from typing import List, Optional, Tuple import gradio from facefusion import state_manager, wording from facefusion.common_helper import calc_int_step from facefusion.processors import choices as processors_choices from facefusion.processors.core import load_processor_module from facefusion.processors.types import DeepSwapperModel from facefusion.uis.core import get_ui_component, register_ui_component DEEP_SWAPPER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None DEEP_SWAPPER_MORPH_SLIDER : Optional[gradio.Slider] = None def render() -> None: global DEEP_SWAPPER_MODEL_DROPDOWN global DEEP_SWAPPER_MORPH_SLIDER has_deep_swapper = 'deep_swapper' in state_manager.get_item('processors') DEEP_SWAPPER_MODEL_DROPDOWN = gradio.Dropdown( label = wording.get('uis.deep_swapper_model_dropdown'), choices = processors_choices.deep_swapper_models, value = state_manager.get_item('deep_swapper_model'), visible = has_deep_swapper ) DEEP_SWAPPER_MORPH_SLIDER = gradio.Slider( label = wording.get('uis.deep_swapper_morph_slider'), value = state_manager.get_item('deep_swapper_morph'), step = calc_int_step(processors_choices.deep_swapper_morph_range), minimum = processors_choices.deep_swapper_morph_range[0], maximum = processors_choices.deep_swapper_morph_range[-1], visible = has_deep_swapper and load_processor_module('deep_swapper').get_inference_pool() and load_processor_module('deep_swapper').has_morph_input() ) register_ui_component('deep_swapper_model_dropdown', DEEP_SWAPPER_MODEL_DROPDOWN) register_ui_component('deep_swapper_morph_slider', DEEP_SWAPPER_MORPH_SLIDER) def listen() -> None: DEEP_SWAPPER_MODEL_DROPDOWN.change(update_deep_swapper_model, inputs = DEEP_SWAPPER_MODEL_DROPDOWN, outputs = [ DEEP_SWAPPER_MODEL_DROPDOWN, DEEP_SWAPPER_MORPH_SLIDER ]) DEEP_SWAPPER_MORPH_SLIDER.release(update_deep_swapper_morph, inputs = DEEP_SWAPPER_MORPH_SLIDER) processors_checkbox_group = get_ui_component('processors_checkbox_group') if processors_checkbox_group: processors_checkbox_group.change(remote_update, inputs = processors_checkbox_group, outputs = [ DEEP_SWAPPER_MODEL_DROPDOWN, DEEP_SWAPPER_MORPH_SLIDER ]) def remote_update(processors : List[str]) -> Tuple[gradio.Dropdown, gradio.Slider]: has_deep_swapper = 'deep_swapper' in processors return gradio.Dropdown(visible = has_deep_swapper), gradio.Slider(visible = has_deep_swapper and load_processor_module('deep_swapper').get_inference_pool() and load_processor_module('deep_swapper').has_morph_input()) def update_deep_swapper_model(deep_swapper_model : DeepSwapperModel) -> Tuple[gradio.Dropdown, gradio.Slider]: deep_swapper_module = load_processor_module('deep_swapper') deep_swapper_module.clear_inference_pool() state_manager.set_item('deep_swapper_model', deep_swapper_model) if deep_swapper_module.pre_check(): return gradio.Dropdown(value = state_manager.get_item('deep_swapper_model')), gradio.Slider(visible = deep_swapper_module.has_morph_input()) return gradio.Dropdown(), gradio.Slider() def update_deep_swapper_morph(deep_swapper_morph : int) -> None: state_manager.set_item('deep_swapper_morph', deep_swapper_morph)