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import gradio
import facefusion.globals
from facefusion.download import conditional_download
from facefusion.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, execution_queue_count, limit_resources, benchmark_options, benchmark
def pre_check() -> bool:
if not facefusion.globals.skip_download:
conditional_download('.assets/examples',
[
'https://github.com/facefusion/facefusion-assets/releases/download/examples/source.jpg',
'https://github.com/facefusion/facefusion-assets/releases/download/examples/target-240p.mp4',
'https://github.com/facefusion/facefusion-assets/releases/download/examples/target-360p.mp4',
'https://github.com/facefusion/facefusion-assets/releases/download/examples/target-540p.mp4',
'https://github.com/facefusion/facefusion-assets/releases/download/examples/target-720p.mp4',
'https://github.com/facefusion/facefusion-assets/releases/download/examples/target-1080p.mp4',
'https://github.com/facefusion/facefusion-assets/releases/download/examples/target-1440p.mp4',
'https://github.com/facefusion/facefusion-assets/releases/download/examples/target-2160p.mp4'
])
return True
return False
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()
frame_processors_options.render()
with gradio.Blocks():
execution.render()
execution_thread_count.render()
execution_queue_count.render()
with gradio.Blocks():
limit_resources.render()
with gradio.Blocks():
benchmark_options.render()
with gradio.Column(scale = 5):
with gradio.Blocks():
benchmark.render()
return layout
def listen() -> None:
frame_processors.listen()
frame_processors_options.listen()
execution.listen()
execution_thread_count.listen()
execution_queue_count.listen()
limit_resources.listen()
benchmark.listen()
def run(ui : gradio.Blocks) -> None:
ui.queue(concurrency_count = 2, api_open = False).launch(show_api = False)
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