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import os
import json
import math
import numbers
import args_manager
import modules.flags
import modules.sdxl_styles
from modules.model_loader import load_file_from_url
from modules.util import get_files_from_folder
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(f'Failed to load config file "{config_path}" . The reason is: {str(e)}')
print('Please make sure that:')
print(f'1. The file "{config_path}" is a valid text file, and you have access to read it.')
print('2. Use "\\\\" instead of "\\" when describing paths.')
print('3. There is no "," before the last "}".')
print('4. All key/value formats are correct.')
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):
preset_path = os.path.abspath(f'./presets/{preset}.json')
try:
if os.path.exists(preset_path):
with open(preset_path, "r", encoding="utf-8") as json_file:
config_dict.update(json.load(json_file))
print(f'Loaded preset: {preset_path}')
else:
raise FileNotFoundError
except Exception as e:
print(f'Load preset [{preset_path}] failed')
print(e)
def get_dir_or_set_default(key, default_value):
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
else:
if v is not None:
print(f'Failed to load config key: {json.dumps({key:v})} is invalid or does not exist; will use {json.dumps({key:default_value})} instead.')
dp = os.path.abspath(os.path.join(os.path.dirname(__file__), default_value))
os.makedirs(dp, exist_ok=True)
config_dict[key] = dp
return dp
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
if key not in visited_keys:
visited_keys.append(key)
if key not in config_dict:
config_dict[key] = default_value
return default_value
v = config_dict.get(key, None)
if not disable_empty_as_none:
if v is None or v == '':
v = 'None'
if validator(v):
return v
else:
if v is not None:
print(f'Failed to load config key: {json.dumps({key:v})} is invalid; will use {json.dumps({key:default_value})} instead.')
config_dict[key] = default_value
return default_value
default_base_model_name = get_config_item_or_set_default(
key='default_model',
default_value='juggernautXL_version6Rundiffusion.safetensors',
validator=lambda x: isinstance(x, str)
)
default_refiner_model_name = get_config_item_or_set_default(
key='default_refiner',
default_value='None',
validator=lambda x: isinstance(x, str)
)
default_refiner_switch = get_config_item_or_set_default(
key='default_refiner_switch',
default_value=0.5,
validator=lambda x: isinstance(x, numbers.Number) and 0 <= x <= 1
)
default_loras = get_config_item_or_set_default(
key='default_loras',
default_value=[
[
"sd_xl_offset_example-lora_1.0.safetensors",
0.1
],
[
"None",
1.0
],
[
"None",
1.0
],
[
"None",
1.0
],
[
"None",
1.0
]
],
validator=lambda x: isinstance(x, list) and all(len(y) == 2 and isinstance(y[0], str) and isinstance(y[1], numbers.Number) for y in x)
)
default_cfg_scale = get_config_item_or_set_default(
key='default_cfg_scale',
default_value=4.0,
validator=lambda x: isinstance(x, numbers.Number)
)
default_sample_sharpness = get_config_item_or_set_default(
key='default_sample_sharpness',
default_value=2.0,
validator=lambda x: isinstance(x, numbers.Number)
)
default_sampler = get_config_item_or_set_default(
key='default_sampler',
default_value='dpmpp_2m_sde_gpu',
validator=lambda x: x in modules.flags.sampler_list
)
default_scheduler = get_config_item_or_set_default(
key='default_scheduler',
default_value='karras',
validator=lambda x: x in modules.flags.scheduler_list
)
default_styles = get_config_item_or_set_default(
key='default_styles',
default_value=[
"Fooocus V2",
"Fooocus Enhance",
"Fooocus Sharp"
],
validator=lambda x: isinstance(x, list) and all(y in modules.sdxl_styles.legal_style_names for y in x)
)
default_prompt_negative = get_config_item_or_set_default(
key='default_prompt_negative',
default_value='',
validator=lambda x: isinstance(x, str),
disable_empty_as_none=True
)
default_prompt = get_config_item_or_set_default(
key='default_prompt',
default_value='',
validator=lambda x: isinstance(x, str),
disable_empty_as_none=True
)
default_performance = get_config_item_or_set_default(
key='default_performance',
default_value='Speed',
validator=lambda x: x in modules.flags.performance_selections
)
default_advanced_checkbox = get_config_item_or_set_default(
key='default_advanced_checkbox',
default_value=False,
validator=lambda x: isinstance(x, bool)
)
default_image_number = get_config_item_or_set_default(
key='default_image_number',
default_value=2,
validator=lambda x: isinstance(x, int) and 1 <= x <= 32
)
checkpoint_downloads = get_config_item_or_set_default(
key='checkpoint_downloads',
default_value={
"juggernautXL_version6Rundiffusion.safetensors": "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/juggernautXL_version6Rundiffusion.safetensors"
},
validator=lambda x: isinstance(x, dict) and all(isinstance(k, str) and isinstance(v, str) for k, v in x.items())
)
lora_downloads = get_config_item_or_set_default(
key='lora_downloads',
default_value={
"sd_xl_offset_example-lora_1.0.safetensors": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors"
},
validator=lambda x: isinstance(x, dict) and all(isinstance(k, str) and isinstance(v, str) for k, v in x.items())
)
embeddings_downloads = get_config_item_or_set_default(
key='embeddings_downloads',
default_value={},
validator=lambda x: isinstance(x, dict) and all(isinstance(k, str) and isinstance(v, str) for k, v in x.items())
)
available_aspect_ratios = get_config_item_or_set_default(
key='available_aspect_ratios',
default_value=[
'704*1408', '704*1344', '768*1344', '768*1280', '832*1216', '832*1152',
'896*1152', '896*1088', '960*1088', '960*1024', '1024*1024', '1024*960',
'1088*960', '1088*896', '1152*896', '1152*832', '1216*832', '1280*768',
'1344*768', '1344*704', '1408*704', '1472*704', '1536*640', '1600*640',
'1664*576', '1728*576'
],
validator=lambda x: isinstance(x, list) and all('*' in v for v in x) and len(x) > 1
)
default_aspect_ratio = get_config_item_or_set_default(
key='default_aspect_ratio',
default_value='1152*896' if '1152*896' in available_aspect_ratios else available_aspect_ratios[0],
validator=lambda x: x in available_aspect_ratios
)
default_inpaint_engine_version = get_config_item_or_set_default(
key='default_inpaint_engine_version',
default_value='v2.6',
validator=lambda x: x in modules.flags.inpaint_engine_versions
)
default_cfg_tsnr = get_config_item_or_set_default(
key='default_cfg_tsnr',
default_value=7.0,
validator=lambda x: isinstance(x, numbers.Number)
)
default_overwrite_step = get_config_item_or_set_default(
key='default_overwrite_step',
default_value=-1,
validator=lambda x: isinstance(x, int)
)
default_overwrite_switch = get_config_item_or_set_default(
key='default_overwrite_switch',
default_value=-1,
validator=lambda x: isinstance(x, int)
)
example_inpaint_prompts = get_config_item_or_set_default(
key='example_inpaint_prompts',
default_value=[
'highly detailed face', 'detailed girl face', 'detailed man face', 'detailed hand', 'beautiful eyes'
],
validator=lambda x: isinstance(x, list) and all(isinstance(v, str) for v in x)
)
example_inpaint_prompts = [[x] for x in example_inpaint_prompts]
config_dict["default_loras"] = default_loras = default_loras[:5] + [['None', 1.0] for _ in range(5 - len(default_loras))]
possible_preset_keys = [
"default_model",
"default_refiner",
"default_refiner_switch",
"default_loras",
"default_cfg_scale",
"default_sample_sharpness",
"default_sampler",
"default_scheduler",
"default_performance",
"default_prompt",
"default_prompt_negative",
"default_styles",
"default_aspect_ratio",
"checkpoint_downloads",
"embeddings_downloads",
"lora_downloads",
]
REWRITE_PRESET = False
if REWRITE_PRESET and isinstance(args_manager.args.preset, str):
save_path = 'presets/' + args_manager.args.preset + '.json'
with open(save_path, "w", encoding="utf-8") as json_file:
json.dump({k: config_dict[k] for k in possible_preset_keys}, json_file, indent=4)
print(f'Preset saved to {save_path}. Exiting ...')
exit(0)
def add_ratio(x):
a, b = x.replace('*', ' ').split(' ')[:2]
a, b = int(a), int(b)
g = math.gcd(a, b)
return f'{a}×{b} <span style="color: grey;"> \U00002223 {a // g}:{b // g}</span>'
default_aspect_ratio = add_ratio(default_aspect_ratio)
available_aspect_ratios = [add_ratio(x) for x in available_aspect_ratios]
# Only write config in the first launch.
if not os.path.exists(config_path):
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)
# Always write tutorials.
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'
+ 'Remember to split the paths with "\\\\" rather than "\\", '
'and there is no "," before the last "}". \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)
model_filenames = []
lora_filenames = []
def get_model_filenames(folder_path, name_filter=None):
return get_files_from_folder(folder_path, ['.pth', '.ckpt', '.bin', '.safetensors', '.fooocus.patch'], name_filter)
def update_all_model_names():
global model_filenames, lora_filenames
model_filenames = get_model_filenames(path_checkpoints)
lora_filenames = get_model_filenames(path_loras)
return
def downloading_inpaint_models(v):
assert v in modules.flags.inpaint_engine_versions
load_file_from_url(
url='https://huggingface.co/lllyasviel/fooocus_inpaint/resolve/main/fooocus_inpaint_head.pth',
model_dir=path_inpaint,
file_name='fooocus_inpaint_head.pth'
)
head_file = os.path.join(path_inpaint, 'fooocus_inpaint_head.pth')
patch_file = None
if v == 'v1':
load_file_from_url(
url='https://huggingface.co/lllyasviel/fooocus_inpaint/resolve/main/inpaint.fooocus.patch',
model_dir=path_inpaint,
file_name='inpaint.fooocus.patch'
)
patch_file = os.path.join(path_inpaint, 'inpaint.fooocus.patch')
if v == 'v2.5':
load_file_from_url(
url='https://huggingface.co/lllyasviel/fooocus_inpaint/resolve/main/inpaint_v25.fooocus.patch',
model_dir=path_inpaint,
file_name='inpaint_v25.fooocus.patch'
)
patch_file = os.path.join(path_inpaint, 'inpaint_v25.fooocus.patch')
if v == 'v2.6':
load_file_from_url(
url='https://huggingface.co/lllyasviel/fooocus_inpaint/resolve/main/inpaint_v26.fooocus.patch',
model_dir=path_inpaint,
file_name='inpaint_v26.fooocus.patch'
)
patch_file = os.path.join(path_inpaint, 'inpaint_v26.fooocus.patch')
return head_file, patch_file
def downloading_sdxl_lcm_lora():
load_file_from_url(
url='https://huggingface.co/lllyasviel/misc/resolve/main/sdxl_lcm_lora.safetensors',
model_dir=path_loras,
file_name='sdxl_lcm_lora.safetensors'
)
return 'sdxl_lcm_lora.safetensors'
def downloading_controlnet_canny():
load_file_from_url(
url='https://huggingface.co/lllyasviel/misc/resolve/main/control-lora-canny-rank128.safetensors',
model_dir=path_controlnet,
file_name='control-lora-canny-rank128.safetensors'
)
return os.path.join(path_controlnet, 'control-lora-canny-rank128.safetensors')
def downloading_controlnet_cpds():
load_file_from_url(
url='https://huggingface.co/lllyasviel/misc/resolve/main/fooocus_xl_cpds_128.safetensors',
model_dir=path_controlnet,
file_name='fooocus_xl_cpds_128.safetensors'
)
return os.path.join(path_controlnet, 'fooocus_xl_cpds_128.safetensors')
def downloading_ip_adapters(v):
assert v in ['ip', 'face']
results = []
load_file_from_url(
url='https://huggingface.co/lllyasviel/misc/resolve/main/clip_vision_vit_h.safetensors',
model_dir=path_clip_vision,
file_name='clip_vision_vit_h.safetensors'
)
results += [os.path.join(path_clip_vision, 'clip_vision_vit_h.safetensors')]
load_file_from_url(
url='https://huggingface.co/lllyasviel/misc/resolve/main/fooocus_ip_negative.safetensors',
model_dir=path_controlnet,
file_name='fooocus_ip_negative.safetensors'
)
results += [os.path.join(path_controlnet, 'fooocus_ip_negative.safetensors')]
if v == 'ip':
load_file_from_url(
url='https://huggingface.co/lllyasviel/misc/resolve/main/ip-adapter-plus_sdxl_vit-h.bin',
model_dir=path_controlnet,
file_name='ip-adapter-plus_sdxl_vit-h.bin'
)
results += [os.path.join(path_controlnet, 'ip-adapter-plus_sdxl_vit-h.bin')]
if v == 'face':
load_file_from_url(
url='https://huggingface.co/lllyasviel/misc/resolve/main/ip-adapter-plus-face_sdxl_vit-h.bin',
model_dir=path_controlnet,
file_name='ip-adapter-plus-face_sdxl_vit-h.bin'
)
results += [os.path.join(path_controlnet, 'ip-adapter-plus-face_sdxl_vit-h.bin')]
return results
def downloading_upscale_model():
load_file_from_url(
url='https://huggingface.co/lllyasviel/misc/resolve/main/fooocus_upscaler_s409985e5.bin',
model_dir=path_upscale_models,
file_name='fooocus_upscaler_s409985e5.bin'
)
return os.path.join(path_upscale_models, 'fooocus_upscaler_s409985e5.bin')
update_all_model_names()
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