Sampler Scheduler Settings (JPS)

Documentation

• Class name: Sampler Scheduler Settings (JPS)
• Category: JPS Nodes/Settings
• Output node: False

This node is designed to facilitate the selection and configuration of samplers and schedulers within a generative pipeline, allowing users to specify and retrieve the settings for various sampling strategies and their corresponding scheduling algorithms.

Input types

Required

• sampler_name
  • Specifies the name of the sampler to be used, playing a crucial role in determining the sampling strategy for the generative process.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: comfy.samplers.KSampler.SAMPLERS
• scheduler
  • Determines the scheduling algorithm to be applied, directly affecting the execution and efficiency of the sampling process.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: comfy.samplers.KSampler.SCHEDULERS

Output types

• sampler_name
  • Comfy dtype: COMBO[STRING]
  • Returns the name of the selected sampler.
  • Python dtype: str
• scheduler
  • Comfy dtype: COMBO[STRING]
  • Returns the selected scheduling algorithm.
  • Python dtype: str

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class Sampler_Scheduler_Settings:
    CATEGORY = 'JPS Nodes/Settings'
    RETURN_TYPES = (comfy.samplers.KSampler.SAMPLERS,comfy.samplers.KSampler.SCHEDULERS,)
    RETURN_NAMES = ("sampler_name","scheduler",)
    FUNCTION = "get_samsched"

    @classmethod
    def INPUT_TYPES(cls):
        return {"required": {"sampler_name": (comfy.samplers.KSampler.SAMPLERS,),"scheduler": (comfy.samplers.KSampler.SCHEDULERS,)}}

    def get_samsched(self, sampler_name, scheduler):
        return (sampler_name, scheduler, )