Impact Scheduler Adapter

Documentation

• Class name: ImpactSchedulerAdapter
• Category: ImpactPack/Util
• Output node: False

The ImpactSchedulerAdapter node is designed to adapt and select scheduling strategies for various tasks, allowing for dynamic adjustment of scheduling based on specific conditions or preferences.

Input types

Required

• scheduler
  • Specifies the primary scheduler to be used, with an option to default to a pre-defined input if no specific scheduler is provided.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: comfy.samplers.KSampler.SCHEDULERS
• extra_scheduler
  • Allows for the specification of an additional scheduler, offering options such as 'None', 'AYS SDXL', 'AYS SD1', 'AYS SVD', 'GITS[coeff=1.2]', to override the primary scheduler if needed.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: List[str]

Output types

• scheduler
  • Comfy dtype: COMBO[STRING]
  • Outputs the selected scheduler, which could either be the primary scheduler or an overridden scheduler specified by the 'extra_scheduler' input.
  • Python dtype: Tuple[str]

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class ImpactSchedulerAdapter:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": {
            "scheduler": (comfy.samplers.KSampler.SCHEDULERS, {"defaultInput": True, }),
            "extra_scheduler": (['None', 'AYS SDXL', 'AYS SD1', 'AYS SVD', 'GITS[coeff=1.2]'],),
        }}

    CATEGORY = "ImpactPack/Util"

    RETURN_TYPES = (core.SCHEDULERS,)
    RETURN_NAMES = ("scheduler",)

    FUNCTION = "doit"

    def doit(self, scheduler, extra_scheduler):
        if extra_scheduler != 'None':
            return (extra_scheduler,)

        return (scheduler,)