Generative-AI / face_fix.py
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import multiprocessing
import gradio
import facefusion.globals
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, execution_queue_count, memory, temp_frame, output_options, common_options, source, target, output, preview, trim_frame, face_analyser, face_selector, face_masker
def pre_check() -> bool:
return True
def pre_render() -> bool:
return True
def render() -> gradio.Blocks:
with gradio.Blocks() as layout:
with gradio.Row():
with gradio.Column(scale = 2):
with gradio.Blocks():
about.render()
with gradio.Blocks():
frame_processors.render()
with gradio.Blocks():
frame_processors_options.render()
with gradio.Blocks():
execution.render()
execution_thread_count.render()
execution_queue_count.render()
with gradio.Blocks():
memory.render()
with gradio.Blocks():
temp_frame.render()
with gradio.Blocks():
output_options.render()
with gradio.Column(scale = 2):
with gradio.Blocks():
source.render()
with gradio.Blocks():
target.render()
with gradio.Blocks():
output.render()
with gradio.Column(scale = 3):
with gradio.Blocks():
preview.render()
with gradio.Blocks():
trim_frame.render()
with gradio.Blocks():
face_selector.render()
with gradio.Blocks():
face_masker.render()
with gradio.Blocks():
face_analyser.render()
with gradio.Blocks():
common_options.render()
return layout
def listen() -> None:
frame_processors.listen()
frame_processors_options.listen()
execution.listen()
execution_thread_count.listen()
execution_queue_count.listen()
memory.listen()
temp_frame.listen()
output_options.listen()
source.listen()
target.listen()
output.listen()
preview.listen()
trim_frame.listen()
face_selector.listen()
face_masker.listen()
face_analyser.listen()
common_options.listen()
def run(ui : gradio.Blocks) -> None:
concurrency_count = min(8, multiprocessing.cpu_count())
ui.queue(concurrency_count = concurrency_count).launch(show_api = False, quiet = True, inbrowser = facefusion.globals.open_browser, share=True)