nodes/mcDandy-more_math
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cleanup of menu

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mcDandy
2026-09-10 17:57:39 +02:00
parent af2f84468b
commit 13cce62633
20 changed files with 23 additions and 23 deletions
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README.md
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@@ -185,7 +185,7 @@ You can also get the node from comfy manager under the name of More math.
- `smax(x, ...[, dims])`: scalar maximum across inputs; optionally reduce the first tensor/list input across `dims`.
#### 2.3 Sorting / Selection / Indices
- `sort(x)`: tensors are sorted along the last dimension (`dim=-1`); lists use Python sorting.
- `sort(x, [descending], [dim])`: tensors are sorted along the specified dimension (`dim`); if `dim` is not specified, it defaults to the last dimension (`dim=-1`); lists use Python sorting.
- `argsort(x, [descending], [dim])`: returns indices along `dim` (defaults to last dimension); `descending` defaults to `false`.
- `argmin(x, [as_position])`: global minimum index for tensors; when `as_position` is truthy, returns coordinates as a list.
- `argmax(x, [as_position])`: global maximum index for tensors; when `as_position` is truthy, returns coordinates as a list.
more_math/AudioMathNode.py
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@@ -33,7 +33,7 @@ class AudioMathNode(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="mrmth_ag_AudioMathNode",
category="More math",
category="More math/math",
display_name="Audio math",
inputs=[
io.Autogrow.Input(id="V",template=io.Autogrow.TemplatePrefix(io.Audio.Input("values", optional=True), prefix="V", min=1, max=50)),
more_math/AudioToSpectrogramNode.py
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@@ -15,7 +15,7 @@ class AudioToSpectrogram(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="mrmth_AudioToImageSpectrogram",
category="More math",
category="More math/converters",
display_name="Audio -> Spectrogram",
inputs=[
io.Audio.Input(id="audio", tooltip="Input audio"),
more_math/ClipMathNode.py
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@@ -19,7 +19,7 @@ class CLIPMathNode(io.ComfyNode):
return io.Schema(
node_id="mrmth_ag_CLIPMathNode",
display_name="CLIP Math",
category="More math",
category="More math/math",
inputs=[
io.Autogrow.Input(id="V",template=io.Autogrow.TemplatePrefix(io.Clip.Input("values"), prefix="V", min=1, max=50)),
io.Autogrow.Input(id="F", template=io.Autogrow.TemplatePrefix(io.Float.Input("float", default=0.0, optional=True, lazy=True, force_input=True), prefix="F", min=1, max=50)),
more_math/ConditioningMathNode.py
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@@ -21,7 +21,7 @@ class ConditioningMathNode(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="mrmth_ag_ConditioningMathNode",
category="More math",
category="More math/math",
display_name="Conditioning math",
inputs=[
io.Autogrow.Input(id="V",template=io.Autogrow.TemplatePrefix(io.Conditioning.Input("values"), prefix="V", min=1, max=50)),
more_math/FloatMathNode.py
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@@ -23,7 +23,7 @@ class FloatMathNode(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="mrmth_ag_FloatMathNode",
category="More math",
category="More math/math",
display_name="Float math",
inputs=[
io.Autogrow.Input(
more_math/GuiderMathNode.py
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@@ -31,7 +31,7 @@ class GuiderMathNode(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="mrmth_ag_GuiderMathNode",
category="More math",
category="More math/math",
display_name="Guider math",
inputs=[
io.Autogrow.Input(id="V", template=io.Autogrow.TemplatePrefix(io.Guider.Input("values"), prefix="V", min=1, max=50)),
more_math/ImageMathNode.py
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@@ -22,7 +22,7 @@ class ImageMathNode(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="mrmth_ag_ImageMathNode",
category="More math",
category="More math/math",
display_name="Image math",
inputs=[
io.Autogrow.Input(id="V",template=io.Autogrow.TemplatePrefix(io.Image.Input("values"), prefix="V", min=1, max=50)),
more_math/LatentMathNode.py
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@@ -35,7 +35,7 @@ class LatentMathNode(io.ComfyNode):
return io.Schema(
node_id="mrmth_ag_LatentMathNode",
display_name="Latent math",
category="More math",
category="More math/math",
inputs=[
io.Autogrow.Input(id="V",template=io.Autogrow.TemplatePrefix(io.Latent.Input("values"), prefix="V", min=1, max=50)),
io.Autogrow.Input(id="F", template=io.Autogrow.TemplatePrefix(io.Float.Input("float", default=0.0, optional=True, lazy=True, force_input=True), prefix="F", min=1, max=50)),
more_math/LoraMathNode.py
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@@ -23,7 +23,7 @@ class LoraMathNode(io.ComfyNode):
return io.Schema(
node_id="mrmth_ag_LoraMathNode",
display_name="Lora Math",
category="More math",
category="More math/math",
inputs=[
io.Autogrow.Input(id="V", template=io.Autogrow.TemplatePrefix(io.LoraModel.Input("values"), prefix="V", min=1, max=50)),
io.Autogrow.Input(id="F", template=io.Autogrow.TemplatePrefix(io.Float.Input("float", default=0.0, optional=True, lazy=True, force_input=True), prefix="F", min=1, max=50)),
more_math/MaskMathNode.py
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@@ -21,7 +21,7 @@ class MaskMathNode(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="mrmth_ag_MaskMathNode",
category="More math",
category="More math/math",
display_name="Mask math",
inputs=[
io.Autogrow.Input(id="V",template=io.Autogrow.TemplatePrefix(io.Mask.Input("values"), prefix="V", min=1, max=50)),
more_math/ModelMathNode.py
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@@ -19,7 +19,7 @@ class ModelMathNode(io.ComfyNode):
return io.Schema(
node_id="mrmth_ag_ModelMathNode",
display_name="Model Math",
category="More math",
category="More math/math",
inputs=[
io.Autogrow.Input(id="V",template=io.Autogrow.TemplatePrefix(io.Model.Input("values"), prefix="V", min=1, max=50)),
io.Autogrow.Input(id="F", template=io.Autogrow.TemplatePrefix(io.Float.Input("float", default=0.0, optional=True, lazy=True, force_input=True), prefix="F", min=1, max=50)),
more_math/NoiseMathNode.py
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@@ -27,7 +27,7 @@ class NoiseMathNode(io.ComfyNode):
return io.Schema(
node_id="mrmth_ag_NoiseMathNode",
display_name="Noise math",
category="More math",
category="More math/math",
inputs=[
io.Autogrow.Input(id="V",template=io.Autogrow.TemplatePrefix(io.Noise.Input("values"), prefix="V", min=1, max=50)),
io.Autogrow.Input(id="F", template=io.Autogrow.TemplatePrefix(io.Float.Input("float", default=0.0, optional=True, lazy=True, force_input=True), prefix="F", min=1, max=50)),
more_math/SelectiveGuiderMathNode.py
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@@ -17,7 +17,7 @@ class SelectiveGuiderMathNode(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="mrmth_ag_SelectiveGuiderMathNode",
category="More math",
category="More math/math",
display_name="Selective guider math",
inputs=[
io.Guider.Input("V"),
more_math/SigmasMathNode.py
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@@ -19,7 +19,7 @@ class SigmasMathNode(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="mrmth_ag_SigmasMathNode",
category="More math",
category="More math/math",
display_name="Sigmas math",
inputs=[
io.Autogrow.Input(id="V",template=io.Autogrow.TemplatePrefix(io.Sigmas.Input("values"), prefix="V", min=1, max=50)),
more_math/SpectrogramToAudioNode.py
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@@ -14,7 +14,7 @@ class SpectrogramToAudio(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="mrmth_ImageSpectrogramToAudio",
category="More math",
category="More math/converters",
display_name="Spectrogram -> Audio",
inputs=[
io.Image.Input(id="image", tooltip="Input spectrogram image (R=Real, G=Magnitude, B=Imaginary)"),
more_math/StringMathNode.py
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@@ -25,7 +25,7 @@ class StringMathNode(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="mrmth_ag_StringMathNode",
category="More math",
category="More math/math",
display_name="String math",
inputs=[
io.Autogrow.Input(id="V",template=io.Autogrow.TemplatePrefix(io.String.Input("values"), prefix="V", min=1, max=50)),
more_math/VaeMathNode.py
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@@ -16,7 +16,7 @@ class VAEMathNode(io.ComfyNode):
return io.Schema(
node_id="mrmth_ag_VAEMathNode",
display_name="VAE Math",
category="More math",
category="More math/math",
inputs=[
io.Autogrow.Input(id="V",template=io.Autogrow.TemplatePrefix(io.Vae.Input("values"), prefix="V", min=1, max=50)),
io.Autogrow.Input(id="F", template=io.Autogrow.TemplatePrefix(io.Float.Input("float", default=0.0, optional=True, lazy=True, force_input=True), prefix="F", min=1, max=50)),
more_math/VideoMathNode.py
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@@ -58,7 +58,7 @@ class VideoMathNode(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="mrmth_ag_VideoMathNode",
category="More math",
category="More math/math",
display_name="Video math",
inputs=[
io.Autogrow.Input(id="V",template=io.Autogrow.TemplatePrefix(io.Video.Input("values"), prefix="V", min=1, max=50)),
more_math/nodes.py
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@@ -49,7 +49,7 @@ class IntToFloatNode(io.ComfyNode):
return io.Schema(
node_id="mrmth_IntToFloat",
display_name="Int -> Float",
category="More math",
category="More math/converters",
inputs=[
io.Int.Input(id="value", default=0),
],
@@ -73,7 +73,7 @@ class FloatToIntNode(io.ComfyNode):
""" """
return io.Schema(
node_id="mrmth_FloatToInt",
category="More math",
category="More math/converters",
display_name="Float -> Int",
inputs=[
io.Float.Input(id="value", default=0.0),
@@ -98,7 +98,7 @@ class BoolToIntNode(io.ComfyNode):
return io.Schema(
node_id="mrmth_BoolToInt",
display_name="Bool -> Int",
category="More math",
category="More math/converters",
inputs=[
io.Boolean.Input(id="value", default=0),
],
@@ -122,7 +122,7 @@ class IntToBoolNode(io.ComfyNode):
""" """
return io.Schema(
node_id="mrmth_IntToBool",
category="More math",
category="More math/converters",
display_name="Int -> bool",
inputs=[
io.Int.Input(id="value", default=0.0),