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Runtime error
| import os | |
| import gradio as gr | |
| from PIL import Image | |
| os.system("git clone https://github.com/AK391/projected_gan.git") | |
| os.chdir("projected_gan") | |
| os.mkdir("outputs") | |
| os.system("gdown --id '1bjulr4yfazDmT-ZnFLZPLDyTPVf8gCCU'") | |
| def inference(truncation,seeds): | |
| os.system("python gen_images.py --outdir=./outputs/ --trunc="+str(truncation)+" --seeds="+str(int(seeds))+" --network=network-snapshot.pkl") | |
| seeds = int(seeds) | |
| image = Image.open(f"./outputs/seed{seeds:04d}.png") | |
| return image | |
| title = "Projected GAN" | |
| description = "Gradio demo for Projected GAN. To use it, add seed and truncation, or click one of the examples to load them. Read more at the links below." | |
| article = "<p style='text-align: center'><a href='http://www.cvlibs.net/publications/Sauer2021NEURIPS.pdf' target='_blank'>Projected GANs Converge Faster</a> | <a href='https://github.com/autonomousvision/projected_gan' target='_blank'>Github Repo</p><center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_projected_gan' alt='visitor badge'></center>" | |
| gr.Interface(inference,[gr.inputs.Slider(label="truncation",minimum=0, maximum=5, step=0.1, default=0.8),gr.inputs.Slider(label="Seed",minimum=0, maximum=1000, step=1, default=0)],"pil",title=title,description=description,article=article, examples=[ | |
| [0.8,0] | |
| ]).launch(enable_queue=True,cache_examples=True) |