Optimize Dumas image compare conversion path
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@@ -7,6 +7,19 @@ from PIL import Image
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import folder_paths
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def _tensor_image_to_pil_image(tensor):
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image_tensor = tensor[0]
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if hasattr(image_tensor, "mul") and hasattr(image_tensor, "clamp"):
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image_array = image_tensor.mul(255).clamp(0, 255)
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if hasattr(image_array, "byte"):
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image_array = image_array.byte()
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image_array = image_array.cpu().numpy()
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return Image.fromarray(image_array)
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image_array = 255.0 * image_tensor.cpu().numpy()
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return Image.fromarray(np.clip(image_array, 0, 255).astype(np.uint8))
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class DumasImageCompareNode:
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DESCRIPTION = (
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"Dumas Image Compare shows the difference between two images directly on "
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@@ -54,25 +67,29 @@ class DumasImageCompareNode:
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}
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def compare_images(self, image1=None, image2=None):
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pairs = ((1, image1), (2, image2))
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present = [(slot, tensor) for slot, tensor in pairs if tensor is not None]
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present = []
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if image1 is not None:
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present.append((1, image1))
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if image2 is not None:
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present.append((2, image2))
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results = []
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if present:
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first_tensor = present[0][1]
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prefix = "dumas_compare" + self.prefix_append
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first_image = first_tensor[0]
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full_output_folder, filename, counter, subfolder, _ = folder_paths.get_save_image_path(
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prefix,
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self.output_dir,
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first_tensor[0].shape[1],
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first_tensor[0].shape[0],
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first_image.shape[1],
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first_image.shape[0],
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)
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join_path = os.path.join
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for slot, tensor in present:
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image_array = 255.0 * tensor[0].cpu().numpy()
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image = Image.fromarray(np.clip(image_array, 0, 255).astype(np.uint8))
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image = _tensor_image_to_pil_image(tensor)
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file_name = f"{filename}_{counter:05}_.png"
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image.save(
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os.path.join(full_output_folder, file_name),
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join_path(full_output_folder, file_name),
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compress_level=self.compress_level,
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)
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results.append(
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