential tool for artists looking to fine-tune their AI models' behavior.
The sigmas
parameter represents the sequence of sigma values that you want to split. This input is mandatory and serves as the primary data set that the node will process. The sequence of sigmas is typically used in denoising or sampling processes, and this parameter allows you to specify the exact sequence you wish to manipulate.
The sigmas_start
parameter defines the starting index of the sigma sequence that you want to extract. It determines where the split will begin within the sequence. The minimum value is 0, the maximum is 1000, and the default is set to 0. Adjusting this parameter allows you to control the starting point of the sigma subset, which can influence the outcome of the subsequent processing steps.
The sigmas_end
parameter specifies the ending index of the sigma sequence to be extracted. It marks the point where the split will conclude. The minimum value is 0, the maximum is 1000, and the default is set to 1000. By setting this parameter, you can control the length of the sigma subset, which is crucial for tailoring the sigma schedule to your specific needs.
The output parameter SIGMAS
is the resulting subset of the sigma sequence after the specified range has been extracted. This output is crucial for further processing or analysis, as it provides the precise segment of the sigma schedule that you have defined using the input parameters. The extracted sigma values can then be used in various AI art generation processes, allowing for refined control over the model's behavior.
sigmas_start
and sigmas_end
parameters to define the desired range. This can help in focusing on particular segments of the sigma schedule for targeted effects.sigmas_start
or sigmas_end
parameters are set outside the bounds of the sigma sequence.sigmas_start
and sigmas_end
values are within the valid range of the sigma sequence. Adjust these parameters to fit the length of the input sequence.sigmas_start
or sigmas_end
.sigmas_start
and sigmas_end
are integers. If necessary, convert any non-integer inputs to integers before using them in the node.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.