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Merge pull request #11199 from akx/makedirs 

Use os.makedirs(..., exist_ok=True)
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AUTOMATIC1111 2023-06-27 06:39:51 +03:00 committed by GitHub
parent 001cbd369d 165ab44f03
commit a9e7a3db3e
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GPG Key ID: 4AEE18F83AFDEB23
6 changed files with 6 additions and 15 deletions
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4
modules/codeformer_model.py
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@ -20,9 +20,7 @@ codeformer = None
def setup_model(dirname): def setup_model(dirname):
global model_path os.makedirs(model_path, exist_ok=True)
if not os.path.exists(model_path):
os.makedirs(model_path)
path = modules.paths.paths.get("CodeFormer", None) path = modules.paths.paths.get("CodeFormer", None)
if path is None: if path is None:

3
modules/extensions.py
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@ -7,8 +7,7 @@ from modules.paths_internal import extensions_dir, extensions_builtin_dir, scrip
extensions = [] extensions = []
if not os.path.exists(extensions_dir): os.makedirs(extensions_dir, exist_ok=True)
os.makedirs(extensions_dir)
def active(): def active():

5
modules/gfpgan_model.py
View File

@ -70,11 +70,8 @@ gfpgan_constructor = None
def setup_model(dirname): def setup_model(dirname):
global model_path
if not os.path.exists(model_path):
os.makedirs(model_path)
try: try:
os.makedirs(model_path, exist_ok=True)
from gfpgan import GFPGANer from gfpgan import GFPGANer
from facexlib import detection, parsing # noqa: F401 from facexlib import detection, parsing # noqa: F401
global user_path global user_path

3
modules/modelloader.py
View File

@ -95,8 +95,7 @@ def cleanup_models():
def move_files(src_path: str, dest_path: str, ext_filter: str = None): def move_files(src_path: str, dest_path: str, ext_filter: str = None):
try: try:
if not os.path.exists(dest_path): os.makedirs(dest_path, exist_ok=True)
os.makedirs(dest_path)
if os.path.exists(src_path): if os.path.exists(src_path):
for file in os.listdir(src_path): for file in os.listdir(src_path):
fullpath = os.path.join(src_path, file) fullpath = os.path.join(src_path, file)

3
modules/sd_models.py
View File

@ -95,8 +95,7 @@ except Exception:
def setup_model(): def setup_model():
if not os.path.exists(model_path): os.makedirs(model_path, exist_ok=True)
os.makedirs(model_path)
enable_midas_autodownload() enable_midas_autodownload()

3
modules/textual_inversion/autocrop.py
View File

@ -298,8 +298,7 @@ def download_and_cache_models(dirname):
download_url = 'https://github.com/opencv/opencv_zoo/blob/91fb0290f50896f38a0ab1e558b74b16bc009428/models/face_detection_yunet/face_detection_yunet_2022mar.onnx?raw=true' download_url = 'https://github.com/opencv/opencv_zoo/blob/91fb0290f50896f38a0ab1e558b74b16bc009428/models/face_detection_yunet/face_detection_yunet_2022mar.onnx?raw=true'
model_file_name = 'face_detection_yunet.onnx' model_file_name = 'face_detection_yunet.onnx'
if not os.path.exists(dirname): os.makedirs(dirname, exist_ok=True)
os.makedirs(dirname)
cache_file = os.path.join(dirname, model_file_name) cache_file = os.path.join(dirname, model_file_name)
if not os.path.exists(cache_file): if not os.path.exists(cache_file):