1.6 KiB
1.6 KiB
Documentation
- Class name: LoadFaceModel
- Category: 🌌 ReActor
- Output node: False
- Repo Ref: https://github.com/Gourieff/comfyui-reactor-node.git
该节点便于加载和准备面部识别模型,这对于后续的面部处理任务至关重要。它封装了模型检索的复杂性,并确保基于输入规格使用适当的模型,从而增强了系统的灵活性和适应性。
Input types
Required
- face_model
- ‘face_model’参数至关重要,因为它决定了节点将加载哪个面部识别模型。它通过确定后续操作中将应用的特定特征和算法,影响整个处理流程。
- Comfy dtype: COMBO[get_model_names(get_facemodels())]
- Python dtype: Union[str, None]
Output types
- FACE_MODEL
- 输出代表加载的面部识别模型,这是进一步面部分析和处理任务的关键组成部分。它封装了模型学习到的特征,准备应用于下游操作。
- Comfy dtype: Face
- Python dtype: insightface.app.common.Face
Usage tips
- Infra type: CPU
Source code
class LoadFaceModel:
@classmethod
def INPUT_TYPES(s):
return {'required': {'face_model': (get_model_names(get_facemodels),)}}
RETURN_TYPES = ('FACE_MODEL',)
FUNCTION = 'load_model'
CATEGORY = '🌌 ReActor'
def load_model(self, face_model):
self.face_model = face_model
self.face_models_path = FACE_MODELS_PATH
if self.face_model != 'none':
face_model_path = os.path.join(self.face_models_path, self.face_model)
out = load_face_model(face_model_path)
else:
out = None
return (out,)