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@@ -41,6 +41,11 @@ def get_batch(keys, value_dict, N, device="cuda"):
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.to(device)
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.repeat(*N, 1)
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)
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batch_uc["original_size_as_tuple"] = (
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torch.tensor([value_dict["orig_height"], value_dict["orig_width"]])
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.to(device)
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.repeat(*N, 1) / 2
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)
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elif key == "crop_coords_top_left":
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batch["crop_coords_top_left"] = (
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torch.tensor(
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@@ -104,7 +109,7 @@ with torch.no_grad():
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model.conditioner.embedders[1].device = 'cpu'
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value_dict = {
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"prompt": "a handsome man in forest", "negative_prompt": "ugly, bad", "orig_height": 1024, "orig_width": 1024,
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"prompt": "dragon, digital art", "negative_prompt": "ugly, bad", "orig_height": 1024, "orig_width": 1024,
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"crop_coords_top": 0, "crop_coords_left": 0, "target_height": 1024, "target_width": 1024, "aesthetic_score": 7.5,
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"negative_aesthetic_score": 2.0,
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}
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