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import argparse
import gradio as gr
from dofaker import FaceSwapper, PoseSwapper
def parse_args():
parser = argparse.ArgumentParser(description='⏳running face swap')
parser.add_argument(
'--inbrowser',
help=
'whether to automatically launch the interface in a new tab on the default browser.',
dest='inbrowser',
default=True)
parser.add_argument(
'--server_port',
help=
'will start gradio app on this port (if available). Can be set by environment variable GRADIO_SERVER_PORT. If None, will search for an available port starting at 7860.',
dest='server_port',
type=int,
default=None)
return parser.parse_args()
def swap_face(input_path, dst_path, src_path, use_enhancer, use_sr, scale,
face_sim_thre):
faker = FaceSwapper(use_enhancer=use_enhancer,
use_sr=use_sr,
scale=scale,
face_sim_thre=face_sim_thre)
output_path = faker.run(input_path, dst_path, src_path)
return output_path
def swap_pose(input_path, target_path, use_enhancer, use_sr, scale):
faker = PoseSwapper(use_enhancer=use_enhancer, use_sr=use_sr, scale=scale)
output_path = faker.run(input_path, target_path)
return output_path
def main():
args = parse_args()
with gr.Blocks(theme='ysharma/huggingface@=0.0.4') as web_ui:
gr.Markdown('# 👑 FaceClone')
gr.Markdown('### Deepfake Swap Face and Pose.')
with gr.Tab('🧩 FaceSwapper'):
gr.Markdown(' 🧸 FaceClone:power by Gradio')
with gr.Tab('📥 Face'):
with gr.Row():
with gr.Column():
gr.Markdown('🖇️ Source Face to be swapped')
image_input = gr.Image(type='filepath')
with gr.Row():
with gr.Column():
gr.Markdown(
'🎭 Target source included with Face')
dst_face_image = gr.Image(type='filepath')
with gr.Column():
gr.Markdown(
'🧑🦳 Source Face to Replace Target Face')
src_face_image = gr.Image(type='filepath')
with gr.Column():
output_image = gr.Image(type='filepath')
use_enhancer = gr.Checkbox(
label="👑 Face Enhance",
info="🧿Whether use face enhance model.")
with gr.Row():
use_sr = gr.Checkbox(
label="🛠️ Super resolution",
info="⚒️ Whether use image resolution model.")
scale = gr.Number(
value=1, label='📐image super resolution scale')
with gr.Row():
face_sim_thre = gr.Number(
value=0.6,
label='🧲 face similarity threshold',
minimum=0.0,
maximum=1.0)
convert_button = gr.Button('🔍Swap')
convert_button.click(fn=swap_face,
inputs=[
image_input, dst_face_image,
src_face_image, use_enhancer,
use_sr, scale, face_sim_thre
],
outputs=[output_image],
api_name='🔎Image swap')
with gr.Tab('🖥️ Video'):
with gr.Row():
with gr.Column():
gr.Markdown('📺 Target Video')
video_input = gr.Video()
with gr.Row():
with gr.Column():
gr.Markdown(
'👳 Target Face')
dst_face_image = gr.Image(type='filepath')
with gr.Column():
gr.Markdown(
'🫅 Source Face')
src_face_image = gr.Image(type='filepath')
with gr.Column():
output_video = gr.Video()
use_enhancer = gr.Checkbox(
label="📸 Face Enhance",
info="📷 Whether use face enhance model.")
with gr.Row():
use_sr = gr.Checkbox(
label="🔋 Super Resolution",
info="🔦Whether use image resolution model.")
scale = gr.Number(
value=1, label='🗞️ Super Resolution Image')
with gr.Row():
face_sim_thre = gr.Number(
value=0.6,
label='💌face similarity threshold',
minimum=0.0,
maximum=1.0)
convert_button = gr.Button('🎯 Swap')
convert_button.click(fn=swap_face,
inputs=[
video_input, dst_face_image,
src_face_image, use_enhancer,
use_sr, scale, face_sim_thre
],
outputs=[output_video],
api_name='💽 Video Swap 💽')
with gr.Tab('🪩 PoseSwapper'):
gr.Markdown(' 🧸FaceClone:Deepfake power by Gradio')
with gr.Tab('📷 Image'):
with gr.Row():
with gr.Column():
gr.Markdown('🧑🦳The source image to be swapped')
image_input = gr.Image(type='filepath')
gr.Markdown('🗳️ The target image with pose')
target = gr.Image(type='filepath')
with gr.Column():
output_image = gr.Image(type='filepath')
use_enhancer = gr.Checkbox(
label="👑 Face Enhance",
info="🧾Whether use face enhance model.")
with gr.Row():
use_sr = gr.Checkbox(
label="🛠️ Super Resolution",
info="⌛Whether use image resolution model.")
scale = gr.Number(
value=1, label='📸 Super resolution scale')
convert_button = gr.Button('🎯 Swap')
convert_button.click(fn=swap_pose,
inputs=[
image_input, target,
use_enhancer, use_sr, scale
],
outputs=[output_image],
api_name='🎭 Image slSwap 🎭')
# with gr.Tab('Video'):
# with gr.Row():
# with gr.Column():
# gr.Markdown('The source video to be swapped')
# video_input = gr.Image(type='filepath')
# gr.Markdown('The target image with pose')
# target = gr.Video()
# with gr.Column():
# output_video = gr.Video()
# use_enhancer = gr.Checkbox(
# label="face enhance",
# info="Whether use face enhance model.")
# with gr.Row():
# use_sr = gr.Checkbox(
# label="super resolution",
# info="Whether use image resolution model.")
# scale = gr.Number(value=1,
# label='image super resolution scale')
# convert_button = gr.Button('Swap')
# convert_button.click(fn=swap_pose,
# inputs=[
# video_input, target, use_enhancer,
# use_sr, scale
# ],
# outputs=[output_video],
# api_name='video swap')
web_ui.launch(inbrowser=args.inbrowser, server_port=args.server_port)
if __name__ == '__main__':
main()
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