BrushCue Example: Salt Flat¶

Open In Colab

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

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

import brushcue as bc

input_image = bc.Composition.monet_women_with_parasol()
strength = 1.0
toned = (
    input_image.saturation_adjust((1.0 - (0.4 * strength)))
    .color_transformer_shader(
        "let highlight_weight = smoothstep(0.3, 0.85, input.r);\n  let tint = mix(shadow_tint, highlight_tint, highlight_weight) * amount;\n  return vec4<f32>(input.r, input.g + tint.x, input.b + tint.y, input.a);",
        "",
        bc.ColorRepresentation.oklab_a(),
        bc.ColorRepresentation.oklab_a(),
        bc.Dictionary.create()
        .add("amount", strength)
        .add("shadow_tint", bc.Vector2f.from_components(0.02, (-0.01)))
        .add("highlight_tint", bc.Vector2f.from_components(0.01, 0.02)),
    )
    .l_curve(bc.Curve.s_curve(0.65, 1.3, 1.0, 1.0))
)
glowed = toned.bloom(0.85, 20.0, 0.2)
bounds = input_image.bounds()
filtered = glowed.vignette(
    bc.Vector2f.from_components((bounds.width() / 2.0), (bounds.height() / 2.0)),
    (bounds.width() / 2.0),
    (bounds.height() / 2.0),
    300.0,
    0.15,
).crop(bounds)
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