Advanced Parameters

Documentation

• Class name: SeargeOutput3
• Category: Searge/_deprecated_/UI/Outputs
• Output node: False

SeargeOutput3 is designed to demultiplex and extract advanced parameters from a given input, facilitating the customization and fine-tuning of generative models or processes.

Input types

Required

• parameters
  • Represents the advanced parameters for generative processes, playing a crucial role in customizing and fine-tuning the output.
  • Comfy dtype: PARAMETERS
  • Python dtype: Dict[str, Any]

Output types

• parameters
  • Comfy dtype: PARAMETERS
  • Returns the original set of advanced parameters provided as input.
  • Python dtype: Dict[str, Any]
• denoise
  • Comfy dtype: FLOAT
  • Specifies the denoise level for the generative process, influencing the clarity and detail of the generated output.
  • Python dtype: float
• base_ratio
  • Comfy dtype: FLOAT
  • Determines the base model's contribution ratio in the generative process, balancing between base and refiner models.
  • Python dtype: float
• refiner_strength
  • Comfy dtype: FLOAT
  • Adjusts the strength of the refiner model, affecting the refinement level of the generated output.
  • Python dtype: float
• noise_offset
  • Comfy dtype: INT
  • Controls the offset of noise applied during the generation, impacting the variation and uniqueness of the output.
  • Python dtype: int
• precondition_steps
  • Comfy dtype: INT
  • Defines the number of preconditioning steps to prepare the model before generation, optimizing the output quality.
  • Python dtype: int
• batch_size
  • Comfy dtype: INT
  • Sets the batch size for the generation process, affecting the processing speed and resource utilization.
  • Python dtype: int
• upscale_resolution_factor
  • Comfy dtype: FLOAT
  • Specifies the factor by which the output resolution is upscaled, enhancing the detail and quality of the final image.
  • Python dtype: float
• save_upscaled_image
  • Comfy dtype: ENABLE_STATE
  • Indicates whether the upscaled image should be saved, providing an option to retain higher resolution outputs.
  • Python dtype: bool

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class SeargeOutput3:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": {
            "parameters": ("PARAMETERS",),
        },
        }

    RETURN_TYPES = ("PARAMETERS", "FLOAT", "FLOAT", "FLOAT", "INT", "INT", "INT", "FLOAT", "ENABLE_STATE",)
    RETURN_NAMES = ("parameters", "denoise", "base_ratio", "refiner_strength", "noise_offset", "precondition_steps",
                    "batch_size", "upscale_resolution_factor", "save_upscaled_image",)
    FUNCTION = "demux"

    CATEGORY = "Searge/_deprecated_/UI/Outputs"

    def demux(self, parameters):
        denoise = parameters["denoise"]
        base_ratio = parameters["base_ratio"]
        refiner_strength = parameters["refiner_strength"]
        noise_offset = parameters["noise_offset"]
        precondition_steps = parameters["precondition_steps"]
        batch_size = parameters["batch_size"]
        upscale_resolution_factor = parameters["upscale_resolution_factor"]
        save_upscaled_image = parameters["save_upscaled_image"]

        return (parameters, denoise, base_ratio, refiner_strength, noise_offset, precondition_steps, batch_size,
                upscale_resolution_factor, save_upscaled_image,)