BrushCue Example: Reef Current¶
You can use this tool online at https://www.brushcue.com/tools/reef-current
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.target_white_kelvin(6200.0)
.chroma_offset(
bc.Vector2f.from_components(((-0.02) * strength), ((-0.05) * strength))
)
.color_transformer_shader(
"let highlight_weight = smoothstep(0.25, 0.75, 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((-0.05), (-0.03)))
.add("highlight_tint", bc.Vector2f.from_components(0.06, 0.02)),
)
.saturation_adjust((1.0 + (0.25 * strength)))
)
glowed = toned.bloom(0.75, 18.0, 0.14)
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,
0.2,
).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]: