IPAdapter InsightFace Loader

Documentation

Class name: IPAdapterInsightFaceLoader
Category: ipadapter/loaders
Output node: False

The IPAdapterInsightFaceLoader node is designed to load the InsightFace model based on the specified provider. It facilitates the integration of facial recognition capabilities into the IPAdapter framework, enabling advanced face analysis and processing functionalities.

Input types

Required

provider
- Specifies the computing platform (CPU, CUDA, ROCM) for running the InsightFace model. The choice of provider directly influences the model's performance and compatibility with different hardware environments, ultimately affecting the efficiency and speed of facial recognition tasks.
- Comfy dtype: COMBO[STRING]
- Python dtype: Tuple[List[str]]

Output types

insightface
- Comfy dtype: INSIGHTFACE
- Returns an instance of the InsightFace model, ready for facial recognition tasks.
- Python dtype: Tuple[FaceAnalysis]

Usage tips

Infra type: CPU
Common nodes: unknown

Source code

class IPAdapterInsightFaceLoader:
    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "provider": (["CPU", "CUDA", "ROCM"], ),
            },
        }

    RETURN_TYPES = ("INSIGHTFACE",)
    FUNCTION = "load_insightface"
    CATEGORY = "ipadapter/loaders"

    def load_insightface(self, provider):
        return (insightface_loader(provider),)

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