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import gradio as gr
import util
import process_image
from run_cmd import run_cmd
is_colab = util.is_google_colab()
css = '''
.file-preview {
overflow: hidden !important;
margin: 5px 0 !important;
padding: 0 10px !important;
}
.file-preview div div:nth-child(2) {
flex-grow: 1 !important;
}
.file-preview div div:nth-child(3) {
text-align: right !important;
padding: 0.5rem 0;
width: auto;
}
#preview_file .h-full.min-h-\[15rem\].flex.justify-center.items-center {
min-height: initial !important;
padding: 10px 0;
}
#preview_file a {
border-radius: 0.5rem;
padding-top: 0.5rem;
padding-bottom: 0.5rem;
padding-left: 1rem;
padding-right: 1rem;
font-size: 1rem;
line-height: 1.5rem;
font-weight: 600;
color: white;
background-color: gray;
}
.colab_img {
margin: 10px 0;
display: inline-block;
margin: 0 10px;
}
'''
title = "ESRGAN Upscaling With Custom Models"
with gr.Blocks(title=title, css=css) as demo:
gr.Markdown(
f"""
# {title}
This space uses old ESRGAN architecture to upscale images, using models made by the community.
Once the photo upscaled (*it can take a long time, this space only uses CPU*).
""")
gr.HTML(value="For faster upscaling using GPU: <a href='https://colab.research.google.com/drive/1QfOA6BBdL4NrUmx-9d-pjacxNfu81HQo#scrollTo=H7qo-6AWFbLH' target='_blank'><img class='colab_img' src='https://colab.research.google.com/assets/colab-badge.svg' alt='Open In Colab'></a> buy me a coffee (beer) if this helped 🍺😁")
gr.HTML(value="<a href='https://ko-fi.com/Y8Y7GVAAF' target='_blank' style='display:block;margin-bottom:5px'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi1.png?v=3' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>")
with gr.Box():
with gr.Row():
with gr.Column():
input_image = gr.Image(type="pil", label="Input")
upscale_size = gr.Radio(["x4", "x2"], label="Upscale by:", value="x4")
upscale_type = gr.Radio(["Manga", "Anime", "Photo", "General"], label="Select the type of picture you want to upscale:", value="Manga")
with gr.Row():
upscale_btn = gr.Button(value="Upscale", variant="primary")
with gr.Column():
output_image = gr.Image(type="filepath", interactive=False, label="Upscaled image", elem_id="preview_img")
with gr.Row():
out_file = gr.File(interactive=False, show_label=False, elem_id="preview_file")
gr.HTML(value="<p><a href='https://upscale.wiki/wiki/Model_Database'>Model Database</a></p>")
upscale_btn.click(process_image.inference, inputs=[input_image, upscale_size, upscale_type], outputs=[output_image, out_file])
demo.queue()
demo.launch(debug=is_colab, share=is_colab, inline=is_colab) |