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@ -2156,8 +2156,8 @@ class ReplaceImagesInBatch:
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FUNCTION = "replace"
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CATEGORY = "KJNodes/image"
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DESCRIPTION = """
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Replaces the images in a batch, starting from the specified start index,
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with the replacement images.
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Replaces the images in a batch, starting from the specified start index with step stride,
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using the replacement images.
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"""
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@classmethod
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@ -2165,6 +2165,7 @@ with the replacement images.
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return {
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"required": {
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"start_index": ("INT", {"default": 1,"min": 0, "max": 4096, "step": 1}),
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"step": ("INT", {"default": 1,"min": 1, "max": 4096, "step": 1}),
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},
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"optional": {
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"original_images": ("IMAGE",),
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@ -2174,14 +2175,14 @@ with the replacement images.
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}
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}
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def replace(self, original_images=None, replacement_images=None, start_index=1, original_masks=None, replacement_masks=None):
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def replace(self, original_images=None, replacement_images=None, start_index=1, step=1, original_masks=None, replacement_masks=None):
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images = None
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masks = None
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if original_images is not None and replacement_images is not None:
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if start_index >= len(original_images):
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raise ValueError("ReplaceImagesInBatch: Start index is out of range")
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end_index = start_index + len(replacement_images)
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end_index = start_index + len(replacement_images) * step
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if end_index > len(original_images):
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raise ValueError("ReplaceImagesInBatch: End index is out of range")
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@ -2189,7 +2190,7 @@ with the replacement images.
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if original_images_copy.shape[2] != replacement_images.shape[2] or original_images_copy.shape[3] != replacement_images.shape[3]:
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replacement_images = common_upscale(replacement_images.movedim(-1, 1), original_images_copy.shape[1], original_images_copy.shape[2], "lanczos", "center").movedim(1, -1)
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original_images_copy[start_index:end_index] = replacement_images
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original_images_copy[start_index:end_index:step] = replacement_images
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images = original_images_copy
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else:
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images = torch.zeros((1, 64, 64, 3))
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@ -2197,7 +2198,7 @@ with the replacement images.
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if original_masks is not None and replacement_masks is not None:
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if start_index >= len(original_masks):
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raise ValueError("ReplaceImagesInBatch: Start index is out of range")
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end_index = start_index + len(replacement_masks)
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end_index = start_index + len(replacement_masks) * step
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if end_index > len(original_masks):
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raise ValueError("ReplaceImagesInBatch: End index is out of range")
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@ -2205,7 +2206,7 @@ with the replacement images.
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if original_masks_copy.shape[1] != replacement_masks.shape[1] or original_masks_copy.shape[2] != replacement_masks.shape[2]:
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replacement_masks = common_upscale(replacement_masks.unsqueeze(1), original_masks_copy.shape[1], original_masks_copy.shape[2], "nearest-exact", "center").squeeze(0)
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original_masks_copy[start_index:end_index] = replacement_masks
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original_masks_copy[start_index:end_index:step] = replacement_masks
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masks = original_masks_copy
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else:
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masks = torch.zeros((1, 64, 64))
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@ -2963,6 +2964,8 @@ class LoadImagesFromFolderKJ:
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@classmethod
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def IS_CHANGED(cls, folder, **kwargs):
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if not os.path.isabs(folder) and args.base_directory:
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folder = os.path.join(args.base_directory, folder)
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if not os.path.isdir(folder):
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return float("NaN")
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@ -3032,6 +3035,8 @@ class LoadImagesFromFolderKJ:
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DESCRIPTION = """Loads images from a folder into a batch, images are resized and loaded into a batch."""
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def load_images(self, folder, width, height, image_load_cap, start_index, keep_aspect_ratio, include_subfolders=False):
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if not os.path.isabs(folder) and args.base_directory:
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folder = os.path.join(args.base_directory, folder)
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if not os.path.isdir(folder):
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raise FileNotFoundError(f"Folder '{folder} cannot be found.'")
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@ -3335,6 +3340,8 @@ class SaveStringKJ:
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filename_prefix += self.prefix_append
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full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir)
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if not os.path.isabs(output_folder) and args.base_directory:
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output_folder = os.path.join(args.base_directory, output_folder)
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if output_folder != "output":
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if not os.path.exists(output_folder):
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os.makedirs(output_folder, exist_ok=True)
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@ -3960,6 +3967,9 @@ class LoadVideosFromFolder:
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FUNCTION = "load_video"
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def load_video(self, output_type, grid_max_columns, add_label=False, **kwargs):
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if not os.path.isabs(kwargs['video']) and args.base_directory:
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kwargs['video'] = os.path.join(args.base_directory, kwargs['video'])
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if self.vhs_nodes is None:
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raise ImportError("This node requires ComfyUI-VideoHelperSuite to be installed.")
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videos_list = []
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