BrushCue Example: Ember Rock

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

!pip install brushcue

import io
from PIL import Image

import brushcue as bc

input_image = bc.Composition.monet_women_with_parasol()
strength = 1.0
toned = (
    input_image.color_transformer_shader(
        "let shadow_weight = 1.0 - smoothstep(0.05, 0.4, input.r);\n  let highlight_weight = smoothstep(0.45, 0.85, input.r);\n  let tint = (shadow_tint * shadow_weight + 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(0.04, 0.0))
        .add("highlight_tint", bc.Vector2f.from_components(0.1, 0.09)),
    )
    .l_curve(bc.Curve.s_curve(0.4, 1.6, 1.0, 1.0))
    .saturation_adjust((1.0 + (0.2 * strength)))
)
bounds = input_image.bounds()
embers = bc.Composition.freeform_shader(
    "let hash1 = fract(sin(canvas_position.x * 0.041 + seed) * 12543.231);\n  let hash2 = fract(sin(canvas_position.y * 0.037 + seed * 2.3) * 39217.891);\n  let n = hash1 * hash2;\n  let mask = smoothstep(0.992, 1.0, n);\n  return vec4<f32>(mask, mask * 0.4, mask * 0.05, mask);",
    "",
    bounds,
    bc.ColorRepresentation.srgb(),
    bc.Dictionary.create().add("seed", 7.0),
).opacity_scales((0.4 * strength))
glowed = toned.blend_add(embers, bc.Transform2.identity())
grained = glowed.film_grain(1.9, 150.0, 0.6, 51.0, 0.4, 300.0, 0.3)
filtered = grained.vignette(
    bc.Vector2f.from_components((bounds.width() / 2.0), (bounds.height() / 2.0)),
    (bounds.width() / 2.0),
    (bounds.height() / 2.0),
    300.0,
    0.35,
).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 ''