Spaces:
Runtime error
Runtime error
| 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()} | |