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Running
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A10G
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 | |
def download_model(): | |
REPO_ID = 'vinthony/SadTalker' | |
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() | |
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('Upload image'): | |
with gr.Row(): | |
source_image = gr.Image(label="Source image", source="upload", type="filepath").style(height=256,width=256) | |
with gr.Tabs(elem_id="sadtalker_driven_audio"): | |
with gr.TabItem('Upload or Generating from TTS'): | |
with gr.Column(variant='panel'): | |
driven_audio = gr.Audio(label="Input audio(.wav/.mp3)", source="upload", type="filepath") | |
# with gr.Column(variant='panel'): | |
# input_text = gr.Textbox(label="Generating audio from text", lines=5, placeholder="Alternatively, you can genreate the audio from text using @Coqui.ai TTS.") | |
# tts = gr.Button('Generate audio',elem_id="sadtalker_audio_generate", variant='primary') | |
# tts.click(fn=tts_talker.test, inputs=[input_text], outputs=[driven_audio]) | |
with gr.Column(variant='panel'): | |
with gr.Tabs(elem_id="sadtalker_checkbox"): | |
with gr.TabItem('Settings'): | |
with gr.Column(variant='panel'): | |
preprocess_type = gr.Radio(['crop','resize','full'], value='crop', label='preprocess', info="How to handle input image?") | |
is_still_mode = gr.Checkbox(label="w/ Still Mode (fewer hand motion, works with preprocess `full`)") | |
enhancer = gr.Checkbox(label="w/ GFPGAN as Face enhancer") | |
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) | |
with gr.Row(): | |
examples = [ | |
[ | |
'examples/source_image/full_body_1.png', | |
'examples/driven_audio/bus_chinese.wav', | |
'crop', | |
True, | |
False | |
], | |
[ | |
'examples/source_image/full_body_2.png', | |
'examples/driven_audio/japanese.wav', | |
'crop', | |
False, | |
False | |
], | |
[ | |
'examples/source_image/full3.png', | |
'examples/driven_audio/deyu.wav', | |
'crop', | |
False, | |
True | |
], | |
[ | |
'examples/source_image/full4.jpeg', | |
'examples/driven_audio/eluosi.wav', | |
'full', | |
False, | |
True | |
], | |
[ | |
'examples/source_image/full4.jpeg', | |
'examples/driven_audio/imagine.wav', | |
'full', | |
True, | |
True | |
], | |
[ | |
'examples/source_image/full_body_1.png', | |
'examples/driven_audio/bus_chinese.wav', | |
'full', | |
True, | |
False | |
], | |
[ | |
'examples/source_image/art_13.png', | |
'examples/driven_audio/fayu.wav', | |
'resize', | |
True, | |
False | |
], | |
[ | |
'examples/source_image/art_5.png', | |
'examples/driven_audio/chinese_news.wav', | |
'resize', | |
False, | |
False | |
], | |
[ | |
'examples/source_image/art_5.png', | |
'examples/driven_audio/RD_Radio31_000.wav', | |
'resize', | |
True, | |
True | |
], | |
] | |
gr.Examples(examples=examples, | |
inputs=[ | |
source_image, | |
driven_audio, | |
preprocess_type, | |
is_still_mode, | |
enhancer], | |
outputs=[gen_video], | |
fn=sad_talker.test, | |
cache_examples=os.getenv('SYSTEM') == 'spaces') # | |
submit.click( | |
fn=sad_talker.test, | |
inputs=[source_image, | |
driven_audio, | |
preprocess_type, | |
is_still_mode, | |
enhancer], | |
outputs=[gen_video] | |
) | |
return sadtalker_interface | |
if __name__ == "__main__": | |
demo = sadtalker_demo() | |
demo.queue(max_size=10) | |
demo.launch(debug=True) | |