| 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) |