from time import sleep from typing import Optional, Tuple import gradio from facefusion import process_manager, state_manager, wording from facefusion.args import collect_step_args from facefusion.core import process_step from facefusion.filesystem import is_directory, is_image, is_video from facefusion.jobs import job_helper, job_manager, job_runner from facefusion.temp_helper import clear_temp_directory from facefusion.typing import Args, UiWorkflow from facefusion.uis.core import get_ui_component from facefusion.uis.ui_helper import suggest_output_path INSTANT_RUNNER_WRAPPER : Optional[gradio.Row] = None INSTANT_RUNNER_START_BUTTON : Optional[gradio.Button] = None INSTANT_RUNNER_STOP_BUTTON : Optional[gradio.Button] = None INSTANT_RUNNER_CLEAR_BUTTON : Optional[gradio.Button] = None def render() -> None: global INSTANT_RUNNER_WRAPPER global INSTANT_RUNNER_START_BUTTON global INSTANT_RUNNER_STOP_BUTTON global INSTANT_RUNNER_CLEAR_BUTTON if job_manager.init_jobs(state_manager.get_item('jobs_path')): is_instant_runner = state_manager.get_item('ui_workflow') == 'instant_runner' with gradio.Row(visible = is_instant_runner) as INSTANT_RUNNER_WRAPPER: INSTANT_RUNNER_START_BUTTON = gradio.Button( value = wording.get('uis.start_button'), variant = 'primary', size = 'sm' ) INSTANT_RUNNER_STOP_BUTTON = gradio.Button( value = wording.get('uis.stop_button'), variant = 'primary', size = 'sm', visible = False ) INSTANT_RUNNER_CLEAR_BUTTON = gradio.Button( value = wording.get('uis.clear_button'), size = 'sm' ) def listen() -> None: output_image = get_ui_component('output_image') output_video = get_ui_component('output_video') ui_workflow_dropdown = get_ui_component('ui_workflow_dropdown') if output_image and output_video: INSTANT_RUNNER_START_BUTTON.click(start, outputs = [ INSTANT_RUNNER_START_BUTTON, INSTANT_RUNNER_STOP_BUTTON ]) INSTANT_RUNNER_START_BUTTON.click(run, outputs = [ INSTANT_RUNNER_START_BUTTON, INSTANT_RUNNER_STOP_BUTTON, output_image, output_video ]) INSTANT_RUNNER_STOP_BUTTON.click(stop, outputs = [ INSTANT_RUNNER_START_BUTTON, INSTANT_RUNNER_STOP_BUTTON ]) INSTANT_RUNNER_CLEAR_BUTTON.click(clear, outputs = [ output_image, output_video ]) if ui_workflow_dropdown: ui_workflow_dropdown.change(remote_update, inputs = ui_workflow_dropdown, outputs = INSTANT_RUNNER_WRAPPER) def remote_update(ui_workflow : UiWorkflow) -> gradio.Row: is_instant_runner = ui_workflow == 'instant_runner' return gradio.Row(visible = is_instant_runner) def start() -> Tuple[gradio.Button, gradio.Button]: while not process_manager.is_processing(): sleep(0.5) return gradio.Button(visible = False), gradio.Button(visible = True) def run() -> Tuple[gradio.Button, gradio.Button, gradio.Image, gradio.Video]: step_args = collect_step_args() output_path = step_args.get('output_path') if is_directory(step_args.get('output_path')): step_args['output_path'] = suggest_output_path(step_args.get('output_path'), state_manager.get_item('target_path')) if job_manager.init_jobs(state_manager.get_item('jobs_path')): create_and_run_job(step_args) state_manager.set_item('output_path', output_path) if is_image(step_args.get('output_path')): return gradio.Button(visible = True), gradio.Button(visible = False), gradio.Image(value = step_args.get('output_path'), visible = True), gradio.Video(value = None, visible = False) if is_video(step_args.get('output_path')): return gradio.Button(visible = True), gradio.Button(visible = False), gradio.Image(value = None, visible = False), gradio.Video(value = step_args.get('output_path'), visible = True) return gradio.Button(visible = True), gradio.Button(visible = False), gradio.Image(value = None), gradio.Video(value = None) def create_and_run_job(step_args : Args) -> bool: job_id = job_helper.suggest_job_id('ui') return job_manager.create_job(job_id) and job_manager.add_step(job_id, step_args) and job_manager.submit_job(job_id) and job_runner.run_job(job_id, process_step) def stop() -> Tuple[gradio.Button, gradio.Button]: process_manager.stop() return gradio.Button(visible = True), gradio.Button(visible = False) def clear() -> Tuple[gradio.Image, gradio.Video]: while process_manager.is_processing(): sleep(0.5) if state_manager.get_item('target_path'): clear_temp_directory(state_manager.get_item('target_path')) return gradio.Image(value = None), gradio.Video(value = None)