IPAdapter from Params

Documentation

Class name: IPAdapterFromParams
Category: ipadapter/params
Output node: False

The IPAdapterFromParams node is designed to dynamically configure and apply image processing adapters based on a set of parameters. It allows for the customization of image processing techniques by combining various embedding strategies and scaling methods, facilitating advanced image manipulation and enhancement.

Input types

Required

model
- Specifies the model to which the image processing adapter will be applied, serving as the foundation for the adaptation process.
- Comfy dtype: MODEL
- Python dtype: str
ipadapter
- Identifies the specific image processing adapter to be used, dictating the core processing technique.
- Comfy dtype: IPADAPTER
- Python dtype: str
ipadapter_params
- Contains parameters that fine-tune the image processing adapter's behavior, offering detailed control over the adaptation process.
- Comfy dtype: IPADAPTER_PARAMS
- Python dtype: dict
combine_embeds
- Determines how multiple embeddings are combined, affecting the final image output through various strategies like concatenation or averaging.
- Comfy dtype: COMBO[STRING]
- Python dtype: str
embeds_scaling
- Controls the scaling of embeddings, influencing the adaptation's impact on the image based on selected methods.
- Comfy dtype: COMBO[STRING]
- Python dtype: str

Optional

image_negative
- Optionally provides a negative image input, used to inversely influence the adaptation process.
- Comfy dtype: IMAGE
- Python dtype: str
clip_vision
- Optionally integrates CLIP vision embeddings, enhancing the adaptation with semantic understanding from textual descriptions.
- Comfy dtype: CLIP_VISION
- Python dtype: str

Output types

model
- Comfy dtype: MODEL
- Outputs the adapted model, reflecting the applied image processing techniques and parameter adjustments.
- Python dtype: str

Usage tips

Infra type: CPU
Common nodes: unknown

Source code

class IPAdapterFromParams(IPAdapterAdvanced):
    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "model": ("MODEL", ),
                "ipadapter": ("IPADAPTER", ),
                "ipadapter_params": ("IPADAPTER_PARAMS", ),
                "combine_embeds": (["concat", "add", "subtract", "average", "norm average"],),
                "embeds_scaling": (['V only', 'K+V', 'K+V w/ C penalty', 'K+mean(V) w/ C penalty'], ),
            },
            "optional": {
                "image_negative": ("IMAGE",),
                "clip_vision": ("CLIP_VISION",),
            }
        }

    CATEGORY = "ipadapter/params"

2.8 KiB Raw Permalink Blame History