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README.md

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@@ -72,14 +72,15 @@ model = Unet(dim = 64)
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rectified_flow = RectifiedFlow(model)
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img_dataset = ImageDataset(
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folder = './jpg',
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folder = './path/to/your/images',
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image_size = 256
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)
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trainer = Trainer(
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rectified_flow,
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dataset = img_dataset,
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num_train_steps = 70_000
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num_train_steps = 70_000,
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results_folder = './results' # samples will be saved periodically to this folder
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)
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trainer()

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