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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()
title = "ESRGAN Upscaling With Custom Models"
with gr.Blocks(title=title, fill_height=True) 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.Row():
with gr.Column():
input_image = gr.Image(
sources="upload",
type="filepath",
label="Image to upscale"
)
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="pil",
interactive=False,
label="Upscaled image",
elem_id="preview_img"
)
with gr.Row():
out_file = gr.DownloadButton(
visible=False,
)
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)
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