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plugins/train/model/dlight_defaults.py
63 строки
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torzdf
Faceswap 3 (#1516)
21 дек 2025, 05:45
Не верифицирован
21 дек 2025, 05:45
837bc2d
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#!/usr/bin/env python3 """ The default options for the faceswap Dfaker Model plugin. Defaults files should be named `<plugin_name>_defaults.py` Any qualifying items placed into this file will automatically get added to the relevant config .ini files within the faceswap/config folder and added to the relevant GUI settings page. The following variable should be defined: Parameters ---------- HELPTEXT: str A string describing what this plugin does Further plugin configuration options are assigned using: >>> <config_item> = ConfigItem(...) where <config_item> is the name of the configuration option to be added (lower-case, alpha-numeric + underscore only) and ConfigItem(...) is the [`~lib.config.objects.ConfigItem`] data for the option. See the docstring/ReadtheDocs documentation required parameters for the ConfigItem object. Items will be grouped together as per their `group` parameter, but otherwise will be processed in the order that they are added to this module. from lib.config import ConfigItem """ from lib.config import ConfigItem HELPTEXT = ("A lightweight, high resolution Dfaker variant " "(Adapted from https://github.com/dfaker/df)") features = ConfigItem( datatype=str, default="best", group="settings", info="Higher settings will allow learning more features such as tatoos, piercing and " "wrinkles.\nStrongly affects VRAM usage.", choices=["lowmem", "fair", "best"], gui_radio=True, fixed=True) details = ConfigItem( datatype=str, default="good", group="settings", info="Defines detail fidelity. Lower setting can appear 'rugged' while 'good' might take " "a longer time to train.\nAffects VRAM usage.", choices=["fast", "good"], gui_radio=True, fixed=True) output_size = ConfigItem( datatype=int, default=256, group="settings", info="Output image resolution (in pixels).\nBe aware that larger resolution will increase " "VRAM requirements.\nNB: Must be either 128, 256, or 384.", rounding=128, min_max=(128, 384), fixed=True)