27 lines
1.0 KiB
Python
27 lines
1.0 KiB
Python
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import nodes
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import torch
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import comfy.model_management
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class EmptyMochiLatentVideo:
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def __init__(self):
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self.device = comfy.model_management.intermediate_device()
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@classmethod
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def INPUT_TYPES(s):
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return {"required": { "width": ("INT", {"default": 848, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}),
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"height": ("INT", {"default": 480, "min": 16, "max": nodes.MAX_RESOLUTION, "step": 16}),
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"length": ("INT", {"default": 25, "min": 7, "max": nodes.MAX_RESOLUTION, "step": 6}),
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"batch_size": ("INT", {"default": 1, "min": 1, "max": 4096})}}
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RETURN_TYPES = ("LATENT",)
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FUNCTION = "generate"
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CATEGORY = "latent/mochi"
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def generate(self, width, height, length, batch_size=1):
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latent = torch.zeros([batch_size, 12, ((length - 1) // 6) + 1, height // 8, width // 8], device=self.device)
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return ({"samples":latent}, )
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NODE_CLASS_MAPPINGS = {
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"EmptyMochiLatentVideo": EmptyMochiLatentVideo,
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}
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