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ComfyDeploy: How StyledCLIPTextEncode works in ComfyUI?

What is StyledCLIPTextEncode?

StyledCLIPTextEncode is a node that enables you to build your prompts(both postive and negative) based on the selected style. It provides up-to 77 styles currently and has been tested on SDXL and SD1.5 checkpoints. It's ported from project [a/Style Selector for SDXL 1.0](https://github.com/ahgsql/StyleSelectorXL), which is only availabe on WebUI.

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for StyledCLIPTextEncode and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine

StyledCLIPTextEncode, a Style-Decorated Prompt Node for ComfyUI

StyledCLIPTextEncode is a node that enables you to build your prompts(both postive and negative) based on the selected style. It provides up-to 77 styles currently and has been tested on SDXL and SD1.5 checkpoints. It's ported from project Style Selector for SDXL 1.0, which is only availabe on WebUI.

StyledCLIPTextEncode

StyledCLIPTextEncode Screenshot

  • the first conditioning output is Positive.
  • the second conditioning output is Negative.

Installation

To install and use the SDXL Prompt Styler nodes, follow these steps:

  1. Open a terminal or command line interface.
  2. Navigate to the ComfyUI/custom_nodes/ directory.
  3. Run the following command: git clone https://github.com/microbote/ComfyUI-StyledCLIPTextEncode.git
  4. Restart ComfyUI.

This command clones the SDXL Prompt Styler repository into your ComfyUI/custom_nodes/ directory. You should now be able to access and use the nodes from this repository.

Inputs

            "clip": ("CLIP",),
            "positive_prompt": ("STRING", {"default": "", "multiline": True, "dynamicPrompts": True}),
            "negative_prompt": ("STRING", {"default": "", "multiline": True, "dynamicPrompts": True}),
            "select_style": (cls.getStyleList(),)
  • clip - CLIP from the model
  • positive_prompt - text for the positive base prompt
  • negative_prompt - text for the negative base prompt
  • select_style - choose the style you want to use

Outputs

  • CONDITIONING - the first conditioning with style for positive prompt
  • CONDITIONING - the second conditioning with style for negative prompt