mirror of
https://github.com/comfyanonymous/ComfyUI.git
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109 lines
3.4 KiB
Python
109 lines
3.4 KiB
Python
from __future__ import annotations
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import kornia.color
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import torch
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from kornia.morphology import (
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bottom_hat,
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closing,
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dilation,
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erosion,
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gradient,
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opening,
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top_hat,
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)
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import comfy.model_management
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from comfy_api.v3 import io
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class ImageRGBToYUV(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="ImageRGBToYUV_V3",
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category="image/batch",
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inputs=[
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io.Image.Input("image"),
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],
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outputs=[
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io.Image.Output(display_name="Y"),
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io.Image.Output(display_name="U"),
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io.Image.Output(display_name="V"),
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],
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)
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@classmethod
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def execute(cls, image):
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out = kornia.color.rgb_to_ycbcr(image.movedim(-1, 1)).movedim(1, -1)
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return io.NodeOutput(out[..., 0:1].expand_as(image), out[..., 1:2].expand_as(image), out[..., 2:3].expand_as(image))
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class ImageYUVToRGB(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="ImageYUVToRGB_V3",
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category="image/batch",
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inputs=[
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io.Image.Input("Y"),
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io.Image.Input("U"),
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io.Image.Input("V"),
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],
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outputs=[
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io.Image.Output(),
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],
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)
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@classmethod
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def execute(cls, Y, U, V):
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image = torch.cat([torch.mean(Y, dim=-1, keepdim=True), torch.mean(U, dim=-1, keepdim=True), torch.mean(V, dim=-1, keepdim=True)], dim=-1)
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return io.NodeOutput(kornia.color.ycbcr_to_rgb(image.movedim(-1, 1)).movedim(1, -1))
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class Morphology(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="Morphology_V3",
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display_name="ImageMorphology _V3",
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category="image/postprocessing",
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inputs=[
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io.Image.Input("image"),
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io.Combo.Input("operation", options=["erode", "dilate", "open", "close", "gradient", "bottom_hat", "top_hat"]),
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io.Int.Input("kernel_size", default=3, min=3, max=999, step=1),
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],
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outputs=[
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io.Image.Output(),
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],
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)
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@classmethod
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def execute(cls, image, operation, kernel_size):
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device = comfy.model_management.get_torch_device()
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kernel = torch.ones(kernel_size, kernel_size, device=device)
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image_k = image.to(device).movedim(-1, 1)
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if operation == "erode":
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output = erosion(image_k, kernel)
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elif operation == "dilate":
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output = dilation(image_k, kernel)
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elif operation == "open":
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output = opening(image_k, kernel)
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elif operation == "close":
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output = closing(image_k, kernel)
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elif operation == "gradient":
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output = gradient(image_k, kernel)
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elif operation == "top_hat":
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output = top_hat(image_k, kernel)
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elif operation == "bottom_hat":
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output = bottom_hat(image_k, kernel)
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else:
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raise ValueError(f"Invalid operation {operation} for morphology. Must be one of 'erode', 'dilate', 'open', 'close', 'gradient', 'tophat', 'bottomhat'")
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return io.NodeOutput(output.to(comfy.model_management.intermediate_device()).movedim(1, -1))
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NODES_LIST = [
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ImageRGBToYUV,
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ImageYUVToRGB,
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Morphology,
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]
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