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import gradio as gr
VALID_CHOICES = [
"Bald",
"Young",
"Mustache",
"Eyeglasses",
"Hat",
"Smiling",
"Gray_Hair",
]
ENABLE_GPU = False
MODEL_NAME = "stylegan_ffhq"
OUTPUT_LIST = [
gr.outputs.Image(type="pil", label="Generated Images"),
gr.outputs.Image(type="pil", label="Modified Images"),
]
description = """
This is an interactive demo of an extension of the <a href="https://genforce.github.io/interfacegan/">CVPR2020 InterfaceGAN paper</a>, by adding other attributes such as Hat, Bald, etc. to the generated images. Here is a step-by-step guide to use this interface:
+ πΎ Select the Random seed you want to use to generate the images
+ 🗂 Select the list of attributes you want to modify (of course, you can mix several attributes)
+ π Select the coefficient of modification (higher value means stronger modification)
+ π₯ Submit!
Check the <a href="https://github.com/genforce/interfacegan">original repo</a> as well as the <a href="https://github.com/younesbelkada/interfacegan">extended version of the work</a>.
</center>
</p>
"""
# description = """
# <p>
# <center>
# <style type="text/css">
# .nobull {
# list-style-type: none;
# }
# </style>
# This is an interactive demo of an extension of the <a href="https://genforce.github.io/interfacegan/">CVPR2020 InterfaceGAN paper</a>, by adding other attributes such as Hat, Bald, etc. to the generated images. Here is a step-by-step guide to use this interface:
# <ul style="nobull">
# <li>πΎ Select the Random seed you want to use to generate the images</li>
# <li>🗂 Select the list of attributes you want to modify (of course, you can mix several attributes)</li>
# <li>π Select the coefficient of modification (higher value means stronger modification)</li>
# <li>π₯ Submit!</li>
# </ul>
# Check the <a href="https://github.com/genforce/interfacegan">original repo</a> as well as the <a href="https://github.com/younesbelkada/interfacegan">extended version of the work</a>.
# </center>
# </p>
# """
title = "InterfaceGAN++ Demo" |