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 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: + 🌾 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) + 🛠Select the coefficient of modification (higher value means stronger modification) + 🔥 Submit! Check the original repo as well as the extended version of the work.
""" # description = """ ##