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39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
from __future__ import annotations
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import torch
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import comfy.model_management
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import nodes
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from comfy_api.latest import io
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class EmptyMochiLatentVideo(io.ComfyNode):
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@classmethod
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def define_schema(cls):
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return io.Schema(
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node_id="EmptyMochiLatentVideo_V3",
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category="latent/video",
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inputs=[
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io.Int.Input("width", default=848, min=16, max=nodes.MAX_RESOLUTION, step=16),
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io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16),
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io.Int.Input("length", default=25, min=7, max=nodes.MAX_RESOLUTION, step=6),
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io.Int.Input("batch_size", default=1, min=1, max=4096),
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],
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outputs=[
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io.Latent.Output(),
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],
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)
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@classmethod
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def execute(cls, width, height, length, batch_size=1):
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latent = torch.zeros(
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[batch_size, 12, ((length - 1) // 6) + 1, height // 8, width // 8],
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device=comfy.model_management.intermediate_device(),
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)
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return io.NodeOutput({"samples": latent})
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NODES_LIST = [
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EmptyMochiLatentVideo,
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]
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