add blobs

background.py

@@ -0,0 +1,48 @@
+import json
+import random
+
+from speckles import make_wallpaper
+
+palettes = [
+    {"colours": ["#DE4A21", "#6F04F2", "#490B1C", "#4a9c9e"], "votes": 1000000},
+    {"colours": ["#eee4ab", "#e5cb9f", "#99c4c8", "#68a7ad"], "votes": 100000},
+    {"colours": ["#e4d192", "#cba0ae", "#af7ab3", "#80558c"], "votes": 100000},
+    {"colours": ["#eeeeee", "#e1d4bb", "#cbb279", "#537188"], "votes": 100000},
+    {"colours": ["#c0dbea", "#ba90c6", "#e8a0bf", "#fdf4f5"], "votes": 100000},
+    {"colours": ["#f5ffc9", "#b3e5be", "#a86464", "#804674"], "votes": 100000},
+    {"colours": ["#ffde7d", "#f6416c", "#f8f3d4", "#00b8a9"], "votes": 100000},
+    {"colours": ["#53354a", "#903749", "#e84545", "#2b2e4a"], "votes": 100000},
+    {"colours": ["#967e76", "#d7c0ae", "#eee3cb", "#b7c4cf"], "votes": 100000},
+    {"colours": ["#fc5185", "#f5f5f5", "#3fc1c9", "#364f6b"], "votes": 100000},
+    {"colours": ["#eaeaea", "#ff2e63", "#252a34", "#08d9d6"], "votes": 100000},
+    {"colours": ["#eeeeee", "#00adb5", "#393e46", "#222831"], "votes": 100000},
+    {"colours": ["#2cd3e1", "#a459d1", "#f266ab", "#ffb84c"], "votes": 100000},
+    {"colours": ["#ffe194", "#e8f6ef", "#1b9c85", "#4c4c6d"], "votes": 100000},
+    {"colours": ["#146c94", "#19a7ce", "#b0daff", "#feff86"], "votes": 100000},
+    {"colours": ["#4c3d3d", "#c07f00", "#ffd95a", "#fff7d4"], "votes": 100000},
+    {"colours": ["#8bacaa", "#b04759", "#e76161", "#f99b7d"], "votes": 100000},
+    {"colours": ["#146c94", "#19a7ce", "#afd3e2", "#f6f1f1"], "votes": 100000},
+    {"colours": ["#9ba4b5", "#212a3e", "#394867", "#f1f6f9"], "votes": 100000},
+    {"colours": ["#00ffca", "#05bfdb", "#088395", "#0a4d68"], "votes": 100000},
+    {"colours": ["#7c9070", "#9ca777", "#fee8b0", "#f97b22"], "votes": 100000},
+    {"colours": ["#002a19", "#000000", "#ffffff", "#e0512f"], "votes": 100000},
+    {"colours": ["#212248", "#EBAE36", "#C7C9F0", "#11088A"], "votes": 100000},
+]
+with open("popular.json", "r") as f:
+    palettes += json.load(f)
+
+palette = random.choice(palettes)
+enabled_markers = "otY+xP*b"
+markers = random.choices(enabled_markers, k=random.randint(1, len(enabled_markers)))
+for i, palette in enumerate(palettes):
+    colours = ["none"] + palette["colours"]
+    b = make_wallpaper(
+        ",".join(colours),
+        fileformat="png",
+        size=2.1,
+        density=0.2,
+        filename=f"wallpapers/speckles{i}_2880x1800.png",
+        perlin=True,
+        markers=enabled_markers,
+        orientation="2880x1800",
+    )

blob.py

@@ -0,0 +1,57 @@
+import svg
+from typing import Iterator, NamedTuple
+
+import numpy as np
+
+RGen = np.random.default_rng()
+
+
+class Point(NamedTuple):
+    x: float
+    y: float
+
+
+def iter_body_points(size: int) -> Iterator[Point]:
+    n_points = RGen.integers(3, 12)  # how many points do we want?
+    angle_step = (
+        np.pi * 2 / n_points
+    )  # step used to place each point at equal distances
+    for point_number in range(1, n_points + 1):
+        pull = 0.75 * RGen.random() * 0.25
+        angle = point_number * angle_step
+        x = size + np.cos(angle) * size * pull
+        y = size + np.sin(angle) * size * pull
+        yield Point(x, y)
+
+
+def spline(points: list[Point], body_tension: int) -> Iterator[svg.PathData]:
+    """
+    https://github.com/georgedoescode/splinejs
+    """
+    yield svg.MoveTo(*points[-1])
+    first_point = points[0]
+    second_point = points[1]
+    points.insert(0, points[-1])
+    points.insert(0, points[-2])
+    points.append(first_point)
+    points.append(second_point)
+    for p0, p1, p2, p3 in zip(points, points[1:], points[2:], points[3:]):
+        yield svg.CubicBezier(
+            x1=p1.x + (p2.x - p0.x) / 6 * body_tension,
+            y1=p1.y + (p2.y - p0.y) / 6 * body_tension,
+            x2=p2.x - (p3.x - p1.x) / 6 * body_tension,
+            y2=p2.y - (p3.y - p1.y) / 6 * body_tension,
+            x=p2.x,
+            y=p2.y,
+        )
+
+
+def blob(x, y, c, s, body_tension: int = 1) -> svg.Path:
+    points = list(iter_body_points(s))
+    return svg.Path(
+        d=list(spline(points, body_tension)),
+        fill=c,
+        stroke="#000000",
+        stroke_width=2,
+        transform=[svg.Translate(x-s, y-s)],
+    )

main.py

@@ -1,17 +1,14 @@
 import io
-import logging
+from perlin import CoordsGenerator
+from typing import Literal
 import itertools
-import json
+import logging
 import random
-from collections import Counter
-from copy import deepcopy
-from datetime import datetime
-from pathlib import Path
 
 import matplotlib.pyplot as plt
 import numpy as np
 import uvicorn
-from fastapi import FastAPI, Response
+from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import StreamingResponse
 
@@ -41,15 +38,65 @@ MEDIA_TYPES = {
 }
 
 
+Marker = Literal[
+    ".",
+    ",",
+    "o",
+    "v",
+    "^",
+    "<",
+    ">",
+    "1",
+    "2",
+    "3",
+    "4",
+    "8",
+    "s",
+    "p",
+    "P",
+    "*",
+    "h",
+    "H",
+    "+",
+    "x",
+    "X",
+    "D",
+    "d",
+    "|",
+    "_",
+]
+
+marker_subs = {
+    "=": "$=$",
+    "/": "$/$",
+    "\\": "$\\setminus$",
+    "«": "$«$",
+    "»": "$»$",
+    "~": "$\\sim$",
+    "♪": "$♪$",
+    "♫": "$♫$",
+    "∞": "$\\infty$",
+    "♡": "$♡$",
+    "o": "$\\bigcirc$",
+    "♠": "$♠$",
+    "♣": "$♣$",
+    "♥": "$♥$",
+    "♦": "$♦$",
+}
+
+
 @app.get("/speckles/")
 def make_wallpaper(
     speckle_colours: str,
-    density: float | None = 0.12,
+    density: float = 0.12,
-    size: float | None = 3,
+    size: float = 3,
     fileformat: str = "svg",
-    orientation: str | None = "landscape",
+    orientation: str = "landscape",
+    filename: str = "",
+    markers: str = ".",
+    perlin: bool = True,
 ):
-    if not fileformat in MEDIA_TYPES:
+    if fileformat not in MEDIA_TYPES:
         return
     speckle_colours = speckle_colours.split(",")
     background = speckle_colours.pop(0)
@@ -59,17 +106,17 @@ def make_wallpaper(
         x, y = (1920, 1080)
     elif "x" in orientation:
         resolution = orientation.split("x")
-        if len(resolution) !=2 :
+        if len(resolution) != 2:
             logging.critical("input resolution has more or less than 2 dimensions")
             return
-        x,y = resolution
+        x, y = resolution
         if all([x.isdigit(), y.isdigit()]):
-            x,y = int(x), int(y)
+            x, y = int(x), int(y)
         else:
             return
     else:
         x, y = (1920, 1080)
-    speckles_per_colour = int(x / 128 * y / 128 * density)
+    speckles_per_colour = int(x / 128 * y / 128 * density / len(markers))
 
     fig, ax = plt.subplots(figsize=(x / 120, y / 120), facecolor=background)
     ax.set_facecolor(background)
@@ -78,15 +125,28 @@ def make_wallpaper(
     ax.set_yticks([])
     ax.margins(0, 0)
 
-    for color, size in itertools.product(
+    if perlin:
+        gen = CoordsGenerator(y, x)
+
+    for color, marker, size in itertools.product(
         speckle_colours,
+        markers,
         np.logspace(0, size, 10, base=np.exp(2)),
     ):
+        marker = marker_subs.get(marker, marker)
+        if perlin:
+            x_coords, y_coords = gen.pick(speckles_per_colour)
+        else:
+            x_coords, y_coords = (
+                [random.random() * x / 8 for _ in range(speckles_per_colour)],
+                [random.random() * y / 8 for _ in range(speckles_per_colour)],
+            )
         ax.scatter(
-            [random.random() * x / 8 for _ in range(speckles_per_colour)],
+            x_coords,
-            [random.random() * y / 8 for _ in range(speckles_per_colour)],
+            y_coords,
             c=color,
             s=size,
+            marker=marker,
         )
 
     fig.tight_layout()
@@ -103,9 +163,14 @@ def make_wallpaper(
         pad_inches=0,
     )
     buf.seek(0)
-    return StreamingResponse(content=buf, media_type=MEDIA_TYPES[fileformat])
+    if filename:
-    buf.close()
+        with open(filename, "wb") as f:
+            f.write(buf.getbuffer())
+        buf.close()
+        return filename
+    else:
+        return StreamingResponse(content=buf, media_type=MEDIA_TYPES[fileformat])
 
 
 if __name__ == "__main__":
-    uvicorn.run("main:app", workers=2, port=8099, reload=False)
+    uvicorn.run("main:app", workers=3, port=8099, reload=True)

perlin.py

@@ -0,0 +1,85 @@
+import numpy as np
+from scipy.special import softmax
+
+
+def interpolant(t):
+    return t * t * t * (t * (t * 6 - 15) + 10)
+
+
+def generate_perlin_noise_2d(
+    shape, res, tileable=(False, False), interpolant=interpolant
+):
+    """Generate a 2D numpy array of perlin noise.
+
+    Args:
+        shape: The shape of the generated array (tuple of two ints).
+            This must be a multple of res.
+        res: The number of periods of noise to generate along each
+            axis (tuple of two ints). Note shape must be a multiple of
+            res.
+        tileable: If the noise should be tileable along each axis
+            (tuple of two bools). Defaults to (False, False).
+        interpolant: The interpolation function, defaults to
+            t*t*t*(t*(t*6 - 15) + 10).
+
+    Returns:
+        A numpy array of shape shape with the generated noise.
+
+    Raises:
+        ValueError: If shape is not a multiple of res.
+    """
+    delta = (res[0] / shape[0], res[1] / shape[1])
+    d = (shape[0] // res[0], shape[1] // res[1])
+    grid = np.mgrid[0 : res[0] : delta[0], 0 : res[1] : delta[1]].transpose(1, 2, 0) % 1
+    # Gradients
+    angles = 2 * np.pi * np.random.rand(res[0] + 1, res[1] + 1)
+    gradients = np.dstack((np.cos(angles), np.sin(angles)))
+    if tileable[0]:
+        gradients[-1, :] = gradients[0, :]
+    if tileable[1]:
+        gradients[:, -1] = gradients[:, 0]
+    gradients = gradients.repeat(d[0], 0).repeat(d[1], 1)
+    g00 = gradients[: -d[0], : -d[1]]
+    g10 = gradients[d[0] :, : -d[1]]
+    g01 = gradients[: -d[0], d[1] :]
+    g11 = gradients[d[0] :, d[1] :]
+    # Ramps
+    n00 = np.sum(np.dstack((grid[:, :, 0], grid[:, :, 1])) * g00, 2)
+    n10 = np.sum(np.dstack((grid[:, :, 0] - 1, grid[:, :, 1])) * g10, 2)
+    n01 = np.sum(np.dstack((grid[:, :, 0], grid[:, :, 1] - 1)) * g01, 2)
+    n11 = np.sum(np.dstack((grid[:, :, 0] - 1, grid[:, :, 1] - 1)) * g11, 2)
+    # Interpolation
+    t = interpolant(grid)
+    n0 = n00 * (1 - t[:, :, 0]) + t[:, :, 0] * n10
+    n1 = n01 * (1 - t[:, :, 0]) + t[:, :, 0] * n11
+    return np.sqrt(2) * ((1 - t[:, :, 1]) * n0 + t[:, :, 1] * n1)
+
+
+class CoordsGenerator:
+    def __init__(self, x: int, y: int, factor: int = 500):
+        print(x, y, x // factor, y // factor)
+        self.noise = generate_perlin_noise_2d((x, y), (x // factor, y // factor))
+        self.noise_distribution = softmax(self.noise, axis=1)
+
+    def pick(self, n):
+        x, y = self.noise.shape
+        x = np.random.choice(x, size=n, replace=False)
+        y = [
+            np.random.choice(y, size=1, p=self.noise_distribution[x_, :], replace=False)
+            for x_ in x
+        ]
+        return x, np.array(y).flatten()
+
+
+if __name__ == "__main__":
+    import matplotlib.pyplot as plt
+
+    # gen = CoordsGenerator(1920, 1080, threshold=0.85)
+    # x, y = gen.pick(1000)
+    # plt.scatter(x, y)
+    factor = 500
+    noise = generate_perlin_noise_2d((1080, 1920), (1080 // factor, 1920 // factor))
+
+    plt.matshow(noise, cmap="bwr")
+    plt.colorbar()
+    plt.show()

popular.json

@@ -0,0 +1 @@
+[{"colours": ["#264653", "#2a9d8f", "#e9c46a", "#f4a261", "#e76f51"], "votes": 99400}, {"colours": ["#ffcdb2", "#ffb4a2", "#e5989b", "#b5838d", "#6d6875"], "votes": 64500}, {"colours": ["#e63946", "#f1faee", "#a8dadc", "#457b9d", "#1d3557"], "votes": 64099}, {"colours": ["#cb997e", "#ddbea9", "#ffe8d6", "#b7b7a4", "#a5a58d", "#6b705c"], "votes": 63700}, {"colours": ["#606c38", "#283618", "#fefae0", "#dda15e", "#bc6c25"], "votes": 56400}, {"colours": ["#ccd5ae", "#e9edc9", "#fefae0", "#faedcd", "#d4a373"], "votes": 54200}, {"colours": ["#fec5bb", "#fcd5ce", "#fae1dd", "#f8edeb", "#e8e8e4", "#d8e2dc", "#ece4db", "#ffe5d9", "#ffd7ba", "#fec89a"], "votes": 51800}, {"colours": ["#cdb4db", "#ffc8dd", "#ffafcc", "#bde0fe", "#a2d2ff"], "votes": 50700}, {"colours": ["#ffadad", "#ffd6a5", "#fdffb6", "#caffbf", "#9bf6ff", "#a0c4ff", "#bdb2ff", "#ffc6ff", "#fffffc"], "votes": 42800}, {"colours": ["#006d77", "#83c5be", "#edf6f9", "#ffddd2", "#e29578"], "votes": 40900}, {"colours": ["#000000", "#14213d", "#fca311", "#e5e5e5", "#ffffff"], "votes": 40500}, {"colours": ["#8ecae6", "#219ebc", "#023047", "#ffb703", "#fb8500"], "votes": 39700}, {"colours": ["#f4f1de", "#e07a5f", "#3d405b", "#81b29a", "#f2cc8f"], "votes": 39300}, {"colours": ["#03045e", "#023e8a", "#0077b6", "#0096c7", "#00b4d8", "#48cae4", "#90e0ef", "#ade8f4", "#caf0f8"], "votes": 38300}, {"colours": ["#003049", "#d62828", "#f77f00", "#fcbf49", "#eae2b7"], "votes": 36300}, {"colours": ["#eeeeee", "#00adb5", "#393e46", "#222831"], "votes": 53077}, {"colours": ["#71c9ce", "#a6e3e9", "#cbf1f5", "#e3fdfd"], "votes": 30343}, {"colours": ["#6a2c70", "#b83b5e", "#f08a5d", "#f9ed69"], "votes": 27275}, {"colours": ["#8785a2", "#f6f6f6", "#ffe2e2", "#ffc7c7"], "votes": 27218}, {"colours": ["#95e1d3", "#eaffd0", "#fce38a", "#f38181"], "votes": 26925}, {"colours": ["#eaeaea", "#ff2e63", "#252a34", "#08d9d6"], "votes": 26832}, {"colours": ["#112d4e", "#3f72af", "#dbe2ef", "#f9f7f7"], "votes": 26219}, {"colours": ["#ffffd2", "#fcbad3", "#aa96da", "#a8d8ea"], "votes": 24588}, {"colours": ["#424874", "#a6b1e1", "#dcd6f7", "#f4eeff"], "votes": 23767}, {"colours": ["#61c0bf", "#bbded6", "#fae3d9", "#ffb6b9"], "votes": 23214}, {"colours": ["#fc5185", "#f5f5f5", "#3fc1c9", "#364f6b"], "votes": 22036}, {"colours": ["#bbe1fa", "#3282b8", "#0f4c75", "#1b262c"], "votes": 21806}, {"colours": ["#fffbe9", "#e3caa5", "#ceab93", "#ad8b73"], "votes": 21786}, {"colours": ["#ff9494", "#ffd1d1", "#ffe3e1", "#fff5e4"], "votes": 21497}, {"colours": ["#cca8e9", "#c3bef0", "#cadefc", "#defcf9"], "votes": 21348}]

speckles.py

@@ -1,116 +1,311 @@
 import itertools
-import json
+from blob import blob
-import random
+import io
-from collections import Counter
+from fastapi.responses import StreamingResponse
-from datetime import datetime
 from pathlib import Path
+import pyvips
+import logging
+from perlin import CoordsGenerator
+import svg
 
-import matplotlib.pyplot as plt
 import numpy as np
+import uvicorn
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+
+app = FastAPI(title="Speckles API", root_path="/images")
+origins = [
+    "http://localhost",
+    "http://localhost:3000",
+    "https://localhost",
+    "https://0124816.xyz",
+    "http://0124816.xyz:3001",
+]
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=origins,
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+RGen = np.random.default_rng()
+
+MEDIA_TYPES = {
+    "png": "image/png",
+    "jpeg": "image/jpeg",
+    "jpg": "image/jpeg",
+    "svg": "image/svg+xml",
+    "pdf": "application/pdf",
+}
 
 
+def emoji(marker: str, source="twemoji"):
+    if len(marker) != 1:
+        return
+    if source == "openmoji":
+        scaler = 512
+        file = hex(ord(marker))[2:].upper()
+    elif source == "twemoji":
+        scaler = 768
+        file = hex(ord(marker))[2:]
+    file = Path(f"{source}/{file}.svg")
+    if file.is_file():
+        return svg.G(
+            elements=[Include(text=file.read_text())],
+            id=marker,
+            transform=[svg.Scale(100 / scaler)],
+        )
+
+
+class Include(svg.Element):
+    element_name = "svg"
+    transform: list[svg.Transform] | None = None
+
+    def __str__(self) -> str:
+        return self.text
+
+
+DEFINED = ".o+tYP-|sSex*b"
+
+
+def markertoSVG(marker, x, y, c, s):
+    if marker == ".":
+        return svg.Circle(cx=x, cy=y, fill=c, r=np.sqrt(s))
+    elif marker == "o":
+        return svg.Circle(
+            cx=x,
+            cy=y,
+            stroke=c,
+            fill="none",
+            stroke_width=np.sqrt(s / 4),
+            r=np.sqrt(s),
+        )
+    elif marker == "+":
+        shift = np.sqrt(s)
+        return svg.Path(
+            stroke=c,
+            stroke_width=np.sqrt(s) / 4,
+            stroke_linecap="round",
+            d=[
+                svg.M(x - shift, y),  # horizontal line
+                svg.L(x + shift, y),
+                svg.M(x, y - shift),  # vertical line
+                svg.L(x, y + shift),
+            ],
+        )
+    elif marker == "t":
+        shift = np.sqrt(s)
+        return svg.Polygon(
+            stroke=c,
+            stroke_width=np.sqrt(s) / 4,
+            stroke_linejoin="round",
+            points=[
+                x + shift * np.sqrt(3) / 2,
+                y - shift / 2,
+                x - shift * np.sqrt(3) / 2,
+                y - shift / 2,
+                x,
+                y + shift,
+            ],
+            transform=[svg.Rotate(RGen.random() * 360, x, y)],
+        )
+    elif marker == "Y":
+        shift = np.sqrt(s)
+        return svg.Path(
+            stroke=c,
+            stroke_width=np.sqrt(s) / 4,
+            stroke_linecap="round",
+            d=[
+                svg.M(x + shift * np.sqrt(3) / 2, y - shift / 2),  # / line
+                svg.L(x, y),
+                svg.M(x - shift * np.sqrt(3) / 2, y - shift / 2),  # / line
+                svg.L(x, y),
+                svg.M(x, y + shift),  # / line
+                svg.L(x, y),
+            ],
+            transform=[svg.Rotate(RGen.random() * 360, x, y)],
+        )
+    elif marker == "P":
+        shift = np.sqrt(s)
+        return svg.Path(
+            stroke=c,
+            stroke_width=np.sqrt(s) * 2 / 3,
+            d=[
+                svg.M(x - shift, y),  # horizontal line
+                svg.L(x + shift, y),
+                svg.M(x, y - shift),  # vertical line
+                svg.L(x, y + shift),
+            ],
+        )
+    elif marker == "-":
+        shift = np.sqrt(s)
+        return svg.Path(
+            stroke=c,
+            stroke_width=np.sqrt(s) / 4,
+            d=[
+                svg.M(x - shift, y),  # horizontal line
+                svg.L(x + shift, y),
+            ],
+        )
+    elif marker == "|":
+        shift = np.sqrt(s)
+        return svg.Path(
+            stroke=c,
+            stroke_width=np.sqrt(s) / 4,
+            d=[
+                svg.M(x, y - shift),  # vertical line
+                svg.L(x, y + shift),
+            ],
+        )
+    elif marker == "s":
+        shift = np.sqrt(s) * 2
+        return svg.Rect(x=x, y=y, width=shift, height=shift, fill=c)
+    elif marker == "S":
+        s = np.sqrt(s) * 2
+        return svg.Rect(x=x, y=y, width=s, height=s, fill=c, rx=s / 3, ry=s / 3)
+    elif marker == "e":
+        s = np.sqrt(s * 2)
+        return svg.Ellipse(
+            cx=x,
+            cy=y,
+            fill=c,
+            rx=s,
+            ry=s / 2,
+            transform=[svg.Rotate(RGen.random() * 360, x, y)],
+        )
+    elif marker == "x":
+        shift = np.sqrt(s)
+        scale = np.sqrt(2) / 2
+        return svg.Path(
+            stroke=c,
+            stroke_width=np.sqrt(s) / 4,
+            stroke_linecap="round",
+            d=[
+                svg.M(x - shift * scale, y - shift * scale),  # / line
+                svg.L(x + shift * scale, y + shift * scale),
+                svg.M(x - shift * scale, y + shift * scale),
+                svg.L(x + shift * scale, y - shift * scale),  # / line
+            ],
+        )
+    elif marker == "*":
+        shift = np.sqrt(s)
+        return [
+            svg.Path(
+                stroke=c,
+                stroke_width=np.sqrt(s) / 4,
+                stroke_linecap="round",
+                transform=[svg.Rotate(angle, x, y)],
+                d=[
+                    svg.M(x - shift, y),
+                    svg.L(x + shift, y),
+                ],
+            )
+            for angle in (0, 60, -60)
+        ]
+    elif marker == "b":
+        return blob(x, y, c, np.sqrt(s)*10)
+    else:
+        return svg.Use(
+            href=f"#{marker}",
+            transform=[svg.Translate(x=x, y=y), svg.Scale(np.sqrt(s) / 100)],
+        )
+
+
+@app.get("/speckles/")
 def make_wallpaper(
-    background: str,
+    speckle_colours: str,
-    speckle_colours: list[str],
+    density: float = 0.12,
-    filename: str | Path,
+    size: float = 3,
-    density: int = 0.6,
+    fileformat: str = "svg",
-    dimensions: tuple[float | int, float | int] = (1920, 1080),
+    orientation: str = "landscape",
-) -> None:
+    filename: str = "",
-    x, y = dimensions
+    markers: str = ".",
-    speckles_per_colour = x / 100 * y / 100 * density
+    perlin: bool = True,
+):
+    speckle_colours = speckle_colours.split(",")
+    background = speckle_colours.pop(0)
+    if orientation == "portrait":
+        x, y = (1080, 1920)
+    elif orientation == "landscape":
+        x, y = (1920, 1080)
+    elif "x" in orientation:
+        resolution = orientation.split("x")
+        if len(resolution) != 2:
+            logging.critical("input resolution has more or less than 2 dimensions")
+            return
+        x, y = resolution
+        if all([x.isdigit(), y.isdigit()]):
+            x, y = int(x), int(y)
+        else:
+            return
+    else:
+        x, y = (1920, 1080)
+    speckles_per_colour = int(x / 128 * y / 128 * density / len(markers))
 
-    fig, ax = plt.subplots(figsize=(x / 100, y / 100), facecolor=background)
+    if perlin:
-    ax.set_facecolor(background)
+        gen = CoordsGenerator(x, y)
-    [spine.set_color(background) for spine in ax.spines.values()]
-    plt.xticks([])
-    plt.yticks([])
-    plt.margins(0, 0)
 
-    for color, size in itertools.product(
+    elements = [svg.Rect(width=x, height=y, fill=background)]
+    style = svg.Style(
+        text="\n".join(
+            [f".c{colour[1:]} {{ fill: {colour}; }}" for colour in speckle_colours]
+        )
+    )
+    elements.append(style)
+    style = svg.Style(
+        text="\n".join(
+            [
+                f'.s{hex(int(size*100))[2:]} {{ font-family: "OpenMoji"; font-size: {int(np.sqrt(size)*16)}px; }}'
+                for size in np.logspace(0, size, 10, base=np.exp(2))
+            ]
+        )
+    )
+    elements.append(style)
+
+    elements.append(
+        svg.Defs(
+            elements=[emoji(marker) for marker in markers if marker not in DEFINED]
+        )
+    )
+
+    for colour, marker, size in itertools.product(
         speckle_colours,
-        np.logspace(1, 6, 8, base=2),
+        markers,
+        np.logspace(0, size, 10, base=np.exp(2)),
     ):
-        plt.scatter(
+        if perlin:
-            [random.random() * x / 8 for _ in range(speckles_per_colour)],
+            xs, ys = gen.pick(speckles_per_colour)
-            [random.random() * y / 8 for _ in range(speckles_per_colour)],
+        else:
-            c=color,
+            xs, ys = zip(
-            s=size,
+                RGen.random(speckles_per_colour) * x,
+                RGen.random(speckles_per_colour) * y,
+            )
+        elements.extend(
+            [markertoSVG(marker, x, y, colour, size) for x, y in zip(xs, ys)]
         )
 
-    plt.tight_layout()
+    content = svg.SVG(width=x, height=y, elements=elements)
-    # plt.xlim(0, x)
+    if filename:
-    # plt.ylim(0, y)
+        if Path(filename).suffix == ".svg":
-    # plt.axis("off")
+            with open(filename, "wt") as f:
-    plt.savefig(
+                f.write(content.as_str())
-        filename,
+        else:
-        dpi=128,
+            with pyvips.Image.svgload_buffer(content.as_str().encode("utf-8")) as image:
-        bbox_inches="tight",
+                image.write_to_file(filename)
-        pad_inches=0,
+        return filename
-    )
+    elif fileformat:
-    # plt.show()
+        if fileformat == "svg":
-    plt.close()
+            buf = io.BytesIO(content.as_str().encode("utf-8"))
-
+            buf.seek(0)
-
+        elif fileformat in ["jpg", "png"]:
-# palette = random.choice(palettes)
+            with pyvips.Image.svgload_buffer(content.as_str().encode("utf-8")) as image:
-def speckles(palette):
+                data = image.write_to_buffer("." + fileformat)
-    for i, background in enumerate(palette):
+            buf = io.BytesIO(data)
-        speckle_colours = palette[:i] + palette[i + 1 :]
+            buf.seek(0)
-        _id = "_".join(speckle_colours).replace("#", "")
+        return StreamingResponse(content=buf, media_type=MEDIA_TYPES[fileformat])
-        speckle_colours += ["#000000", "#000000", "#ffffff"]
-        make_wallpaper(
-            background,
-            speckle_colours,
-            f"speckles/speckles_{_id}.png",
-        )
-
-
-def night_sky(palette):
-    speckle_colours = palette + ["#ffffff"]
-    _id = "_".join(palette).replace("#", "")
-    make_wallpaper(
-        "#000000",
-        speckle_colours,
-        f"speckles/night_sky_{_id}.png",
-    )
 
 
 if __name__ == "__main__":
-    palettes = [
+    uvicorn.run("speckles:app", workers=3, port=8099)
-        {"colours": ["#eee4ab", "#e5cb9f", "#99c4c8", "#68a7ad"], "votes": 100000},
-        {"colours": ["#e4d192", "#cba0ae", "#af7ab3", "#80558c"], "votes": 100000},
-        {"colours": ["#eeeeee", "#e1d4bb", "#cbb279", "#537188"], "votes": 100000},
-        {"colours": ["#c0dbea", "#ba90c6", "#e8a0bf", "#fdf4f5"], "votes": 100000},
-        {"colours": ["#f5ffc9", "#b3e5be", "#a86464", "#804674"], "votes": 100000},
-        {"colours": ["#ffde7d", "#f6416c", "#f8f3d4", "#00b8a9"], "votes": 100000},
-        {"colours": ["#53354a", "#903749", "#e84545", "#2b2e4a"], "votes": 100000},
-        {"colours": ["#967e76", "#d7c0ae", "#eee3cb", "#b7c4cf"], "votes": 100000},
-        {"colours": ["#fc5185", "#f5f5f5", "#3fc1c9", "#364f6b"], "votes": 100000},
-        {"colours": ["#eaeaea", "#ff2e63", "#252a34", "#08d9d6"], "votes": 100000},
-        {"colours": ["#eeeeee", "#00adb5", "#393e46", "#222831"], "votes": 100000},
-        {"colours": ["#2cd3e1", "#a459d1", "#f266ab", "#ffb84c"], "votes": 100000},
-        {"colours": ["#ffe194", "#e8f6ef", "#1b9c85", "#4c4c6d"], "votes": 100000},
-        {"colours": ["#146c94", "#19a7ce", "#b0daff", "#feff86"], "votes": 100000},
-        {"colours": ["#4c3d3d", "#c07f00", "#ffd95a", "#fff7d4"], "votes": 100000},
-        {"colours": ["#8bacaa", "#b04759", "#e76161", "#f99b7d"], "votes": 100000},
-        {"colours": ["#146c94", "#19a7ce", "#afd3e2", "#f6f1f1"], "votes": 100000},
-        {"colours": ["#9ba4b5", "#212a3e", "#394867", "#f1f6f9"], "votes": 100000},
-        {"colours": ["#00ffca", "#05bfdb", "#088395", "#0a4d68"], "votes": 100000},
-        {"colours": ["#7c9070", "#9ca777", "#fee8b0", "#f97b22"], "votes": 100000},
-        {"colours": ["#002a19", "#000000", "#ffffff", "#e0512f"], "votes": 100000},
-    ]
-
-    palette_files = ["colorhunt.json"]
-    for palette_file in palette_files:
-        with open(palette_file, "rt") as f:
-            palettes += json.load(f)
-
-    print(len(palettes))
-    palettes = [
-        palette["colours"]
-        for palette in palettes
-        if palette["votes"] > 30000 or len(palette["colours"]) > 5
-    ]
-    print(len(palettes))
-    for palette in palettes:
-        night_sky(palette)
-        speckles(palette)