Spaces:
Running
on
A10G
Running
on
A10G
Commit
•
a6075c0
1
Parent(s):
1ebe3e9
Update app.py
Browse files
app.py
CHANGED
@@ -8,8 +8,12 @@ import argparse
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import uuid
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hallo_dir = snapshot_download(repo_id="fudan-generative-ai/hallo", local_dir="pretrained_models")
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def run_inference(source_image, driving_audio, progress=gr.Progress(track_tqdm=True)):
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unique_id = uuid.uuid4()
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args = argparse.Namespace(
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@@ -27,13 +31,71 @@ def run_inference(source_image, driving_audio, progress=gr.Progress(track_tqdm=T
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inference_process(args)
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return f'output-{unique_id}.mp4'
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iface = gr.Interface(
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title="Demo for Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation",
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description="Generate talking head avatars driven from audio. **every 10 seconds of generation takes ~1 minute** - duplicate the space for private use or try for free on Google Colab",
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fn=run_inference,
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inputs=[gr.Image(type="filepath"), gr.Audio(type="filepath")],
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cache_examples=False,
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outputs="video"
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)
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import uuid
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hallo_dir = snapshot_download(repo_id="fudan-generative-ai/hallo", local_dir="pretrained_models")
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is_shared_ui = True if "multimodalart/hallo" in os.environ['SPACE_ID'] else False
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def run_inference(source_image, driving_audio, progress=gr.Progress(track_tqdm=True)):
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if is_shared_ui:
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raise gr.Error("This Space only works in duplicated instances")
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unique_id = uuid.uuid4()
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args = argparse.Namespace(
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inference_process(args)
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return f'output-{unique_id}.mp4'
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css = '''
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div#warning-ready {
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background-color: #ecfdf5;
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padding: 0 16px 16px;
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margin: 20px 0;
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color: #030303!important;
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}
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div#warning-ready > .gr-prose > h2, div#warning-ready > .gr-prose > p {
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color: #057857!important;
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}
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div#warning-duplicate {
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background-color: #ebf5ff;
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padding: 0 16px 16px;
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margin: 20px 0;
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color: #030303!important;
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}
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div#warning-duplicate > .gr-prose > h2, div#warning-duplicate > .gr-prose > p {
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color: #0f4592!important;
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}
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div#warning-duplicate strong {
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color: #0f4592;
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}
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p.actions {
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display: flex;
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align-items: center;
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margin: 20px 0;
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}
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div#warning-duplicate .actions a {
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display: inline-block;
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margin-right: 10px;
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}
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'''
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with gr.Blocks(css=css) as demo:
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if is_shared_ui:
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top_description = gr.HTML(f'''
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<div class="gr-prose">
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<h2 class="custom-color"><svg xmlns="http://www.w3.org/2000/svg" width="18px" height="18px" style="margin-right: 0px;display: inline-block;"fill="none"><path fill="#fff" d="M7 13.2a6.3 6.3 0 0 0 4.4-10.7A6.3 6.3 0 0 0 .6 6.9 6.3 6.3 0 0 0 7 13.2Z"/><path fill="#fff" fill-rule="evenodd" d="M7 0a6.9 6.9 0 0 1 4.8 11.8A6.9 6.9 0 0 1 0 7 6.9 6.9 0 0 1 7 0Zm0 0v.7V0ZM0 7h.6H0Zm7 6.8v-.6.6ZM13.7 7h-.6.6ZM9.1 1.7c-.7-.3-1.4-.4-2.2-.4a5.6 5.6 0 0 0-4 1.6 5.6 5.6 0 0 0-1.6 4 5.6 5.6 0 0 0 1.6 4 5.6 5.6 0 0 0 4 1.7 5.6 5.6 0 0 0 4-1.7 5.6 5.6 0 0 0 1.7-4 5.6 5.6 0 0 0-1.7-4c-.5-.5-1.1-.9-1.8-1.2Z" clip-rule="evenodd"/><path fill="#000" fill-rule="evenodd" d="M7 2.9a.8.8 0 1 1 0 1.5A.8.8 0 0 1 7 3ZM5.8 5.7c0-.4.3-.6.6-.6h.7c.3 0 .6.2.6.6v3.7h.5a.6.6 0 0 1 0 1.3H6a.6.6 0 0 1 0-1.3h.4v-3a.6.6 0 0 1-.6-.7Z" clip-rule="evenodd"/></svg>
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Attention: this Space need to be duplicated to work</h2>
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<p class="main-message custom-color">
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To make it work, <strong>duplicate the Space</strong> and run it on your own profile using a <strong>private</strong> GPU.<br />
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An L4 costs <strong>US$0.80/h</strong>, so it should cost ~US$0.08 to generate 10s of talking head avatar.
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</p>
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<p class="actions custom-color">
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<a href="https://huggingface.co/spaces/{os.environ['SPACE_ID']}?duplicate=true">
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<img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/duplicate-this-space-lg-dark.svg" alt="Duplicate this Space" />
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</a>
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to start generate your talking head
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</p>
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</div>
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''', elem_id="warning-duplicate")
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gr.Markdown("# Demo for Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation")
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gr.Markdown("Generate talking head avatars driven from audio. **every 10 seconds of generation takes ~1 minute** - duplicate the space for private use or try for free on Google Colab")
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with gr.Row():
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with gr.Column():
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avatar_face = gr.Image(type="filepath", label="Face")
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driving_audio = gr.Audio(type="filepath", label="Driving audio")
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generate = gr.Button("Generate")
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with gr.Column():
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output_video = gr.Video(label="Your talking head")
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generate.click(
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fn=run_inference,
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intputs=[avatar_face, driving_audio],
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outputs=output_video
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)
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demo.launch()
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