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delete gdown
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app.py
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@@ -1,20 +1,16 @@
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import torch
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from PIL import Image
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import numpy as np
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from
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import os
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import gradio as gr
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os.system("gdown https://drive.google.com/uc?id=1pG2S3sYvSaO0V0B8QPOl1RapPHpUGOaV -O RealESRGAN_x2.pth")
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os.system("gdown https://drive.google.com/uc?id=1SGHdZAln4en65_NQeQY9UjchtkEF9f5F -O RealESRGAN_x4.pth")
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os.system("gdown https://drive.google.com/uc?id=1mT9ewx86PSrc43b-ax47l1E2UzR7Ln4j -O RealESRGAN_x8.pth")
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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model2 = RealESRGAN(device, scale=2)
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model2.load_weights('RealESRGAN_x2.pth')
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model4 = RealESRGAN(device, scale=4)
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model4.load_weights('RealESRGAN_x4.pth')
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model8 = RealESRGAN(device, scale=8)
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model8.load_weights('RealESRGAN_x8.pth')
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def inference(image: Image, size: str) -> Image:
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@@ -31,13 +27,14 @@ title = "Face Real ESRGAN: 2x 4x 8x"
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description = "This is an unofficial demo for Real-ESRGAN. Scales the resolution of a photo. This model shows better results on faces compared to the original version.<br>Telegram BOT: https://t.me/restoration_photo_bot"
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article = "<div style='text-align: center;'>Twitter <a href='https://twitter.com/DoEvent' target='_blank'>Max Skobeev</a> | <a href='https://huggingface.co/sberbank-ai/Real-ESRGAN' target='_blank'>Model card</a> <center><img src='https://visitor-badge.glitch.me/badge?page_id=max_skobeev_face_esrgan' alt='visitor badge'></center></div>"
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gr.Interface(inference,
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[gr.
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gr.
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type="value",
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label='Resolution model')],
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gr.
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title=title,
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description=description,
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article=article,
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@@ -45,5 +42,5 @@ gr.Interface(inference,
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allow_flagging='never',
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theme="default",
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cache_examples=False,
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).queue().launch()
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import torch
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from PIL import Image
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import numpy as np
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from RealESRGAN import RealESRGAN
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import gradio as gr
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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model2 = RealESRGAN(device, scale=2)
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model2.load_weights('weights/RealESRGAN_x2.pth', download=True)
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model4 = RealESRGAN(device, scale=4)
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model4.load_weights('weights/RealESRGAN_x4.pth', download=True)
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model8 = RealESRGAN(device, scale=8)
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model8.load_weights('weights/RealESRGAN_x8.pth', download=True)
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def inference(image: Image, size: str) -> Image:
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description = "This is an unofficial demo for Real-ESRGAN. Scales the resolution of a photo. This model shows better results on faces compared to the original version.<br>Telegram BOT: https://t.me/restoration_photo_bot"
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article = "<div style='text-align: center;'>Twitter <a href='https://twitter.com/DoEvent' target='_blank'>Max Skobeev</a> | <a href='https://huggingface.co/sberbank-ai/Real-ESRGAN' target='_blank'>Model card</a> <center><img src='https://visitor-badge.glitch.me/badge?page_id=max_skobeev_face_esrgan' alt='visitor badge'></center></div>"
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gr.Interface(inference,
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[gr.Image(type="pil"),
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gr.Radio(['2x', '4x', '8x'],
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type="value",
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value='2x',
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label='Resolution model')],
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gr.Image(type="pil", label="Output"),
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title=title,
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description=description,
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article=article,
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allow_flagging='never',
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theme="default",
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cache_examples=False,
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).queue().launch(show_error=True)
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