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ReplaceImagesInBatch: Allow replacing only masks without images

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kijai 2025-07-03 17:51:40 +03:00
parent ff49e1b01f
commit 1f653a8d96
1 changed files with 27 additions and 16 deletions
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43
nodes/image_nodes.py
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@ -2007,25 +2007,43 @@ with the replacement images.
def INPUT_TYPES(s):
return {
"required": {
"original_images": ("IMAGE",),
"replacement_images": ("IMAGE",),
"start_index": ("INT", {"default": 1,"min": 0, "max": 4096, "step": 1}),
},
"optional": {
"original_images": ("IMAGE",),
"replacement_images": ("IMAGE",),
"original_masks": ("MASK",),
"replacement_masks": ("MASK",),
}
}
def replace(self, original_images, replacement_images, start_index, original_masks=None, replacement_masks=None):
def replace(self, original_images=None, replacement_images=None, start_index=1, original_masks=None, replacement_masks=None):
images = None
if start_index >= len(original_images):
raise ValueError("GetImageRangeFromBatch: Start index is out of range")
end_index = start_index + len(replacement_images)
if end_index > len(original_images):
raise ValueError("GetImageRangeFromBatch: End index is out of range")
masks = None
if original_images is not None and replacement_images is not None:
if start_index >= len(original_images):
raise ValueError("ReplaceImagesInBatch: Start index is out of range")
end_index = start_index + len(replacement_images)
if end_index > len(original_images):
raise ValueError("ReplaceImagesInBatch: End index is out of range")
original_images_copy = original_images.clone()
if original_images_copy.shape[2] != replacement_images.shape[2] or original_images_copy.shape[3] != replacement_images.shape[3]:
replacement_images = common_upscale(replacement_images.movedim(-1, 1), original_images_copy.shape[1], original_images_copy.shape[2], "lanczos", "center").movedim(1, -1)
original_images_copy[start_index:end_index] = replacement_images
images = original_images_copy
else:
images = torch.zeros((1, 64, 64, 3))
if original_masks is not None and replacement_masks is not None:
if start_index >= len(original_masks):
raise ValueError("ReplaceImagesInBatch: Start index is out of range")
end_index = start_index + len(replacement_masks)
if end_index > len(original_masks):
raise ValueError("ReplaceImagesInBatch: End index is out of range")
original_masks_copy = original_masks.clone()
if original_masks_copy.shape[1] != replacement_masks.shape[1] or original_masks_copy.shape[2] != replacement_masks.shape[2]:
replacement_masks = common_upscale(replacement_masks.unsqueeze(1), original_masks_copy.shape[1], original_masks_copy.shape[2], "nearest-exact", "center").squeeze(0)
@ -2033,15 +2051,8 @@ with the replacement images.
original_masks_copy[start_index:end_index] = replacement_masks
masks = original_masks_copy
else:
masks = torch.zeros(1,64,64, device=original_images.device, dtype=original_images.dtype)
masks = torch.zeros((1, 64, 64))
original_images_copy = original_images.clone()
if original_images_copy.shape[2] != replacement_images.shape[2] or original_images_copy.shape[3] != replacement_images.shape[3]:
replacement_images = common_upscale(replacement_images.movedim(-1, 1), original_images_copy.shape[1], original_images_copy.shape[2], "lanczos", "center").movedim(1, -1)
original_images_copy[start_index:end_index] = replacement_images
images = original_images_copy
return (images, masks)