Files
Vladimir Mandic 8d4ebcd5ef processors multiple fixes
Signed-off-by: Vladimir Mandic <mandic00@live.com>
2026-06-18 11:45:34 +02:00

22 lines
809 B
Python

import numpy as np
from PIL import Image
class NormalBaeDetector:
def __init__(self, model):
self.model = model
@classmethod
def from_pretrained(cls, pretrained_model_or_path="fal/teed", cache_dir=None, local_files_only=False): # pylint: disable=unused-argument
from installer import install
install('controlnet-aux', quiet=True)
from controlnet_aux.normalbae import NormalBaeDetector as _NormalBaeDetector
model = _NormalBaeDetector.from_pretrained(pretrained_model_or_path, filename="5_model.pth")
return cls(model)
def __call__(self, image, output_type="pil", **kwargs):
if isinstance(image, np.ndarray):
image = Image.fromarray(image)
result = self.model(image, output_type=output_type)
return result