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Update app.py
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app.py
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@@ -1,3 +1,5 @@
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import os
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import requests
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import time
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@@ -18,8 +20,6 @@ from RealESRGAN import RealESRGAN
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import gradio as gr
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from gradio_imageslider import ImageSlider
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import spaces
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USE_TORCH_COMPILE = os.getenv("USE_TORCH_COMPILE", "0") == "1"
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ENABLE_CPU_OFFLOAD = os.getenv("ENABLE_CPU_OFFLOAD", "0") == "1"
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@@ -132,7 +132,9 @@ class LazyRealESRGAN:
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return self.model.predict(img)
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lazy_realesrgan_x2 = LazyRealESRGAN(device, scale=2)
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lazy_realesrgan_x4 = LazyRealESRGAN(device, scale=4)
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@timer_func
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def resize_and_upscale(input_image, resolution):
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@@ -165,6 +167,7 @@ def create_hdr_effect(original_image, hdr):
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lazy_pipe = LazyLoadPipeline()
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lazy_pipe.load()
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def prepare_image(input_image, resolution, hdr):
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condition_image = resize_and_upscale(input_image, resolution)
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import spaces
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import os
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import requests
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import time
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import gradio as gr
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from gradio_imageslider import ImageSlider
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USE_TORCH_COMPILE = os.getenv("USE_TORCH_COMPILE", "0") == "1"
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ENABLE_CPU_OFFLOAD = os.getenv("ENABLE_CPU_OFFLOAD", "0") == "1"
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return self.model.predict(img)
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lazy_realesrgan_x2 = LazyRealESRGAN(device, scale=2)
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lazy_realesrgan_x2 = torch.compile(lazy_realesrgan_x2)
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lazy_realesrgan_x4 = LazyRealESRGAN(device, scale=4)
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lazy_realesrgan_x4 = torch.compile(lazy_realesrgan_x4)
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@timer_func
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def resize_and_upscale(input_image, resolution):
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lazy_pipe = LazyLoadPipeline()
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lazy_pipe.load()
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lazy_pipe = lazy_pipe.to('cuda')
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def prepare_image(input_image, resolution, hdr):
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condition_image = resize_and_upscale(input_image, resolution)
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