DetailerHookCombine

Documentation

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

The DetailerHookCombine node is designed to enhance the detail processing capabilities of image generation models by combining the functionalities of two distinct detailer hooks. This node sequentially applies the cycle_latent and post_detection methods of each hook to the input data, effectively integrating their individual effects to produce more refined and detailed outputs.

Input types

Required

• hook1
  • The first detailer hook to be combined. It contributes to the initial phase of detail enhancement by applying its cycle_latent and post_detection methods to the input data.
  • Comfy dtype: DETAILER_HOOK
  • Python dtype: DetailerHook
• hook2
  • The second detailer hook to be combined. It further processes the data already enhanced by the first hook, applying its own cycle_latent and post_detection methods to achieve additional detail refinement.
  • Comfy dtype: DETAILER_HOOK
  • Python dtype: DetailerHook

Output types

• detailer_hook
  • Comfy dtype: DETAILER_HOOK
  • The output of the DetailerHookCombine node, which represents the enhanced and refined data after the combined effects of the two detailer hooks have been applied.
  • Python dtype: DetailerHook

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class DetailerHookCombine:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": {
                     "hook1": ("DETAILER_HOOK",),
                     "hook2": ("DETAILER_HOOK",),
                    },
                }

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

    CATEGORY = "ImpactPack/Upscale"

    def doit(self, hook1, hook2):
        hook = hooks.DetailerHookCombine(hook1, hook2)
        return (hook, )