DualCLIPLoader

Documentation

• Class name: DualCLIPLoader
• Category: advanced/loaders
• Output node: False

The DualCLIPLoader node is designed for loading two CLIP models simultaneously, facilitating operations that require the integration or comparison of features from both models.

Input types

Required

• clip_name1
  • Specifies the name of the first CLIP model to be loaded. This parameter is crucial for identifying and retrieving the correct model from a predefined list of available CLIP models.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: str
• clip_name2
  • Specifies the name of the second CLIP model to be loaded. This parameter enables the loading of a second distinct CLIP model for comparative or integrative analysis alongside the first model.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: str

Output types

• clip
  • Comfy dtype: CLIP
  • The output is a combined CLIP model that integrates the features or functionalities of the two specified CLIP models.
  • Python dtype: comfy.sd.CLIP

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class DualCLIPLoader:
    @classmethod
    def INPUT_TYPES(s):
        return {"required": { "clip_name1": (folder_paths.get_filename_list("clip"), ), "clip_name2": (folder_paths.get_filename_list("clip"), ),
                             }}
    RETURN_TYPES = ("CLIP",)
    FUNCTION = "load_clip"

    CATEGORY = "advanced/loaders"

    def load_clip(self, clip_name1, clip_name2):
        clip_path1 = folder_paths.get_full_path("clip", clip_name1)
        clip_path2 = folder_paths.get_full_path("clip", clip_name2)
        clip = comfy.sd.load_clip(ckpt_paths=[clip_path1, clip_path2], embedding_directory=folder_paths.get_folder_paths("embeddings"))
        return (clip,)