|
import argparse |
|
import gradio as gr |
|
from gradio_i18n import Translate, gettext as _ |
|
|
|
from modules.live_portrait.live_portrait_inferencer import LivePortraitInferencer |
|
from modules.utils.paths import * |
|
from modules.utils.helper import str2bool |
|
from modules.utils.constants import * |
|
|
|
|
|
class App: |
|
def __init__(self, |
|
args=None): |
|
self.args = args |
|
self.app = gr.Blocks(css=GRADIO_CSS) |
|
self.i18n = Translate(I18N_YAML_PATH) |
|
self.inferencer = LivePortraitInferencer( |
|
model_dir=args.model_dir if args else MODELS_DIR, |
|
output_dir=args.output_dir if args else OUTPUTS_DIR |
|
) |
|
|
|
@staticmethod |
|
def create_expression_parameters(): |
|
return [ |
|
gr.Dropdown(label=_("Model Type"), visible=False, interactive=False, |
|
choices=[item.value for item in ModelType], value=ModelType.HUMAN.value), |
|
gr.Slider(label=_("Rotate Pitch"), minimum=-20, maximum=20, step=0.5, value=0), |
|
gr.Slider(label=_("Rotate Yaw"), minimum=-20, maximum=20, step=0.5, value=0), |
|
gr.Slider(label=_("Rotate Roll"), minimum=-20, maximum=20, step=0.5, value=0), |
|
gr.Slider(label=_("Blink"), info=_("Value above 5 may appear distorted"), elem_id="blink_slider", |
|
minimum=-20, maximum=20, step=0.5, value=0), |
|
gr.Slider(label=_("Eyebrow"), minimum=-40, maximum=20, step=0.5, value=0), |
|
gr.Slider(label=_("Wink"), minimum=0, maximum=25, step=0.5, value=0), |
|
gr.Slider(label=_("Pupil X"), minimum=-20, maximum=20, step=0.5, value=0), |
|
gr.Slider(label=_("Pupil Y"), minimum=-20, maximum=20, step=0.5, value=0), |
|
gr.Slider(label=_("AAA"), minimum=-30, maximum=120, step=1, value=0), |
|
gr.Slider(label=_("EEE"), minimum=-20, maximum=20, step=0.2, value=0), |
|
gr.Slider(label=_("WOO"), minimum=-20, maximum=20, step=0.2, value=0), |
|
gr.Slider(label=_("Smile"), minimum=-2.0, maximum=2.0, step=0.01, value=0), |
|
gr.Slider(label=_("Source Ratio"), minimum=0, maximum=1, step=0.01, value=1), |
|
gr.Slider(label=_("Sample Ratio"), minimum=-0.2, maximum=1.2, step=0.01, value=1, visible=False), |
|
gr.Dropdown(label=_("Sample Parts"), visible=False, |
|
choices=[part.value for part in SamplePart], value=SamplePart.ALL.value), |
|
gr.Slider(label=_("Face Crop Factor"), minimum=1.5, maximum=2.5, step=0.1, value=2), |
|
gr.Checkbox(label=_("Enable Image Restoration"), |
|
info=_("This enables image restoration with RealESRGAN but slows down the speed"), value=False) |
|
] |
|
|
|
@staticmethod |
|
def create_video_parameters(): |
|
return [ |
|
gr.Dropdown(label=_("Model Type"), visible=False, interactive=False, |
|
choices=[item.value for item in ModelType], |
|
value=ModelType.HUMAN.value), |
|
gr.Slider(label=_("First frame eyes alignment factor"), minimum=0, maximum=1, step=0.01, value=1), |
|
gr.Slider(label=_("First frame mouth alignment factor"), minimum=0, maximum=1, step=0.01, value=1), |
|
gr.Slider(label=_("Face Crop Factor"), minimum=1.5, maximum=2.5, step=0.1, value=2), |
|
gr.Checkbox(label=_("Enable Image Restoration"), |
|
info=_("This enables image restoration with RealESRGAN but slows down the speed"), value=False) |
|
] |
|
|
|
def launch(self): |
|
with self.app: |
|
with self.i18n: |
|
gr.Markdown(REPO_MARKDOWN, elem_id="md_project") |
|
|
|
with gr.Tabs(): |
|
with gr.TabItem(_("Expression Editor")): |
|
with gr.Row(): |
|
with gr.Column(): |
|
img_ref = gr.Image(label=_("Reference Image")) |
|
with gr.Row(): |
|
btn_gen = gr.Button("GENERATE", visible=False) |
|
with gr.Row(equal_height=True): |
|
with gr.Column(scale=9): |
|
img_out = gr.Image(label=_("Output Image")) |
|
with gr.Column(scale=1): |
|
expression_parameters = self.create_expression_parameters() |
|
btn_openfolder = gr.Button('📂') |
|
with gr.Accordion("Opt in features", visible=False): |
|
img_sample = gr.Image() |
|
|
|
params = expression_parameters + [img_ref] |
|
opt_in_features_params = [img_sample] |
|
|
|
gr.on( |
|
triggers=[param.change for param in params], |
|
fn=self.inferencer.edit_expression, |
|
inputs=params + opt_in_features_params, |
|
outputs=img_out, |
|
queue=True |
|
) |
|
|
|
btn_openfolder.click( |
|
fn=lambda: self.open_folder(self.args.output_dir), inputs=None, outputs=None |
|
) |
|
|
|
btn_gen.click(self.inferencer.edit_expression, |
|
inputs=params + opt_in_features_params, |
|
outputs=img_out) |
|
|
|
with gr.TabItem(_("Video Driven")): |
|
with gr.Row(): |
|
img_ref = gr.Image(label=_("Reference Image")) |
|
vid_driven = gr.Video(label=_("Expression Video"), max_length=2) |
|
with gr.Column(): |
|
vid_params = self.create_video_parameters() |
|
|
|
with gr.Row(): |
|
btn_gen = gr.Button(_("GENERATE"), variant="primary") |
|
with gr.Row(equal_height=True): |
|
with gr.Column(scale=9): |
|
vid_out = gr.Video(label=_("Output Video"), scale=9) |
|
with gr.Column(scale=1): |
|
btn_openfolder = gr.Button('📂') |
|
|
|
params = vid_params + [img_ref, vid_driven] |
|
|
|
btn_gen.click( |
|
fn=self.inferencer.create_video, |
|
inputs=params, |
|
outputs=vid_out |
|
) |
|
btn_openfolder.click( |
|
fn=lambda: self.open_folder(os.path.join(self.args.output_dir, "videos")), |
|
inputs=None, outputs=None |
|
) |
|
|
|
gradio_launch_args = { |
|
"inbrowser": self.args.inbrowser, |
|
"share": self.args.share, |
|
"server_name": self.args.server_name, |
|
"server_port": self.args.server_port, |
|
"root_path": self.args.root_path, |
|
"auth": (self.args.username, self.args.password) if self.args.username and self.args.password else None, |
|
} |
|
self.app.queue( |
|
default_concurrency_limit=1 |
|
).launch(**gradio_launch_args) |
|
|
|
@staticmethod |
|
def open_folder(folder_path: str): |
|
if not os.path.exists(folder_path): |
|
os.makedirs(folder_path, exist_ok=True) |
|
print(f"The directory path {folder_path} has newly created.") |
|
os.system(f"start {folder_path}") |
|
|
|
|
|
if __name__ == "__main__": |
|
|
|
parser = argparse.ArgumentParser() |
|
parser.add_argument('--share', type=str2bool, default=False, nargs='?', const=True, help='Gradio share value') |
|
parser.add_argument('--inbrowser', type=str2bool, default=True, nargs='?', const=True, |
|
help='Whether to automatically starts on the browser or not') |
|
parser.add_argument('--server_name', type=str, default=None, help='Gradio server host') |
|
parser.add_argument('--server_port', type=int, default=None, help='Gradio server port') |
|
parser.add_argument('--root_path', type=str, default=None, help='Gradio root path') |
|
parser.add_argument('--username', type=str, default=None, help='Gradio authentication username') |
|
parser.add_argument('--password', type=str, default=None, help='Gradio authentication password') |
|
parser.add_argument('--model_dir', type=str, default=MODELS_DIR, |
|
help='Directory path of the LivePortrait models') |
|
parser.add_argument('--output_dir', type=str, default=OUTPUTS_DIR, |
|
help='Directory path of the outputs') |
|
_args = parser.parse_args() |
|
|
|
app = App(args=_args) |
|
app.launch() |
|
|
|
|
|
|
|
|
|
|
