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{
"LoRA_type": "Standard",
"adaptive_noise_scale": 0.006,
"additional_parameters": "",
"block_alphas": "",
"block_dims": "",
"block_lr_zero_threshold": "",
"bucket_no_upscale": true,
"bucket_reso_steps": 64,
"cache_latents": true,
@Poiuytrezay1
Poiuytrezay1 / adverse_cleaner.py
Created November 28, 2023 20:20
Remove adversarial noise from images
import numpy as np
import cv2
import os
import argparse
from pathlib import Path
from cv2.ximgproc import guidedFilter
def main(args):
input = Path(args.input_file_or_dir)
@Poiuytrezay1
Poiuytrezay1 / extract_latents_from_images.py
Created November 7, 2023 17:09
Extract latents from images using VAE or Model
import os
from collections import defaultdict
import torch
import numpy as np
from PIL import Image
import library.model_util as model_util
from torchvision import transforms
DEVICE_CUDA = torch.device("cuda:0")