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import os, sys
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import tempfile
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import gradio as gr
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from src.gradio_demo import SadTalker
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from huggingface_hub import snapshot_download
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def get_source_image(image):
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return image
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try:
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import webui
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in_webui = True
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except:
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in_webui = False
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def toggle_audio_file(choice):
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if choice == False:
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return gr.update(visible=True), gr.update(visible=False)
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else:
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return gr.update(visible=False), gr.update(visible=True)
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def ref_video_fn(path_of_ref_video):
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if path_of_ref_video is not None:
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return gr.update(value=True)
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else:
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return gr.update(value=False)
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def download_model():
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REPO_ID = 'vinthony/SadTalker-V002rc'
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snapshot_download(repo_id=REPO_ID, local_dir='./checkpoints', local_dir_use_symlinks=True)
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def sadtalker_demo():
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download_model()
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sad_talker = SadTalker(lazy_load=True)
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with gr.Blocks(analytics_enabled=False) as sadtalker_interface:
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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> \
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<a style='font-size:18px;color: #efefef' href='https://arxiv.org/abs/2211.12194'>Arxiv</a> \
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<a style='font-size:18px;color: #efefef' href='https://sadtalker.github.io'>Homepage</a> \
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<a style='font-size:18px;color: #efefef' href='https://github.com/Winfredy/SadTalker'> Github </div>")
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gr.Markdown("""
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<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> \
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<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> \
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""")
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with gr.Row().style(equal_height=False):
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with gr.Column(variant='panel'):
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with gr.Tabs(elem_id="sadtalker_source_image"):
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with gr.TabItem('Source image'):
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with gr.Row():
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source_image = gr.Image(label="Source image", source="upload", type="filepath", elem_id="img2img_image").style(width=512)
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with gr.Tabs(elem_id="sadtalker_driven_audio"):
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with gr.TabItem('Driving Methods'):
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gr.Markdown("Possible driving combinations: <br> 1. Audio only 2. Audio/IDLE Mode + Ref Video(pose, blink, pose+blink) 3. IDLE Mode only 4. Ref Video only (all) ")
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with gr.Row():
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driven_audio = gr.Audio(label="Input audio", source="upload", type="filepath")
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driven_audio_no = gr.Audio(label="Use IDLE mode, no audio is required", source="upload", type="filepath", visible=False)
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with gr.Column():
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use_idle_mode = gr.Checkbox(label="Use Idle Animation")
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length_of_audio = gr.Number(value=5, label="The length(seconds) of the generated video.")
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use_idle_mode.change(toggle_audio_file, inputs=use_idle_mode, outputs=[driven_audio, driven_audio_no])
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with gr.Row():
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ref_video = gr.Video(label="Reference Video", source="upload", type="filepath", elem_id="vidref").style(width=512)
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with gr.Column():
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use_ref_video = gr.Checkbox(label="Use Reference Video")
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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))")
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ref_video.change(ref_video_fn, inputs=ref_video, outputs=[use_ref_video])
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with gr.Column(variant='panel'):
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with gr.Tabs(elem_id="sadtalker_checkbox"):
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with gr.TabItem('Settings'):
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gr.Markdown("need help? please visit our [[best practice page](https://github.com/OpenTalker/SadTalker/blob/main/docs/best_practice.md)] for more detials")
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with gr.Column(variant='panel'):
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with gr.Row():
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pose_style = gr.Slider(minimum=0, maximum=45, step=1, label="Pose style", value=0)
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exp_weight = gr.Slider(minimum=0, maximum=3, step=0.1, label="expression scale", value=1)
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blink_every = gr.Checkbox(label="use eye blink", value=True)
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with gr.Row():
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size_of_image = gr.Radio([256, 512], value=256, label='face model resolution', info="use 256/512 model?")
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preprocess_type = gr.Radio(['crop', 'resize','full', 'extcrop', 'extfull'], value='crop', label='preprocess', info="How to handle input image?")
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with gr.Row():
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is_still_mode = gr.Checkbox(label="Still Mode (fewer head motion, works with preprocess `full`)")
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facerender = gr.Radio(['facevid2vid','pirender'], value='facevid2vid', label='facerender', info="which face render?")
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with gr.Row():
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batch_size = gr.Slider(label="batch size in generation", step=1, maximum=10, value=1)
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enhancer = gr.Checkbox(label="GFPGAN as Face enhancer")
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submit = gr.Button('Generate', elem_id="sadtalker_generate", variant='primary')
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with gr.Tabs(elem_id="sadtalker_genearted"):
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gen_video = gr.Video(label="Generated video", format="mp4").style(width=256)
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submit.click(
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fn=sad_talker.test,
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inputs=[source_image,
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driven_audio,
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preprocess_type,
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is_still_mode,
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enhancer,
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batch_size,
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size_of_image,
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pose_style,
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facerender,
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exp_weight,
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use_ref_video,
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ref_video,
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ref_info,
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use_idle_mode,
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length_of_audio,
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blink_every
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],
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outputs=[gen_video],
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)
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with gr.Row():
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examples = [
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[
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'examples/source_image/full_body_1.png',
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'examples/driven_audio/bus_chinese.wav',
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'crop',
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True,
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False
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],
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[
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'examples/source_image/full_body_2.png',
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'examples/driven_audio/japanese.wav',
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'crop',
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False,
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False
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],
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[
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'examples/source_image/full3.png',
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'examples/driven_audio/deyu.wav',
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'crop',
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False,
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True
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],
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[
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'examples/source_image/full4.jpeg',
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'examples/driven_audio/eluosi.wav',
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'full',
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False,
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True
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],
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[
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'examples/source_image/full4.jpeg',
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'examples/driven_audio/imagine.wav',
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'full',
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True,
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True
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],
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[
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'examples/source_image/full_body_1.png',
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'examples/driven_audio/bus_chinese.wav',
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'full',
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True,
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False
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],
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[
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'examples/source_image/art_13.png',
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'examples/driven_audio/fayu.wav',
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'resize',
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True,
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False
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],
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[
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'examples/source_image/art_5.png',
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'examples/driven_audio/chinese_news.wav',
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'resize',
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False,
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False
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],
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[
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'examples/source_image/art_5.png',
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'examples/driven_audio/RD_Radio31_000.wav',
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'resize',
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True,
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True
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],
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]
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gr.Examples(examples=examples,
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inputs=[
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source_image,
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driven_audio,
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preprocess_type,
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is_still_mode,
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enhancer],
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outputs=[gen_video],
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fn=sad_talker.test,
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cache_examples=os.getenv('SYSTEM') == 'spaces')
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return sadtalker_interface
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if __name__ == "__main__":
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demo = sadtalker_demo()
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demo.queue(max_size=10, api_open=True)
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demo.launch(debug=True)
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