> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# LotusConditioning - ComfyUI Built-in Node Documentation

> Complete documentation for the LotusConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage.

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LotusConditioning/en.md)

The LotusConditioning node provides pre-computed conditioning embeddings for the Lotus model. It uses a frozen encoder with null conditioning and returns hardcoded prompt embeddings to achieve parity with the reference implementation without requiring inference or loading large tensor files. This node outputs a fixed conditioning tensor that can be used directly in the generation pipeline.

## Inputs

| Parameter   | Data Type | Required | Range | Description                                     |
| ----------- | --------- | -------- | ----- | ----------------------------------------------- |
| *No inputs* | -         | -        | -     | This node does not accept any input parameters. |

## Outputs

| Output Name    | Data Type    | Description                                                                                                               |
| -------------- | ------------ | ------------------------------------------------------------------------------------------------------------------------- |
| `conditioning` | CONDITIONING | The pre-computed conditioning embeddings for the Lotus model, containing fixed prompt embeddings and an empty dictionary. |