找到roop/predictor.py这个文件，然后将红色标注改成绿色标注内容（0.85改成1），这样的话匹配到不和谐内容阈值就变大了

import threading

import numpy

import opennsfw2

from PIL import Image

from keras import Model

from roop.typing import Frame

PREDICTOR = None

THREAD_LOCK = threading.Lock()

MAX_PROBABILITY = 0.85

MAX_PROBABILITY = 1

def get_predictor() -> Model:

    global PREDICTOR

    with THREAD_LOCK:

        if PREDICTOR is None:

            PREDICTOR = opennsfw2.make_open_nsfw_model()

    return PREDICTOR