Force Default Weights 🛂🅐🅒🅝

Documentation

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

This node is designed to generate a default set of universal weights for advanced control networks. It focuses on providing a baseline weight configuration that can be applied across various scenarios, ensuring a consistent starting point for further customization and optimization.

Input types

Output types

• CN_WEIGHTS
  • Comfy dtype: CONTROL_NET_WEIGHTS
  • The generated universal control network weights, ready for application within advanced control network configurations.
  • Python dtype: ControlWeights
• TK_SHORTCUT
  • Comfy dtype: TIMESTEP_KEYFRAME
  • A timestep keyframe group that incorporates the generated control weights, facilitating their integration into the network's temporal dynamics.
  • Python dtype: TimestepKeyframeGroup

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class DefaultWeights:
    @classmethod
    def INPUT_TYPES(s):
        return {
        }

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

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

    def load_weights(self):
        weights = ControlWeights.default()
        return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))