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Update app.py
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app.py
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@@ -1,6 +1,7 @@
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import shlex
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import subprocess
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subprocess.run(shlex.split("pip install pip==24.0"), check=True)
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subprocess.run(
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shlex.split(
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@@ -13,9 +14,12 @@ subprocess.run(
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), check=True
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)
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if __name__ == "__main__":
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from huggingface_hub import snapshot_download
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snapshot_download("public-data/Unique3D", repo_type="model", local_dir="./ckpt")
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import os
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import sys
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sys.path.append(os.curdir)
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@@ -23,11 +27,13 @@ if __name__ == "__main__":
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torch.set_float32_matmul_precision('medium')
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torch.backends.cuda.matmul.allow_tf32 = True
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torch.set_grad_enabled(False)
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import fire
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import gradio as gr
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from gradio_app.gradio_3dgen import create_ui as create_3d_ui
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from gradio_app.all_models import model_zoo
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_TITLE = '''Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image'''
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_DESCRIPTION = '''
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<div>
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@@ -52,9 +58,8 @@ def launch():
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with gr.Column(scale=1):
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gr.Markdown('# ' + _TITLE)
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gr.Markdown(_DESCRIPTION)
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-
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create_3d_ui("wkl")
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-
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demo.queue().launch(share=True)
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if __name__ == '__main__':
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import shlex
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import subprocess
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+
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subprocess.run(shlex.split("pip install pip==24.0"), check=True)
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subprocess.run(
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shlex.split(
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), check=True
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)
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+
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if __name__ == "__main__":
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from huggingface_hub import snapshot_download
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+
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snapshot_download("public-data/Unique3D", repo_type="model", local_dir="./ckpt")
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+
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import os
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import sys
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sys.path.append(os.curdir)
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torch.set_float32_matmul_precision('medium')
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torch.backends.cuda.matmul.allow_tf32 = True
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torch.set_grad_enabled(False)
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+
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import fire
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import gradio as gr
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from gradio_app.gradio_3dgen import create_ui as create_3d_ui
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from gradio_app.all_models import model_zoo
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+
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_TITLE = '''Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image'''
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_DESCRIPTION = '''
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<div>
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with gr.Column(scale=1):
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gr.Markdown('# ' + _TITLE)
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gr.Markdown(_DESCRIPTION)
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create_3d_ui("wkl")
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+
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demo.queue().launch(share=True)
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if __name__ == '__main__':
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