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import random | |
import string | |
import os | |
import requests | |
from tqdm import tqdm | |
def randomname(n): | |
randlst = [random.choice(string.ascii_letters + string.digits) for i in range(n)] | |
return ''.join(randlst) | |
def load_lora_model(model_dir): | |
folder = model_dir | |
file_name = 'sdxl_BWLine.safetensors' | |
url = "https://huggingface.co/tori29umai/lineart/resolve/main/sdxl_BWLine.safetensors" | |
file_path = os.path.join(folder, file_name) | |
if not os.path.exists(file_path): | |
response = requests.get(url, stream=True) | |
total_size = int(response.headers.get('content-length', 0)) | |
with open(file_path, 'wb') as f, tqdm( | |
desc=file_name, | |
total=total_size, | |
unit='iB', | |
unit_scale=True, | |
unit_divisor=1024, | |
) as bar: | |
for data in response.iter_content(chunk_size=1024): | |
size = f.write(data) | |
bar.update(size) |