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Define sampling groups for structured workflows in OCS framework, aiding AI artists in managing complex sampling tasks efficiently.
The OCS Group node is designed to define a group within the Overly Complicated Sampling (OCS) framework. This node allows you to organize and manage various sampling substeps and parameters, facilitating a structured and modular approach to complex sampling tasks. By grouping related substeps and parameters, the OCS Group node helps streamline the sampling process, making it easier to manage and customize. This node is particularly useful for AI artists who need to create intricate sampling workflows, as it provides a clear and organized way to define and connect different components of the sampling process.
This optional parameter allows you to connect the output from another OCS Group node. Only one group per step is used, and the matching process (based on time or other constraints) starts with the OCS Group node furthest from the OCS Sampler. This helps in organizing and structuring the sampling steps efficiently.
This optional parameter lets you connect parameters like custom noise, which are output from the OCS Param or OCS MultiParam nodes. By connecting these parameters, you can customize the sampling process with specific noise types or other parameter settings, enhancing the flexibility and control over the sampling workflow.
This optional text parameter block allows you to set custom parameters using YAML (recommended) or JSON. It is multiline and does not support dynamic prompts. The default value is set to DEFAULT_YAML_PARAMS
. This parameter provides a way to define additional custom settings for the sampling process, offering further customization options.
The output of this node is of type OCS_GROUPS
. This output can be connected to another OCS Group node or an OCS Sampler node. It represents the defined group of sampling substeps and parameters, which can be used in subsequent nodes to build a comprehensive and organized sampling workflow.
groups_opt
parameter to connect multiple OCS Group nodes, allowing for a hierarchical and structured sampling process. This can help manage complex workflows by breaking them down into smaller, manageable groups.params_opt
parameter to introduce custom noise and other specific settings into your sampling process. This can enhance the quality and uniqueness of your samples.parameters
text block to define additional custom settings using YAML or JSON. This provides a flexible way to introduce further customization into your sampling workflow.groups_opt
parameter is not connected correctly or the connected node is not of type OCS_GROUPS
.groups_opt
parameter is connected to a valid OCS Group node output. Verify the type of the connected node to ensure compatibility.params_opt
parameter is not connected correctly or the connected node is not of type OCS_PARAMS
.params_opt
parameter is connected to a valid OCS Param or OCS MultiParam node output. Confirm the type of the connected node to ensure it matches the expected OCS_PARAMS
type.parameters
text block contains incorrectly formatted YAML or JSON.parameters
text block to ensure it follows the correct YAML or JSON syntax. Use a YAML/JSON validator to check for any formatting errors.© Copyright 2024 RunComfy. All Rights Reserved.