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import os, sys
import tempfile
import gradio as gr
from src.gradio_demo import SadTalker
# from src.utils.text2speech import TTSTalker
from huggingface_hub import snapshot_download
def get_source_image(image):
return image
try:
import webui # in webui
in_webui = True
except:
in_webui = False
def toggle_audio_file(choice):
if choice == False:
return gr.update(visible=True), gr.update(visible=False)
else:
return gr.update(visible=False), gr.update(visible=True)
def ref_video_fn(path_of_ref_video):
if path_of_ref_video is not None:
return gr.update(value=True)
else:
return gr.update(value=False)
def download_model():
REPO_ID = 'vinthony/SadTalker-V002rc'
snapshot_download(repo_id=REPO_ID, local_dir='./checkpoints', local_dir_use_symlinks=True)
def sadtalker_demo():
download_model()
sad_talker = SadTalker(lazy_load=True)
# tts_talker = TTSTalker()
download_model()
sad_talker = SadTalker(lazy_load=True)
with gr.Blocks(analytics_enabled=False) as sadtalker_interface:
gr.Markdown("<div align='center'> <h2> 😭 SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation (CVPR 2023) </span> </h2> \
<a style='font-size:18px;color: #efefef' href='https://arxiv.org/abs/2211.12194'>Arxiv</a> \
<a style='font-size:18px;color: #efefef' href='https://sadtalker.github.io'>Homepage</a> \
<a style='font-size:18px;color: #efefef' href='https://github.com/Winfredy/SadTalker'> Github </div>")
gr.Markdown("""
<b>You may duplicate the space and upgrade to GPU in settings for better performance and faster inference without waiting in the queue. <a style='display:inline-block' href="https://huggingface.co/spaces/vinthony/SadTalker?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a></b> \
<br/><b>Alternatively, try our GitHub <a href=https://github.com/Winfredy/SadTalker> code </a> on your own GPU. </b> <a style='display:inline-block' href="https://github.com/Winfredy/SadTalker"><img src="https://img.shields.io/github/stars/Winfredy/SadTalker?style=social"/></a> \
""")
with gr.Row().style(equal_height=False):
with gr.Column(variant='panel'):
with gr.Tabs(elem_id="sadtalker_source_image"):
with gr.TabItem('Source image'):
with gr.Row():
source_image = gr.Image(label="Source image", source="upload", type="filepath", elem_id="img2img_image").style(width=512)
with gr.Tabs(elem_id="sadtalker_driven_audio"):
with gr.TabItem('Driving Methods'):
with gr.Row():
driven_audio = gr.Audio(label="Input audio", source="upload", type="filepath")
driven_audio_no = gr.Audio(label="Use IDLE mode, no audio is required", source="upload", type="filepath", visible=False)
with gr.Column():
use_idle_mode = gr.Checkbox(label="Use Idle Animation", visible=False)
length_of_audio = gr.Number(value=5, label="The length(seconds) of the generated video.", visible=False)
use_idle_mode.change(toggle_audio_file, inputs=use_idle_mode, outputs=[driven_audio, driven_audio_no]) # todo
with gr.Row():
ref_video = gr.Video(label="Reference Video", source="upload", type="filepath", elem_id="vidref", visible=False).style(width=512)
with gr.Column():
use_ref_video = gr.Checkbox(label="Use Reference Video", visible=False)
ref_info = gr.Radio(['pose', 'blink','pose+blink', 'all'], value='pose', label='Reference Video',info="How to borrow from reference Video?((fully transfer, aka, video driving mode))", visible=False)
ref_video.change(ref_video_fn, inputs=ref_video, outputs=[use_ref_video]) # todo
with gr.Column(variant='panel'):
with gr.Tabs(elem_id="sadtalker_checkbox"):
with gr.TabItem('Settings'):
with gr.Column(variant='panel'):
# width = gr.Slider(minimum=64, elem_id="img2img_width", maximum=2048, step=8, label="Manually Crop Width", value=512) # img2img_width
# height = gr.Slider(minimum=64, elem_id="img2img_height", maximum=2048, step=8, label="Manually Crop Height", value=512) # img2img_width
with gr.Row():
pose_style = gr.Slider(minimum=0, maximum=45, step=1, label="Pose style", value=0, visible=False) #
exp_weight = gr.Slider(minimum=0, maximum=3, step=0.1, label="expression scale", value=1, visible=False) #
blink_every = gr.Checkbox(label="use eye blink", value=True, visible=False)
with gr.Row():
size_of_image = gr.Radio([256, 512], value=256, label='face model resolution', info="use 256/512 model?", visible=False) #
preprocess_type = gr.Radio(['crop', 'resize','full', 'extcrop', 'extfull'], value='crop', label='preprocess', info="How to handle input image?", visible=False)
with gr.Row():
is_still_mode = gr.Checkbox(label="Still Mode (fewer head motion, works with preprocess `full`)", value=True)
facerender = gr.Radio(['facevid2vid','pirender'], value='facevid2vid', label='facerender', info="which face render?", visible=False)
with gr.Row():
batch_size = gr.Slider(label="batch size in generation", step=1, maximum=10, value=2)
enhancer = gr.Checkbox(label="GFPGAN as Face enhancer", value=True, visible=False)
submit = gr.Button('Generate', elem_id="sadtalker_generate", variant='primary')
with gr.Tabs(elem_id="sadtalker_genearted"):
gen_video = gr.Video(label="Generated video", format="mp4").style(width=256)
submit.click(
fn=sad_talker.test,
inputs=[source_image,
driven_audio,
preprocess_type,
is_still_mode,
enhancer,
batch_size,
size_of_image,
pose_style,
facerender,
exp_weight,
use_ref_video,
ref_video,
ref_info,
use_idle_mode,
length_of_audio,
blink_every
],
outputs=[gen_video]
)
sadtalker_interface.queue().launch(debug=True)
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