import spaces
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()
with gr.Blocks(analytics_enabled=False, theme="Hev832/Applio") as sadtalker_interface:
gr.Markdown(" 😠SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation (CVPR 2023)
\
Arxiv \
Homepage \
Github ")
gr.Markdown("""
You may duplicate the space and upgrade to GPU in settings for better performance and faster inference without waiting in the queue. 
\
Alternatively, try our GitHub code on your own GPU. 
\
""")
with gr.Row():
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", type="filepath", elem_id="img2img_image")
with gr.TabItem('Driving Methods',elem_id="sadtalker_driven_audio"):
gr.Markdown("Possible driving combinations:
1. Audio only 2. Audio/IDLE Mode + Ref Video(pose, blink, pose+blink) 3. IDLE Mode only 4. Ref Video only (all) ")
with gr.Row():
driven_audio = gr.Audio(label="Input audio", type="filepath")
driven_audio_no = gr.Audio(label="Use IDLE mode, no audio is required", type="filepath", visible=False)
with gr.Column():
use_idle_mode = gr.Checkbox(label="Use Idle Animation")
length_of_audio = gr.Number(value=5, label="The length(seconds) of the generated video.")
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", elem_id="vidref")
with gr.Column():
use_ref_video = gr.Checkbox(label="Use Reference Video")
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))")
ref_video.change(ref_video_fn, inputs=ref_video, outputs=[use_ref_video]) # todo
with gr.TabItem('Settings',elem_id="sadtalker_checkbox"):
gr.Markdown("need help? please visit our [[best practice page](https://github.com/OpenTalker/SadTalker/blob/main/docs/best_practice.md)] for more detials")
with gr.Column(variant='panel'):
with gr.Row():
pose_style = gr.Slider(minimum=0, maximum=45, step=1, label="Pose style", value=0) #
exp_weight = gr.Slider(minimum=0, maximum=3, step=0.1, label="expression scale", value=1) #
blink_every = gr.Checkbox(label="use eye blink", value=True)
with gr.Row():
size_of_image = gr.Radio([256, 512], value=256, label='face model resolution', info="use 256/512 model?") #
preprocess_type = gr.Radio(['crop', 'resize','full', 'extcrop', 'extfull'], value='crop', label='preprocess', info="How to handle input image?")
with gr.Row():
is_still_mode = gr.Checkbox(label="Still Mode (fewer head motion, works with preprocess `full`)")
facerender = gr.Radio(['facevid2vid','pirender'], value='facevid2vid', label='facerender', info="which face render?")
with gr.Row():
batch_size = gr.Slider(label="batch size in generation", step=1, maximum=10, value=1)
enhancer = gr.Checkbox(label="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")
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],
)
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=False
#cache_examples=os.getenv('SYSTEM') == 'spaces'
) #
return sadtalker_interface
if __name__ == "__main__":
demo = sadtalker_demo()
demo.queue()
demo.launch()
#demo.queue(max_size=10, api_open=True)
#demo.launch(debug=True)