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import os
import shutil
import json
from os.path import exists
from shared import state
from shared import path_manager
DEFAULT_CNSETTINGS_FILE = "settings/powerup.default"
CNSETTINGS_FILE = "settings/powerup.json"
NEWCN = "Custom..."
# https://huggingface.co/stabilityai/control-lora/tree/main/control-LoRAs-rank128
controlnet_models = {
"canny": "control-lora-canny-rank128.safetensors",
"depth": "control-lora-depth-rank128.safetensors",
"recolour": "control-lora-recolor-rank128.safetensors",
"sketch": "control-lora-sketch-rank128-metadata.safetensors",
"img2img": None,
"upscale": None,
"rembg": None,
"faceswap": None,
}
import json
import os
import shutil
def load_cnsettings():
settings = {}
if not os.path.isfile(CNSETTINGS_FILE):
shutil.copy(DEFAULT_CNSETTINGS_FILE, CNSETTINGS_FILE)
if os.path.exists(CNSETTINGS_FILE):
with open(CNSETTINGS_FILE) as f:
settings.update(json.load(f))
with open(DEFAULT_CNSETTINGS_FILE) as f:
default_settings = json.load(f)
# Update settings with any missing keys from default_settings
settings_updated = False
for key, value in default_settings.items():
if key not in settings:
settings[key] = value
settings_updated = True
# If settings were updated, write them back to the file
if settings_updated:
with open(CNSETTINGS_FILE, "w") as f:
json.dump(settings, f, indent=2)
# Ignore unknown settings
for key in list(settings.keys()):
if settings[key]["type"] not in controlnet_models:
del settings[key]
return settings
def save_cnsettings(cn_save_options):
global controlnet_settings, cn_options
with open(CNSETTINGS_FILE, "w") as f:
json.dump(cn_save_options, f, indent=2)
controlnet_settings = cn_save_options
cn_options = {f"{k}": v for k, v in controlnet_settings.items()}
def modes():
return controlnet_settings.keys()
def get_model(type):
#return controlnet_models[type] if type in controlnet_models else None
return path_manager.get_file_path(f"cn_{type}", default=None)
def get_settings(gen_data):
if "cn_selection" not in gen_data:
return {}
if gen_data["cn_selection"] == NEWCN:
return {
"type": gen_data["cn_type"].lower(),
"edge_low": gen_data["cn_edge_low"],
"edge_high": gen_data["cn_edge_high"],
"start": gen_data["cn_start"],
"stop": gen_data["cn_stop"],
"strength": gen_data["cn_strength"],
"upscaler": gen_data["cn_upscale"],
}
else:
return (
controlnet_settings[gen_data["cn_selection"]]
if gen_data["cn_selection"] in controlnet_settings
else {}
)
controlnet_settings = load_cnsettings()
cn_options = {f"{k}": v for k, v in controlnet_settings.items()}
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