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ComfyUI > Nodes > ComfyUI_SamplingUtils > Any List (Primitive)

ComfyUI Node: Any List (Primitive)

Class Name

AnyList

Category
advanced
Author
silveroxides (Account age: 2211days)
Extension
ComfyUI_SamplingUtils
Latest Updated
2026-06-03
Github Stars
0.02K

How to Install ComfyUI_SamplingUtils

Install this extension via the ComfyUI Manager by searching for ComfyUI_SamplingUtils
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI_SamplingUtils in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Any List (Primitive) Description

Dynamic list management node with autogrow feature for diverse data types, ideal for AI artists.

Any List (Primitive):

The AnyList node is designed to facilitate the creation and management of dynamic lists that can accommodate a variety of data types. This node is particularly useful for AI artists who need to handle multiple inputs of different types without worrying about the constraints of fixed data structures. By leveraging the autogrow feature, the AnyList node automatically expands to include all items added, making it a flexible and powerful tool for managing collections of data. This capability is essential for complex workflows where the number and type of inputs can vary, allowing for seamless integration and manipulation of diverse data sets.

Any List (Primitive) Input Parameters:

input

The input parameter is a dynamic input that accepts items of any type. This parameter is designed to be flexible, allowing you to add multiple items without predefined limits. The autogrow feature ensures that the list can expand to accommodate all items added, making it ideal for scenarios where the number of inputs is not fixed. This parameter is crucial for creating lists that can handle a wide range of data types, providing versatility in data management and processing.

Any List (Primitive) Output Parameters:

output

The output parameter provides the resulting list after processing the input items. This output is a comprehensive collection of all items added through the input parameter, maintaining their original types. The importance of this output lies in its ability to deliver a unified list that can be used for further processing or analysis, ensuring that all input data is preserved and accessible in a single, organized structure.

Any List (Primitive) Usage Tips:

  • Utilize the AnyList node when you need to manage a collection of diverse data types without worrying about the constraints of fixed data structures.
  • Take advantage of the autogrow feature to dynamically add items to your list, ensuring that your workflow remains flexible and adaptable to varying input sizes.

Any List (Primitive) Common Errors and Solutions:

Input type mismatch

  • Explanation: This error occurs when an input item is not compatible with the expected data types for the list.
  • Solution: Ensure that all input items are of a type that can be handled by the AnyList node. If necessary, convert or cast items to a compatible type before adding them to the list.

List overflow

  • Explanation: Although the AnyList node is designed to autogrow, extremely large lists may cause performance issues or memory constraints.
  • Solution: Monitor the size of your lists and consider breaking them into smaller, more manageable chunks if performance issues arise.

Any List (Primitive) Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI_SamplingUtils
RunComfy
Copyright 2025 RunComfy. All Rights Reserved.

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.

Any List (Primitive)