new config

This commit is contained in:
lllyasviel
2023-11-11 07:45:07 -08:00
parent e17bbdbf5f
commit 316ac6fafa
5 changed files with 118 additions and 44 deletions
+88 -25
View File
@@ -7,18 +7,72 @@ import modules.sdxl_styles
from modules.model_loader import load_file_from_url
from modules.util import get_files_from_folder
config_path = "user_path_config.txt"
config_path = os.path.abspath("./config.txt")
config_example_path = os.path.abspath("config_modification_tutorial.txt")
config_dict = {}
always_save_keys = []
visited_keys = []
try:
if os.path.exists(config_path):
with open(config_path, "r", encoding="utf-8") as json_file:
config_dict = json.load(json_file)
always_save_keys = list(config_dict.keys())
except Exception as e:
print('Load path config failed')
print(e)
def try_load_deprecated_user_path_config():
global config_dict
if not os.path.exists('user_path_config.txt'):
return
try:
deprecated_config_dict = json.load(open('user_path_config.txt', "r", encoding="utf-8"))
def replace_config(old_key, new_key):
if old_key in deprecated_config_dict:
config_dict[new_key] = deprecated_config_dict[old_key]
del deprecated_config_dict[old_key]
replace_config('modelfile_path', 'path_checkpoints')
replace_config('lorafile_path', 'path_loras')
replace_config('embeddings_path', 'path_embeddings')
replace_config('vae_approx_path', 'path_vae_approx')
replace_config('upscale_models_path', 'path_upscale_models')
replace_config('inpaint_models_path', 'path_inpaint')
replace_config('controlnet_models_path', 'path_controlnet')
replace_config('clip_vision_models_path', 'path_clip_vision')
replace_config('fooocus_expansion_path', 'path_fooocus_expansion')
replace_config('temp_outputs_path', 'path_outputs')
if deprecated_config_dict.get("default_model", None) == 'juggernautXL_version6Rundiffusion.safetensors':
os.replace('user_path_config.txt', 'user_path_config-deprecated.txt')
print('Config updated successfully in silence. '
'A backup of previous config is written to "user_path_config-deprecated.txt".')
return
if input("Newer models and configs are available. "
"Download and update files? [Y/n]:") in ['n', 'N', 'No', 'no', 'NO']:
config_dict.update(deprecated_config_dict)
print('Loading using deprecated old models and deprecated old configs.')
return
else:
os.replace('user_path_config.txt', 'user_path_config-deprecated.txt')
print('Config updated successfully by user. '
'A backup of previous config is written to "user_path_config-deprecated.txt".')
return
except Exception as e:
print('Processing deprecated config failed')
print(e)
return
try_load_deprecated_user_path_config()
preset = args_manager.args.preset
if isinstance(preset, str):
@@ -38,8 +92,14 @@ if preset is not None:
def get_dir_or_set_default(key, default_value):
global config_dict, visited_keys
visited_keys.append(key)
global config_dict, visited_keys, always_save_keys
if key not in visited_keys:
visited_keys.append(key)
if key not in always_save_keys:
always_save_keys.append(key)
v = config_dict.get(key, None)
if isinstance(v, str) and os.path.exists(v) and os.path.isdir(v):
return v
@@ -50,21 +110,24 @@ def get_dir_or_set_default(key, default_value):
return dp
path_checkpoints = get_dir_or_set_default('modelfile_path', '../models/checkpoints/')
path_loras = get_dir_or_set_default('lorafile_path', '../models/loras/')
path_embeddings = get_dir_or_set_default('embeddings_path', '../models/embeddings/')
path_vae_approx = get_dir_or_set_default('vae_approx_path', '../models/vae_approx/')
path_upscale_models = get_dir_or_set_default('upscale_models_path', '../models/upscale_models/')
path_inpaint = get_dir_or_set_default('inpaint_models_path', '../models/inpaint/')
path_controlnet = get_dir_or_set_default('controlnet_models_path', '../models/controlnet/')
path_clip_vision = get_dir_or_set_default('clip_vision_models_path', '../models/clip_vision/')
path_fooocus_expansion = get_dir_or_set_default('fooocus_expansion_path', '../models/prompt_expansion/fooocus_expansion')
path_outputs = get_dir_or_set_default('temp_outputs_path', '../outputs/')
path_checkpoints = get_dir_or_set_default('path_checkpoints', '../models/checkpoints/')
path_loras = get_dir_or_set_default('path_loras', '../models/loras/')
path_embeddings = get_dir_or_set_default('path_embeddings', '../models/embeddings/')
path_vae_approx = get_dir_or_set_default('path_vae_approx', '../models/vae_approx/')
path_upscale_models = get_dir_or_set_default('path_upscale_models', '../models/upscale_models/')
path_inpaint = get_dir_or_set_default('path_inpaint', '../models/inpaint/')
path_controlnet = get_dir_or_set_default('path_controlnet', '../models/controlnet/')
path_clip_vision = get_dir_or_set_default('path_clip_vision', '../models/clip_vision/')
path_fooocus_expansion = get_dir_or_set_default('path_fooocus_expansion', '../models/prompt_expansion/fooocus_expansion')
path_outputs = get_dir_or_set_default('path_outputs', '../outputs/')
def get_config_item_or_set_default(key, default_value, validator, disable_empty_as_none=False):
global config_dict, visited_keys
visited_keys.append(key)
if key not in visited_keys:
visited_keys.append(key)
if key not in config_dict:
config_dict[key] = default_value
return default_value
@@ -184,10 +247,17 @@ default_aspect_ratio = get_config_item_or_set_default(
validator=lambda x: x in available_aspect_ratios
)
if preset is None:
# Do not overwrite user config if preset is applied.
with open(config_path, "w", encoding="utf-8") as json_file:
json.dump({k: config_dict[k] for k in visited_keys}, json_file, indent=4)
with open(config_path, "w", encoding="utf-8") as json_file:
json.dump({k: config_dict[k] for k in always_save_keys}, json_file, indent=4)
with open(config_example_path, "w", encoding="utf-8") as json_file:
cpa = config_path.replace("\\", "\\\\")
json_file.write(f'You can modify your "{cpa}" using the below keys, formats, and examples.\n'
f'Do not modify this file. Modifications in this file will not take effect.\n'
f'This file is a tutorial and example. Please edit "{cpa}" to really change any settings.\n'
f'Remember to split the paths with "\\\\" rather than "\\".\n\n\n')
json.dump({k: config_dict[k] for k in visited_keys}, json_file, indent=4)
os.makedirs(path_outputs, exist_ok=True)
@@ -220,13 +290,6 @@ def downloading_inpaint_models(v):
head_file = os.path.join(path_inpaint, 'fooocus_inpaint_head.pth')
patch_file = None
# load_file_from_url(
# url='https://huggingface.co/lllyasviel/Annotators/resolve/main/ControlNetLama.pth',
# model_dir=inpaint_models_path,
# file_name='ControlNetLama.pth'
# )
# lama_file = os.path.join(inpaint_models_path, 'ControlNetLama.pth')
if v == 'v1':
load_file_from_url(
url='https://huggingface.co/lllyasviel/fooocus_inpaint/resolve/main/inpaint.fooocus.patch',