Sounds like a cool project! Do you have a particular fractal formula in mind—maybe something like a Mandelbrot or Julia set—and any color palette or neon effect specifications? If you send me the parameters, I can help you set up a quick script to generate the image and tweak the colors to get that jellyfish glow.

Here’s a quick outline you can drop into a Jupyter cell or a script. ```python import numpy as np import matplotlib.pyplot as plt from scipy.ndimage import gaussian_filter, sobel # grid res = 800 x = np.linspace(-1.5, 1.5, res) y = np.linspace(-1.5, 1.5, res) X, Y = np.meshgrid(x, y) Z = X + 1j*Y c = 0.285 + 0.01j max_iter = 200 diverge = np.full(Z.shape, False, dtype=bool) iterations = np.zeros(Z.shape, dtype=int) for i in range(max_iter): mask = ~diverge Z[mask] = Z[mask]**2 + c diverge[mask] = np.abs(Z[mask]) > 2 iterations[mask] = i # color palette: magenta, blue, pink, lime palette = np.array([ [1.0, 0.0, 1.0], # magenta [0.0, 0.0, 1.0], # blue [1.0, 0.0, 1.0], # pink (same as magenta, tweak if needed) [0.0, 1.0, 0.0] # lime ]) # map iterations to 0-3 norm_iter = (iterations / iterations.max() * 3).astype(int) rgb = palette[norm_iter] # edge glow edges = sobel(rgb.mean(axis=2)) glow = gaussian_filter(edges, sigma=5) rgb += np.expand_dims(glow, -1) # broadcast to RGB # final blur rgb = gaussian_filter(rgb, sigma=1) plt.figure(figsize=(8,8)) plt.imshow(np.clip(rgb,0,1)) plt.axis('off') plt.show() ``` Play around with `sigma` on the gaussian filter and the palette to fine‑tune the neon look. Let me know how it turns out!