CfgScheduleHookProvider

Documentation

• Class name: CfgScheduleHookProvider
• Category: ImpactPack/Upscale
• Output node: False

The CfgScheduleHookProvider node is designed to create configuration schedule hooks based on a specified iteration schedule and target configuration. It aims to dynamically adjust the configuration during the iteration process to achieve desired outcomes.

Input types

Required

• schedule_for_iteration
  • Specifies the iteration schedule to use for adjusting the configuration. It determines how the configuration changes over time.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: Tuple[str]
• target_cfg
  • The target configuration value to reach by the end of the iteration process. It influences the adjustment of the configuration over time.
  • Comfy dtype: FLOAT
  • Python dtype: float

Output types

• pk_hook
  • Comfy dtype: PK_HOOK
  • Produces a hook that can be used to adjust the configuration during the iteration process.
  • Python dtype: Tuple[PixelKSampleHook]

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class CfgScheduleHookProvider:
    schedules = ["simple"]

    @classmethod
    def INPUT_TYPES(s):
        return {"required": {
                     "schedule_for_iteration": (s.schedules,),
                     "target_cfg": ("FLOAT", {"default": 3.0, "min": 0.0, "max": 100.0}),
                    },
                }

    RETURN_TYPES = ("PK_HOOK",)
    FUNCTION = "doit"

    CATEGORY = "ImpactPack/Upscale"

    def doit(self, schedule_for_iteration, target_cfg):
        hook = None
        if schedule_for_iteration == "simple":
            hook = hooks.SimpleCfgScheduleHook(target_cfg)

        return (hook, )