Prompts

Documentation

• Class name: SeargeInput1
• Category: Searge/_deprecated_/UI/Inputs
• Output node: False

SeargeInput1 is designed to aggregate and organize various textual prompts and styles into a unified parameter set for further processing. It serves as a multiplexer, combining inputs related to main and secondary prompts, style descriptions, and negative prompts and styles, along with optional image and mask inputs, into a single, structured output.

Input types

Required

• main_prompt
  • The primary text prompt for generating or influencing content. It serves as the main input for content creation or modification.
  • Comfy dtype: STRING
  • Python dtype: str
• secondary_prompt
  • A supplementary text prompt that provides additional context or direction alongside the main prompt.
  • Comfy dtype: STRING
  • Python dtype: str
• style_prompt
  • A text prompt that specifies the desired style or tone for the content being generated or modified.
  • Comfy dtype: STRING
  • Python dtype: str
• negative_prompt
  • A text prompt that indicates what themes or elements should be avoided in the generated content.
  • Comfy dtype: STRING
  • Python dtype: str
• negative_style
  • A text prompt that specifies styles or tones to be avoided in the content creation process.
  • Comfy dtype: STRING
  • Python dtype: str

Optional

• inputs
  • An optional parameter for passing in previously defined inputs, allowing for dynamic input aggregation and modification.
  • Comfy dtype: PARAMETER_INPUTS
  • Python dtype: dict
• image
  • An optional image input that can be used to influence or guide the content generation process.
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor
• mask
  • An optional mask input for the image, used to specify areas of interest or exclusion in content generation.
  • Comfy dtype: MASK
  • Python dtype: torch.Tensor

Output types

• inputs
  • Comfy dtype: PARAMETER_INPUTS
  • The aggregated set of parameters, including prompts, styles, and optional image and mask inputs, structured for further processing.
  • Python dtype: dict

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class SeargeInput1:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": {
            "main_prompt": ("STRING", {"multiline": True, "default": ""}),
            "secondary_prompt": ("STRING", {"multiline": True, "default": ""}),
            "style_prompt": ("STRING", {"multiline": True, "default": ""}),
            "negative_prompt": ("STRING", {"multiline": True, "default": ""}),
            "negative_style": ("STRING", {"multiline": True, "default": ""}),
        },
            "optional": {
                "inputs": ("PARAMETER_INPUTS",),
                "image": ("IMAGE",),
                "mask": ("MASK",),
            },
        }

    RETURN_TYPES = ("PARAMETER_INPUTS",)
    RETURN_NAMES = ("inputs",)
    FUNCTION = "mux"

    CATEGORY = "Searge/_deprecated_/UI/Inputs"

    def mux(self, main_prompt, secondary_prompt, style_prompt, negative_prompt, negative_style, inputs=None,
            image=None, mask=None):

        if inputs is None:
            parameters = {}
        else:
            parameters = inputs

        parameters["main_prompt"] = main_prompt
        parameters["secondary_prompt"] = secondary_prompt
        parameters["style_prompt"] = style_prompt
        parameters["negative_prompt"] = negative_prompt
        parameters["negative_style"] = negative_style
        parameters["image"] = image
        parameters["mask"] = mask

        return (parameters,)