UpscaleModelClamp

Documentation

• Class name: UpscaleModelClamp
• Category: clamp
• Output node: False

The UpscaleModelClamp node is designed to pass through upscale models without modification, serving as a placeholder or checkpoint within a processing pipeline that involves model manipulation.

Input types

Required

• upscale_model
  • The upscale model to be passed through the node. It acts as a direct input for potential further processing or utilization within the pipeline.
  • Comfy dtype: UPSCALE_MODEL
  • Python dtype: torch.nn.Module

Output types

• upscale_model
  • Comfy dtype: UPSCALE_MODEL
  • The unaltered upscale model that was input into the node, facilitating seamless integration into subsequent stages of the pipeline.
  • Python dtype: torch.nn.Module

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class UpscaleModelClamp:
    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "upscale_model": ("UPSCALE_MODEL",),
            },
        }

    RETURN_TYPES = ("UPSCALE_MODEL",)
    FUNCTION = "node"
    CATEGORY = "clamp"

    def node(self, upscale_model):
        return (upscale_model,)