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Author SHA1 Message Date
Terry Jia
bea22ba97a image histogram node 2026-03-25 10:19:27 -04:00

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@@ -1,5 +1,7 @@
from __future__ import annotations
import numpy as np
from comfy_api.latest import ComfyExtension, io
from comfy_api.input import CurveInput
from typing_extensions import override
@@ -32,10 +34,58 @@ class CurveEditor(io.ComfyNode):
return io.NodeOutput(result, ui=ui) if ui else io.NodeOutput(result)
class ImageHistogram(io.ComfyNode):
@classmethod
def define_schema(cls):
return io.Schema(
node_id="ImageHistogram",
display_name="Image Histogram",
category="utils",
inputs=[
io.Image.Input("image"),
],
outputs=[
io.Histogram.Output("rgb"),
io.Histogram.Output("luminance"),
io.Histogram.Output("red"),
io.Histogram.Output("green"),
io.Histogram.Output("blue"),
],
)
@classmethod
def execute(cls, image) -> io.NodeOutput:
img = image[0].cpu().numpy()
img_uint8 = np.clip(img * 255, 0, 255).astype(np.uint8)
def bincount(data):
return np.bincount(data.ravel(), minlength=256)[:256]
hist_r = bincount(img_uint8[:, :, 0])
hist_g = bincount(img_uint8[:, :, 1])
hist_b = bincount(img_uint8[:, :, 2])
# Average of R, G, B histograms (same as Photoshop's RGB composite)
rgb = ((hist_r + hist_g + hist_b) // 3).tolist()
# ITU-R BT.709-6, Item 3.2 (p.6) — Derivation of luminance signal
# https://www.itu.int/rec/R-REC-BT.709-6-201506-I/en
lum = 0.2126 * img[:, :, 0] + 0.7152 * img[:, :, 1] + 0.0722 * img[:, :, 2]
luminance = bincount(np.clip(lum * 255, 0, 255).astype(np.uint8)).tolist()
return io.NodeOutput(
rgb,
luminance,
hist_r.tolist(),
hist_g.tolist(),
hist_b.tolist(),
)
class CurveExtension(ComfyExtension):
@override
async def get_node_list(self):
return [CurveEditor]
return [CurveEditor, ImageHistogram]
async def comfy_entrypoint():