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https://git.datalinker.icu/kijai/ComfyUI-KJNodes.git
synced 2025-12-08 20:34:35 +08:00
Added step to ReplaceImagesInBatch
This is useful for VACE for interleaving frames
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@ -2145,7 +2145,7 @@ 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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Replaces the images in a batch, starting from the specified start index and step,
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with the replacement images.
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"""
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@ -2154,6 +2154,7 @@ 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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@ -2163,14 +2164,14 @@ 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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@ -2178,7 +2179,7 @@ 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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@ -2186,7 +2187,7 @@ 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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@ -2194,7 +2195,7 @@ 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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