Spaces:
Running
Running
File size: 9,267 Bytes
a97be07 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 |
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(title='DoFaker') as web_ui:
gr.Markdown('DoFaker: Face Swap and pose swap web ui')
with gr.Tab('FaceSwapper'):
gr.Markdown('DoFaker: Face Swap Web UI')
with gr.Tab('Image'):
with gr.Row():
with gr.Column():
gr.Markdown('The source image to be swapped')
image_input = gr.Image(type='filepath')
with gr.Row():
with gr.Column():
gr.Markdown(
'target face included in source image')
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('The source video to be swapped')
video_input = gr.Video()
with gr.Row():
with gr.Column():
gr.Markdown(
'target face included in source image')
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_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')
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('DoFaker: Pose Swap Web UI')
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='image 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 swap')
# 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()
|