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import gradio as gr
VALID_CHOICES = [
"Bald",
"Young",
"Mustache",
"Eyeglasses",
"Hat",
"Smiling",
"Gender",
"Beard"
]
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 = """
<p>
<center>
This is an interactive demo of an extension of the CVPR2020 InterfaceGAN paper, 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>
<li>🌾 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>🔥 Submit!</li>
</ul>
</center>
</p>
""" |