Fix model paths, ensure we have the right files.
Also, clean up logging in the ldsr arch file.
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64c6b13312
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@ -24,13 +24,18 @@ class UpscalerLDSR(Upscaler):
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def load_model(self, path: str):
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# Remove incorrect project.yaml file if too big
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yaml_path = os.path.join(self.model_path, "project.yaml")
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old_model_path = os.path.join(self.model_path, "model.pth")
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new_model_path = os.path.join(self.model_path, "model.ckpt")
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if os.path.exists(yaml_path):
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statinfo = os.stat(yaml_path)
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if statinfo.st_size <= 10485760:
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if statinfo.st_size >= 10485760:
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print("Removing invalid LDSR YAML file.")
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os.remove(yaml_path)
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if os.path.exists(old_model_path):
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print("Renaming model from model.pth to model.ckpt")
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os.rename(old_model_path, new_model_path)
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model = load_file_from_url(url=self.model_url, model_dir=self.model_path,
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file_name="model.pth", progress=True)
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file_name="model.ckpt", progress=True)
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yaml = load_file_from_url(url=self.yaml_url, model_dir=self.model_path,
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file_name="project.yaml", progress=True)
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@ -100,7 +100,6 @@ class LDSR:
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# If we can adjust the max upscale size, then the 4 below should be our variable
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print("Foo")
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down_sample_rate = target_scale / 4
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print(f"Downsample rate is {down_sample_rate}")
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wd = width_og * down_sample_rate
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hd = height_og * down_sample_rate
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width_downsampled_pre = int(wd)
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@ -111,7 +110,7 @@ class LDSR:
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f'Downsampling from [{width_og}, {height_og}] to [{width_downsampled_pre}, {height_downsampled_pre}]')
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im_og = im_og.resize((width_downsampled_pre, height_downsampled_pre), Image.LANCZOS)
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else:
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print(f"Down sample rate is 1 from {target_scale} / 4")
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print(f"Down sample rate is 1 from {target_scale} / 4 (Not downsampling)")
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logs = self.run(model["model"], im_og, diffusion_steps, eta)
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sample = logs["sample"]
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