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[V3] convert nodes_freelunch.py to the V3 schema #10904

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Merged
Kosinkadink merged 1 commit into from
Dec 6, 2025
+59 −39
Merged

[V3] convert nodes_freelunch.py to the V3 schema #10904

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93 changes: 59 additions & 34 deletions comfy_extras/nodes_freelunch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,8 @@

import torch
import logging
from typing_extensions import override
from comfy_api.latest import ComfyExtension, IO

def Fourier_filter(x, threshold, scale):
# FFT
Expand All @@ -22,21 +24,26 @@ def Fourier_filter(x, threshold, scale):
return x_filtered.to(x.dtype)


class FreeU:
class FreeU(IO.ComfyNode):
@classmethod
def INPUT_TYPES(s):
return {"required": { "model": ("MODEL",),
"b1": ("FLOAT", {"default": 1.1, "min": 0.0, "max": 10.0, "step": 0.01}),
"b2": ("FLOAT", {"default": 1.2, "min": 0.0, "max": 10.0, "step": 0.01}),
"s1": ("FLOAT", {"default": 0.9, "min": 0.0, "max": 10.0, "step": 0.01}),
"s2": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 10.0, "step": 0.01}),
}}
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"

CATEGORY = "model_patches/unet"

def patch(self, model, b1, b2, s1, s2):
def define_schema(cls):
return IO.Schema(
node_id="FreeU",
category="model_patches/unet",
inputs=[
IO.Model.Input("model"),
IO.Float.Input("b1", default=1.1, min=0.0, max=10.0, step=0.01),
IO.Float.Input("b2", default=1.2, min=0.0, max=10.0, step=0.01),
IO.Float.Input("s1", default=0.9, min=0.0, max=10.0, step=0.01),
IO.Float.Input("s2", default=0.2, min=0.0, max=10.0, step=0.01),
],
outputs=[
IO.Model.Output(),
],
)

@classmethod
def execute(cls, model, b1, b2, s1, s2) -> IO.NodeOutput:
model_channels = model.model.model_config.unet_config["model_channels"]
scale_dict = {model_channels * 4: (b1, s1), model_channels * 2: (b2, s2)}
on_cpu_devices = {}
Expand All @@ -59,23 +66,31 @@ def output_block_patch(h, hsp, transformer_options):

m = model.clone()
m.set_model_output_block_patch(output_block_patch)
return (m, )
return IO.NodeOutput(m)

patch = execute # TODO: remove


class FreeU_V2(IO.ComfyNode):
@classmethod
def define_schema(cls):
return IO.Schema(
node_id="FreeU_V2",
category="model_patches/unet",
inputs=[
IO.Model.Input("model"),
IO.Float.Input("b1", default=1.3, min=0.0, max=10.0, step=0.01),
IO.Float.Input("b2", default=1.4, min=0.0, max=10.0, step=0.01),
IO.Float.Input("s1", default=0.9, min=0.0, max=10.0, step=0.01),
IO.Float.Input("s2", default=0.2, min=0.0, max=10.0, step=0.01),
],
outputs=[
IO.Model.Output(),
],
)

class FreeU_V2:
@classmethod
def INPUT_TYPES(s):
return {"required": { "model": ("MODEL",),
"b1": ("FLOAT", {"default": 1.3, "min": 0.0, "max": 10.0, "step": 0.01}),
"b2": ("FLOAT", {"default": 1.4, "min": 0.0, "max": 10.0, "step": 0.01}),
"s1": ("FLOAT", {"default": 0.9, "min": 0.0, "max": 10.0, "step": 0.01}),
"s2": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 10.0, "step": 0.01}),
}}
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"

CATEGORY = "model_patches/unet"

def patch(self, model, b1, b2, s1, s2):
def execute(cls, model, b1, b2, s1, s2) -> IO.NodeOutput:
model_channels = model.model.model_config.unet_config["model_channels"]
scale_dict = {model_channels * 4: (b1, s1), model_channels * 2: (b2, s2)}
on_cpu_devices = {}
Expand Down Expand Up @@ -105,9 +120,19 @@ def output_block_patch(h, hsp, transformer_options):

m = model.clone()
m.set_model_output_block_patch(output_block_patch)
return (m, )
return IO.NodeOutput(m)

patch = execute # TODO: remove


class FreelunchExtension(ComfyExtension):
@override
async def get_node_list(self) -> list[type[IO.ComfyNode]]:
return [
FreeU,
FreeU_V2,
]


NODE_CLASS_MAPPINGS = {
"FreeU": FreeU,
"FreeU_V2": FreeU_V2,
}
async def comfy_entrypoint() -> FreelunchExtension:
return FreelunchExtension()
5 changes: 0 additions & 5 deletions comfy_extras/nodes_model_downscale.py
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Original file line number Diff line number Diff line change
Expand Up @@ -53,11 +53,6 @@ def output_block_patch(h, hsp, transformer_options):
return io.NodeOutput(m)


NODE_DISPLAY_NAME_MAPPINGS = {
# Sampling
"PatchModelAddDownscale": "",
}

class ModelDownscaleExtension(ComfyExtension):
@override
async def get_node_list(self) -> list[type[io.ComfyNode]]:
Expand Down