BrushCue Example: Cyan Nocturne¶

Open In Colab

You can use this tool online at https://www.brushcue.com/tools/cyan-nocturne

In [ ]:
!pip install brushcue
In [1]:
import io
from PIL import Image

import brushcue as bc

input_image = bc.Composition.monet_women_with_parasol()
graded = input_image.r_g_b_curve(
    bc.Curve.gamma(1.02), bc.Curve.gamma(0.96), bc.Curve.gamma(0.88)
).saturation_adjust(0.92)
glowed = graded.bloom(0.7, 30.0, 0.15)
grained = glowed.film_grain(1.51, 150.0, 0.5, 51.0, 0.3, 300.0, 0.2)
bounds = input_image.bounds()
filtered = grained.vignette(
    bc.Vector2f.from_components((bounds.width() / 2.0), (bounds.height() / 2.0)),
    (bounds.width() / 2.0),
    (bounds.height() / 2.0),
    350.0,
    0.22,
).crop(bounds)
strength = 1.0
graph = (
    filtered.opacity_scales(strength)
    .blend_alpha(input_image, bc.Transform2.identity())
    .crop(bounds)
)

ctx = bc.Context()
composition = graph.execute(ctx)
data_bytes = composition.to_image_bytes(ctx)
img = Image.open(io.BytesIO(data_bytes))
img.thumbnail((400, 400))  # Remove this line for full resolution
img
[wgpu] using backend Metal — adapter 'Apple M5' (IntegratedGpu), driver ''
Out[1]:
No description has been provided for this image