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dd98bdb
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Parent(s):
d56014c
Upload 3 files (#1)
Browse files- Upload 3 files (fa08e2deb56b2eb152953b32970f3414b744590f)
Co-authored-by: John Smith <John6666@users.noreply.huggingface.co>
- README.md +1 -1
- app.py +8 -7
- requirements.txt +5 -5
README.md
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@@ -4,7 +4,7 @@ emoji: 📈
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colorFrom: blue
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colorTo: gray
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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license: apache-2.0
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colorFrom: blue
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colorTo: gray
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sdk: gradio
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sdk_version: 5.6.0
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app_file: app.py
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pinned: false
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license: apache-2.0
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app.py
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@@ -122,21 +122,22 @@ article = r"""
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"""
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demo = gr.Interface(
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inference, [
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gr.
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# gr.inputs.Radio(['v1.2', 'v1.3', 'v1.4', 'RestoreFormer', 'CodeFormer'], type="value", default='v1.4', label='version'),
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gr.
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gr.
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# gr.Slider(0, 100, label='Weight, only for CodeFormer. 0 for better quality, 100 for better identity', default=50)
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], [
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gr.
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gr.
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],
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title=title,
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description=description,
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article=article,
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# examples=[['AI-generate.jpg', 'v1.4', 2, 50], ['lincoln.jpg', 'v1.4', 2, 50], ['Blake_Lively.jpg', 'v1.4', 2, 50],
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# ['10045.png', 'v1.4', 2, 50]]).launch()
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examples=[['a1.jpg', 'v1.4', 2], ['a2.jpg', 'v1.4', 2], ['a3.jpg', 'v1.4', 2],['a4.jpg', 'v1.4', 2]]
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demo.queue(
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demo.launch()
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"""
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demo = gr.Interface(
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inference, [
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gr.Image(type="filepath", label="Input"),
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# gr.inputs.Radio(['v1.2', 'v1.3', 'v1.4', 'RestoreFormer', 'CodeFormer'], type="value", default='v1.4', label='version'),
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gr.Radio(choices=['v1.2', 'v1.3', 'v1.4', 'RestoreFormer','CodeFormer','RealESR-General-x4v3'], type="value", value='v1.4', label='version'),
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gr.Number(label="Rescaling factor", value=2),
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# gr.Slider(0, 100, label='Weight, only for CodeFormer. 0 for better quality, 100 for better identity', default=50)
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], [
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gr.Image(type="numpy", label="Output (The whole image)"),
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gr.File(label="Download the output image")
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],
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title=title,
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description=description,
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article=article,
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# examples=[['AI-generate.jpg', 'v1.4', 2, 50], ['lincoln.jpg', 'v1.4', 2, 50], ['Blake_Lively.jpg', 'v1.4', 2, 50],
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# ['10045.png', 'v1.4', 2, 50]]).launch()
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examples=[['a1.jpg', 'v1.4', 2], ['a2.jpg', 'v1.4', 2], ['a3.jpg', 'v1.4', 2],['a4.jpg', 'v1.4', 2]],
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cache_examples=False)
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demo.queue()
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demo.launch()
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requirements.txt
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@@ -1,9 +1,9 @@
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torch>=1.7
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facexlib
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numpy
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opencv-python
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torchvision
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scipy
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torch>=1.7
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git+https://github.com/XPixelGroup/BasicSR
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git+https://github.com/xinntao/facexlib
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git+https://github.com/TencentARC/GFPGAN
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git+https://github.com/xinntao/Real-ESRGAN
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numpy<2
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opencv-python
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torchvision
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scipy
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