60 lines
2.5 KiB
Python
60 lines
2.5 KiB
Python
from comfy_api.latest import io
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from ..modelLikeCommon import calculate_patches
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from inspect import cleandoc
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from ..helper_functions import commonLazy
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class CLIPMathNodeOLD(io.ComfyNode):
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"""
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This node enables the use of math expressions on CLIP weights.
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"""
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@classmethod
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def define_schema(cls) -> io.Schema:
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return io.Schema(
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node_id="mrmth_CLIPMathNode",
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display_name="CLIP Math",
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category="More math",
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is_deprecated=True,
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inputs=[
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io.Clip.Input(id="a", tooltip="Main CLIP (base)"),
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io.Clip.Input(id="b", optional=True, lazy=True, tooltip="Optional 2nd CLIP"),
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io.Clip.Input(id="c", optional=True, lazy=True, tooltip="Optional 3rd CLIP"),
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io.Clip.Input(id="d", optional=True, lazy=True, tooltip="Optional 4th CLIP"),
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io.Float.Input(id="w", default=0.0, optional=True, lazy=True, force_input=True),
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io.Float.Input(id="x", default=0.0, optional=True, lazy=True, force_input=True),
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io.Float.Input(id="y", default=0.0, optional=True, lazy=True, force_input=True),
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io.Float.Input(id="z", default=0.0, optional=True, lazy=True, force_input=True),
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io.String.Input(id="Model", default="a*(1-w)+b*w", tooltip="Expression to apply on weights"),
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io.Combo.Input(
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id="length_mismatch",
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options=["error", "passthrough", "pad"],
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default="error",
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tooltip="How to handle mismatched layer counts. For models, this usually defaults to broadcast (zero for missing layers)."
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)
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],
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outputs=[
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io.Clip.Output(),
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],
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)
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tooltip = cleandoc(__doc__)
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@classmethod
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def check_lazy_status(cls, Model, a, b=[], c=[], d=[], w=0, x=0, y=0, z=0, length_mismatch="tile"):
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return commonLazy(Model, a, b, c, d, w, x, y, z)
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@classmethod
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def execute(cls, Model, a, b=None, c=None, d=None, w=0.0, x=0.0, y=0.0, z=0.0, length_mismatch="tile") -> io.NodeOutput:
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patcher_a = a.patcher
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patcher_b = b.patcher if b else None
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patcher_c = c.patcher if c else None
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patcher_d = d.patcher if d else None
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patches = calculate_patches(Model, patcher_a, patcher_b, patcher_c, patcher_d, w, x, y, z)
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out_clip = a.clone()
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if patches:
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out_clip.add_patches(patches, 1.0, 1.0)
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return (out_clip,)
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