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import gradio as gr
from PIL import Image
import sys
import tempfile
from facefusion import core
def run_cli(cli_args):
old_argv = sys.argv
try:
sys.argv = ['run.py', *cli_args]
core.cli()
finally:
sys.argv = old_argv
def swap_faces(source_image_path, target_image_path, enhance_face=True, enhance_frame=True):
provider = 'cuda'
target_ext = target_image_path.split('.')[-1]
output_image_file = tempfile.NamedTemporaryFile(suffix=f'.{target_ext}')
output_image_path = output_image_file.name
print(source_image_path)
print(target_image_path)
print(output_image_path)
cli_args = [
'--headless',
'-s', source_image_path,
'-t', target_image_path,
'-o', output_image_path,
'--output-image-quality', '80',
'--execution-providers', provider,
# '--face-detector-model', 'yunet',
'--face-analyser-order', 'large-small',
]
cli_args += [ '--frame-processors', 'face_swapper' ]
if enhance_face:
cli_args += [
'face_enhancer',
]
if enhance_frame:
cli_args += [
'frame_enhancer',
]
from facefusion.processors.frame.core import clear_frame_processors_modules
clear_frame_processors_modules()
run_cli(cli_args)
return Image.open(output_image_path)
demo = gr.Interface(
fn=swap_faces,
inputs=[
gr.Image(type="filepath"),
gr.Image(type="filepath"),
gr.Checkbox(label="Enhance Face", value=True),
gr.Checkbox(label="Enhance Frame", value=True),
],
outputs=[
gr.Image(
type="pil",
show_download_button=True,
)
],
title="Swap Faces",
allow_flagging="never"
)
if __name__ == "__main__":
demo.launch() |