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* Move dataset/text nodes to text category * Rename category utils into utilities * Rename category api node into partner * Move categories conditioning, latent, sampling, model_patches, training, etc. under model category * Dispatch partner nodes in to 3d, audio, image, text, video categories * Move PreviewAny node to utilities category
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
from comfy_api.latest import ComfyExtension, io
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from typing_extensions import override
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class ScaleROPE(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="ScaleROPE",
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category="model/patch",
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description="Scale and shift the ROPE of the model.",
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is_experimental=True,
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inputs=[
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io.Model.Input("model"),
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io.Float.Input("scale_x", default=1.0, min=0.0, max=100.0, step=0.1, advanced=True),
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io.Float.Input("shift_x", default=0.0, min=-256.0, max=256.0, step=0.1, advanced=True),
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io.Float.Input("scale_y", default=1.0, min=0.0, max=100.0, step=0.1, advanced=True),
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io.Float.Input("shift_y", default=0.0, min=-256.0, max=256.0, step=0.1, advanced=True),
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io.Float.Input("scale_t", default=1.0, min=0.0, max=100.0, step=0.1, advanced=True),
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io.Float.Input("shift_t", default=0.0, min=-256.0, max=256.0, step=0.1, advanced=True),
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],
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outputs=[
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io.Model.Output(),
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],
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)
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@classmethod
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def execute(cls, model, scale_x, shift_x, scale_y, shift_y, scale_t, shift_t) -> io.NodeOutput:
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m = model.clone()
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m.set_model_rope_options(scale_x, shift_x, scale_y, shift_y, scale_t, shift_t)
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return io.NodeOutput(m)
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class RopeExtension(ComfyExtension):
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@override
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async def get_node_list(self) -> list[type[io.ComfyNode]]:
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return [
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ScaleROPE
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]
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async def comfy_entrypoint() -> RopeExtension:
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return RopeExtension()
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