40 lines
1.0 KiB
Python
40 lines
1.0 KiB
Python
import torch
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class VideoMerge:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"Video_A": ("IMAGE",),
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"Video_B": ("IMAGE",),
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},
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}
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "merge_videos"
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CATEGORY = "🎬🔀MediaMixer"
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def merge_videos(self, Video_A, Video_B):
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# Ensure both inputs are 4D tensors
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if Video_A.dim() == 3:
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Video_A = Video_A.unsqueeze(0)
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if Video_B.dim() == 3:
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Video_B = Video_B.unsqueeze(0)
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# Concatenate the images along the first dimension (batch dimension)
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Video = torch.cat((Video_A, Video_B), dim=0)
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return (Video,)
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# A dictionary that contains all nodes you want to export with their names
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NODE_CLASS_MAPPINGS = {
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"VideoMerge": VideoMerge
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}
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# A dictionary that contains the friendly/humanly readable titles for the nodes
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NODE_DISPLAY_NAME_MAPPINGS = {
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"VideoMerge": "Video Merge"
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} |