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synced 2025-12-09 12:54:40 +08:00
Update GetImageRangeFromBatch to work with only masks too
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@ -43,7 +43,7 @@ NODE_CONFIG = {
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"ColorMatch": {"class": ColorMatch, "name": "Color Match"},
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"CrossFadeImages": {"class": CrossFadeImages, "name": "Cross Fade Images"},
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"GetImagesFromBatchIndexed": {"class": GetImagesFromBatchIndexed, "name": "Get Images From Batch Indexed"},
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"GetImageRangeFromBatch": {"class": GetImageRangeFromBatch, "name": "Get Image Range From Batch"},
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"GetImageRangeFromBatch": {"class": GetImageRangeFromBatch, "name": "Get Image or Mask Range From Batch"},
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"GetImageSizeAndCount": {"class": GetImageSizeAndCount, "name": "Get Image Size & Count"},
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"ImageAndMaskPreview": {"class": ImageAndMaskPreview},
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"ImageAddMulti": {"class": ImageAddMulti, "name": "Image Add Multi"},
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@ -988,25 +988,42 @@ batch, starting from start_index.
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def INPUT_TYPES(s):
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return {
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"required": {
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"images": ("IMAGE",),
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"start_index": ("INT", {"default": 0,"min": -1, "max": 4096, "step": 1}),
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"num_frames": ("INT", {"default": 1,"min": 1, "max": 4096, "step": 1}),
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},
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"optional": {
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"images": ("IMAGE",),
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"masks": ("MASK",),
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}
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}
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def imagesfrombatch(self, images, start_index, num_frames, masks=None):
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if start_index == -1:
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start_index = len(images) - num_frames
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if start_index < 0 or start_index >= len(images):
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raise ValueError("GetImageRangeFromBatch: Start index is out of range")
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end_index = start_index + num_frames
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if end_index > len(images):
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raise ValueError("GetImageRangeFromBatch: End index is out of range")
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chosen_images = images[start_index:end_index]
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chosen_masks = masks[start_index:end_index] if masks is not None else None
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def imagesfrombatch(self, start_index, num_frames, images=None, masks=None):
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chosen_images = None
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chosen_masks = None
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# Process images if provided
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if images is not None:
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if start_index == -1:
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start_index = len(images) - num_frames
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if start_index < 0 or start_index >= len(images):
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raise ValueError("Start index is out of range")
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end_index = start_index + num_frames
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if end_index > len(images):
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raise ValueError("End index is out of range")
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chosen_images = images[start_index:end_index]
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# Process masks if provided
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if masks is not None:
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if start_index == -1:
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start_index = len(masks) - num_frames
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if start_index < 0 or start_index >= len(masks):
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raise ValueError("Start index is out of range for masks")
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end_index = start_index + num_frames
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if end_index > len(masks):
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raise ValueError("End index is out of range for masks")
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chosen_masks = masks[start_index:end_index]
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return (chosen_images, chosen_masks,)
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class GetImagesFromBatchIndexed:
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