# Let's load the user's artworks and compose a bold, geopolitical-feeling collage from PIL import Image, ImageFilter, ImageOps import numpy as np import os, math # Helper functions def open_img(path): img = Image.open(path).convert("RGBA") return img def fit_to(img, size): return ImageOps.fit(img, size, method=Image.LANCZOS) def resize_max(img, max_w=None, max_h=None): w, h = img.size if max_w is None and max_h is None: return img if max_w is None: scale = max_h / h elif max_h is None: scale = max_w / w else: scale = min(max_w / w, max_h / h) return img.resize((int(w*scale), int(h*scale)), Image.LANCZOS) def feather_mask(shape, radius, orientation="horizontal", invert=False): """Create a linear feather mask from 0->255 across one axis.""" w, h = shape if orientation == "horizontal": x = np.linspace(0, 1, w) arr = np.tile(x, (h,1)) elif orientation == "vertical": y = np.linspace(0, 1, h)[:, None] arr = np.tile(y, (1,w)) elif orientation == "radial": # radial gradient centered in middle y, x = np.ogrid[:h, :w] cx, cy = w/2, h/2 dist = np.sqrt((x-cx)**2 + (y-cy)**2) maxd = np.sqrt((w/2)**2 + (h/2)**2) arr = dist / maxd else: raise ValueError("orientation must be 'horizontal', 'vertical', or 'radial'") # Soft ramp using smoothstep-like curve arr = np.clip(arr, 0, 1) arr = arr**radius if invert: arr = 1 - arr return Image.fromarray((arr*255).astype(np.uint8), mode="L") def paste_feather(base, top, position=(0,0), mask=None, alpha=1.0): x, y = position top_rgba = top.copy() if alpha < 1.0: a = top_rgba.split()[-1] a = a.point(lambda p: int(p * alpha)) top_rgba.putalpha(a) if mask is not None: # If mask size different, fit it if mask.size != top_rgba.size: mask = mask.resize(top_rgba.size, Image.LANCZOS) # Multiply existing alpha by mask a = np.array(top_rgba.split()[-1]) m = np.array(mask) new_a = (a.astype(np.float32) * (m.astype(np.float32)/255.0)).astype(np.uint8) top_rgba.putalpha(Image.fromarray(new_a, mode="L")) base.alpha_composite(top_rgba, dest=position) # Canvas W, H = 3840, 2160 # 16:9 UHD-ish canvas = Image.new("RGBA", (W, H), (0,0,0,255)) # Paths given by the user/developer paths = [ "/mnt/data/IMG20190906150202a+300-24bb (2).jpg", # abstract geometric / splatter "/mnt/data/IMG20190909120144+300a.jpg", # energetic abstract "/mnt/data/Cosmos - 1 (1).jpg", # star field "/mnt/data/27aa.jpg", # painterly diagonal with reds "/mnt/data/1j - (11).jpg", # yellow/black enso + red line "/mnt/data/IMG_0392a+.jpg", # close colorful abstract "/mnt/data/20171028_154301aa+afb.jpg", # terracotta + 永恒 "/mnt/data/IMG20190616200125-24x24b.jpg", # surveillance cameras "/mnt/data/IMG20190118145109+- 24 x 24-a.jpg", # ladder in fog "/mnt/data/IMG20191012205143a+12+.jpg" # city nightscape ] images = [open_img(p) for p in paths] # Layer 1: Cosmos background cosmos = fit_to(images[2], (W, H)) canvas = cosmos.copy().convert("RGBA") # Layer 2: Big circular energy from Enso piece enso = images[4] # Crop central circle-ish area enso_crop = enso.crop((int(enso.width*0.25), int(enso.height*0.05), int(enso.width*0.95), int(enso.height*0.95))) enso_resized = resize_max(enso_crop, max_h=int(H*0.95)) mask_radial = feather_mask(enso_resized.size, radius=2.0, orientation="radial", invert=True) paste_feather(canvas, enso_resized, position=(int(W*0.06), int(H*0.02)), mask=mask_radial, alpha=0.92) # Layer 3: Terracotta warrior on right (history/civilization) terracotta = images[6] terracotta = resize_max(terracotta, max_h=int(H*0.95)) mask_h = feather_mask(terracotta.size, radius=1.8, orientation="horizontal", invert=True) paste_feather(canvas, terracotta, position=(int(W*0.54), int(H*0.05)), mask=mask_h, alpha=0.92) # Layer 4: City nightscape at bottom (global urban fabric) city = images[9] city = resize_max(city, max_w=W) # Feather top edge so it blends upward mask_v = feather_mask(city.size, radius=2.0, orientation="vertical", invert=False) paste_feather(canvas, city, position=(int((W-city.width)/2), int(H - city.height*0.85)), mask=mask_v, alpha=0.95) # Layer 5: Surveillance cameras (security/state power) cams = images[7] cams = resize_max(cams, max_w=int(W*0.42)) mask_v_inv = feather_mask(cams.size, radius=1.8, orientation="vertical", invert=True) paste_feather(canvas, cams, position=(int(W*0.06), int(H*0.06)), mask=mask_v_inv, alpha=0.95) # Layer 6: Ladder in mist (aspiration/uncertainty) ladder = images[8] ladder = resize_max(ladder, max_h=int(H*0.7)) mask_diag = feather_mask(ladder.size, radius=2.2, orientation="horizontal", invert=False) paste_feather(canvas, ladder, position=(int(W*0.02), int(H*0.45)), mask=mask_diag, alpha=0.85) # Layer 7: Energetic abstract splashes for motion splash = images[1] splash = resize_max(splash.rotate(-8, expand=True), max_w=int(W*0.9)) mask_radial2 = feather_mask(splash.size, radius=2.5, orientation="radial", invert=True) paste_feather(canvas, splash, position=(int(W*0.08), int(H*0.05)), mask=mask_radial2, alpha=0.78) # Layer 8: Painterly diagonal with reds as vector accents diag = images[3].rotate(8, expand=True) diag = resize_max(diag, max_w=int(W*0.9)) mask_hard = feather_mask(diag.size, radius=3.0, orientation="horizontal", invert=False) paste_feather(canvas, diag, position=(int(W*0.03), int(H*0.12)), mask=mask_hard, alpha=0.65) # Layer 9: Geometric/splatter panel to add structure on the far left geo = images[0].rotate(-2, expand=True) geo = resize_max(geo, max_h=int(H*0.92)) mask_v2 = feather_mask(geo.size, radius=2.2, orientation="vertical", invert=True) paste_feather(canvas, geo, position=(int(-W*0.02), int(H*0.04)), mask=mask_v2, alpha=0.75) # Layer 10: Close colorful abstract (micro-energies / data) micro = images[5].rotate(12, expand=True) micro = resize_max(micro, max_w=int(W*0.5)) mask_r3 = feather_mask(micro.size, radius=2.2, orientation="radial", invert=True) paste_feather(canvas, micro, position=(int(W*0.46), int(H*0.56)), mask=mask_r3, alpha=0.8) # Subtle global red line motif (borrowed from Enso piece's red line area) enso_small = resize_max(enso, max_h=200) enso_band = enso_small.crop((0, int(enso_small.height*0.44), enso_small.width, int(enso_small.height*0.56))) enso_band = fit_to(enso_band, (W, enso_band.height)) band_mask = feather_mask(enso_band.size, radius=6.0, orientation="vertical", invert=True) paste_feather(canvas, enso_band, position=(0, int(H*0.62)), mask=band_mask, alpha=0.9) # Final touch: mild contrast/clarity final = canvas.convert("RGB") final = ImageOps.autocontrast(final, cutoff=1) final = final.filter(ImageFilter.UnsharpMask(radius=2, percent=140, threshold=3)) out_path = "/mnt/data/Cerj_Lalonde_Geopolitical_Collage_v1_3840x2160.jpg" final.save(out_path, quality=95) out_path