fffiloni commited on
Commit
e4bab3b
1 Parent(s): 82147a8

Update app.py

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Files changed (1) hide show
  1. app.py +3 -4
app.py CHANGED
@@ -122,11 +122,11 @@ def inference(input_image, prompt, a_prompt, n_prompt, denoise_steps, upscale, a
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  title = "Pixel-Aware Stable Diffusion for Real-ISR"
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  description = "Gradio Demo for PASD Real-ISR. To use it, simply upload your image, or click one of the examples to load them."
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  article = "<p style='text-align: center'><a href='https://github.com/yangxy/PASD' target='_blank'>Github Repo Pytorch</a></p>"
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- examples=[['samples/27d38eeb2dbbe7c9.png'],['samples/629e4da70703193b.png']]
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  demo = gr.Interface(
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  fn=inference,
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- inputs=[gr.Image(type="pil"),
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  gr.Textbox(label="Prompt", value="Asian"),
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  gr.Textbox(label="Added Prompt", value='clean, high-resolution, 8k, best quality, masterpiece'),
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  gr.Textbox(label="Negative Prompt",value='dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality'),
@@ -138,7 +138,6 @@ demo = gr.Interface(
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  outputs=gr.Image(type="pil"),
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  title=title,
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  description=description,
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- article=article,
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- examples=examples).queue(concurrency_count=1)
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  demo.launch()
 
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  title = "Pixel-Aware Stable Diffusion for Real-ISR"
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  description = "Gradio Demo for PASD Real-ISR. To use it, simply upload your image, or click one of the examples to load them."
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  article = "<p style='text-align: center'><a href='https://github.com/yangxy/PASD' target='_blank'>Github Repo Pytorch</a></p>"
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+ #examples=[['samples/27d38eeb2dbbe7c9.png'],['samples/629e4da70703193b.png']]
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  demo = gr.Interface(
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  fn=inference,
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+ inputs=[gr.Image(type="filepath", sources=["upload"]),
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  gr.Textbox(label="Prompt", value="Asian"),
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  gr.Textbox(label="Added Prompt", value='clean, high-resolution, 8k, best quality, masterpiece'),
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  gr.Textbox(label="Negative Prompt",value='dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality'),
 
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  outputs=gr.Image(type="pil"),
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  title=title,
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  description=description,
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+ article=article).queue(concurrency_count=1)
 
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  demo.launch()