CavinHuang-comfyui-nodes-docs/nodes-docs/en-US/ComfyUI_IPAdapter_plus/docs/IPAdapterLoadEmbeds.md

tags

tags
IPAdapter

IPAdapter Load Embeds

Documentation

• Class name: IPAdapterLoadEmbeds
• Category: ipadapter/embeds
• Output node: False

The IPAdapterLoadEmbeds node is designed for loading pre-saved embedding vectors from files with a specific extension, facilitating the reuse of embeddings in image processing applications.

Input types

Required

• embeds
  • Specifies the file names from which to load the embeddings, enabling the selection of specific pre-saved embeddings for use in the node's operation.
  • Comfy dtype: COMBO[STRING]
  • Python dtype: List[str]

Output types

• embeds
  • Comfy dtype: EMBEDS
  • Returns the loaded embedding vectors, making them available for further processing or application within the image generation pipeline.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class IPAdapterLoadEmbeds:
    @classmethod
    def INPUT_TYPES(s):
        input_dir = folder_paths.get_input_directory()
        files = [os.path.relpath(os.path.join(root, file), input_dir) for root, dirs, files in os.walk(input_dir) for file in files if file.endswith('.ipadpt')]
        return {"required": {"embeds": [sorted(files), ]}, }

    RETURN_TYPES = ("EMBEDS", )
    FUNCTION = "load"
    CATEGORY = "ipadapter/embeds"

    def load(self, embeds):
        path = folder_paths.get_annotated_filepath(embeds)
        return (torch.load(path).cpu(), )