Default Weights 🛂🅐🅒🅝

Documentation

• Class name: ACN_DefaultUniversalWeights
• Category: Adv-ControlNet 🛂🅐🅒🅝/weights
• Output node: False

This node specializes in loading and configuring default universal weights for the Advanced ControlNet system, facilitating the customization and optimization of weight parameters for enhanced control in text-to-image adaptation processes.

Input types

Optional

• cn_extras
  • Allows for the inclusion of additional, custom weight parameters, offering extended customization capabilities for the control network.
  • Comfy dtype: CN_WEIGHTS_EXTRAS
  • Python dtype: dict[str]
• autosize
  • Configures automatic sizing for the control network, optimizing its structure and parameters for improved performance.
  • Comfy dtype: ACNAUTOSIZE
  • Python dtype: {'padding': int}

Output types

• CN_WEIGHTS
  • Comfy dtype: CONTROL_NET_WEIGHTS
  • Outputs the configured control net weights, ready for use in the Advanced ControlNet system.
  • Python dtype: ControlWeights
• TK_SHORTCUT
  • Comfy dtype: TIMESTEP_KEYFRAME
  • Provides a shortcut to timestep keyframe configurations, facilitating efficient integration and application within the system.
  • Python dtype: TimestepKeyframeGroup

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class DefaultWeights:
    @classmethod
    def INPUT_TYPES(s):
        return {
            "optional": {
                "cn_extras": ("CN_WEIGHTS_EXTRAS",),
                "autosize": ("ACNAUTOSIZE", {"padding": 0}),
            }
        }

    RETURN_TYPES = ("CONTROL_NET_WEIGHTS", "TIMESTEP_KEYFRAME",)
    RETURN_NAMES = WEIGHTS_RETURN_NAMES
    FUNCTION = "load_weights"

    CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights"

    def load_weights(self, cn_extras: dict[str]={}):
        weights = ControlWeights.default(extras=cn_extras)
        return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))