KJNodes/miscgenerated

Dummy Out(DummyOut)

From a technical implementation perspective, this node defines itself as the output node of the workflow through the `OUTPUT_NODE = True` flag.

Dummy Out

UNKNOWN
any_input
COMBO
KJNodes

From a technical implementation perspective, the Dummy Out node defines itself as an output node of the workflow through the OUTPUT_NODE = True flag.

The Dummy Out node is a simple placeholder node whose core function is to serve as the output endpoint of a workflow, triggering the system's processing and preview of upstream data. It does not modify or perform any calculations on the input data itself; it is only responsible for passing the received data through unchanged to generate a preview in the user interface.

Node Functionality

From a technical implementation perspective, this node defines itself as an output node of the workflow through the OUTPUT_NODE = True flag. It can receive input data via a COMBO (dropdown) selection and outputs the data unchanged, also as type UNKNOWN. Its internal function dummy only performs simple data passthrough and does not involve format conversion or processing.

Node Parameter Description - Dummy Out

Inputs

Parameter NameData TypeRequiredDefault ValueRange/OptionsDescription
any_inputCOMBOYes--Input parameter any_input: A dropdown selection (COMBO) used to trigger workflow output and preview.

Output

Parameter NameData TypeDescription
ANYUNKNOWNOutput parameter ANY: Outputs the input data unchanged for interface preview.

Usage Scenarios

In a practical workflow, when you need to view the generated result of an intermediate step (such as an image, latent variable, or text processed by a specific model) in real-time without saving the file to disk, you can connect this node to the end of the target data stream. For example, when debugging a complex image generation pipeline, connecting it after the VAE decoder allows you to directly preview the final image in the ComfyUI interface.

Notes

Since this node does not perform any operations, it is only suitable for triggering previews and output processes and cannot be used for data transformation, filtering, or computational tasks. It relies on upstream nodes to provide valid data.

The Dummy Out node is from the ComfyUI-KJNodes node package.

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