$ whoami
Simon Amor
Designer and co-founder of Morse.
Previously at Spotify and Monzo.
I’ve built products for Google, Android, YouTube and NatWest.
cd ../portfolio ↗$ ▋ - Blobs: 9
- Transitions: 0
=== STEP [56/157] ===
Expanding blobs: 9
State: {0, 1, 2, 3, 4, 5}
=== WARMING ===
Prompt: rainy city at night
✓ complete
[[=== VISIONS ===]]
Processing batch: 136
Target area: 2310.1464030332863
Max steps: 100
Source size: (1776, 1248)
Loaded data:
- Tokens: 13
- Transitions: 1
=== STEP [82/100] ===
Expanding tokens: 9
State: {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}
=== STYLIZING ===
Prompt: a quiet street at dusk
✓ complete
[[=== DIFFUSION ===]]
Processing artwork: 987
Target area: 484.3967925990000
$ ls work/morse
Morse / Sling
Cards, investments, savings, bill splits, bill pay and growth at Morse. International payments at Sling.
$ ▋$ ls work/spotify
Spotify
Music discovery using short form video, Group Sessions, Enhance, global privacy controls, local files and offline listening.
$ ▋ 29 896 1053 1302 601 576 845 1931 1317 178 1345 1714 210
30 225 802 250 1146 1278 723 1524 991 1043 9 338 1567
31 1115 1734 355 233 1337 533 1784 1092 1789 624 670 826
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33 1707 1255 1534 1406 790 587 675 904 1683 1597 1823 817
34 303 631 835 1661 1213 269 320 1683 233 979 1558 322
35 679 1378 54 288 1226 1132 711 270 1397 476 637 269
36 673 353 1562 1554 1238 1189 1896 1244 333 286 403 1514
37 254 1841 1498 1431 1959 1589 178 1406 307 76 569 280
38 923 551 105 1027 687 1487 1325 1092 1843 1724 1304 1340
39 1742 239 696 1647 203 542 418 1099 502 1693 1947 830
40 1984 1950 1243 1475 303 1034 307 1253 1285 1028 349 677
41 414 1893 595 1882 1949 1616 707 584 1659 974 840 662
42 1188 937 1312 1364 44 679 1910 1140 1209 227 812 100
43 381 1730 1137 1093 837 1353 1127 1418 1917 1797 1939 1151
44 1142 1444 1080 109 1951 125 1448 1423 1063 1514 18 1754
45 1467 152 134 120 1033 1086 1440 1354 754 142 1428 184
46 604 817 618 1946 1033 1803 1353 1908 73 1126 227 1235
47 82 918 139 1565 104 814 1966 219 1860 1966 1861 31
48 1358 1693 183 1809 133 748 50 1411 113 1212 1505 1458
49 100 1014 1329 1663 1892 1076 456 1787 14 1083 1033 1223
50 1086 1877 1088 1204 811 474 835 1632 583 1715 600 537
51 1733 529 370 159 1387 828 970 1653 1956 1033 862 425
52 248 211 574 85 210 848 748 1031 1285 244 1816 1657
53 407 531 1301 183 1609 1318 746 1111 1266 961 259 312
54 954 457 694 727 1939 1965 1447 704 1294 1947 1888 952
55 1633 942 403 125 475 1957 1081 1026 1236 1489 3 1443
56 1837 1166 1178 1603 945 23 86 255 1837 1389 859 1377
57 1887 412 1078 1510 1679 200 203 1712 1746 593 1619 139
58 933 1556 315 1258 387 1201 186 1673 1167 427 953 585
59 1483 195 719 873 1563 1416 146 802 138 1478 248 354
60 553 1386 1826 185 512 1529 513 1208 1434 83 1450 799
61 1447 22 1592 1632 1998 767 1626 1129 93 454 1529 1551
62 157 829 1737 697 1529 767 1952 1243 1567 420 1564 693
63 393 1980 1704 1966 1253 1079 918 598 504 805 467 580
64 1232 351 1256 808 487 278 383 173 145 417 1314 1261
65 1399 383 1684 689 872 720 725 61 353 674 313 1549
66 165 584 1649 102 146 904 1554 276 269 1845 399 1694
67 879 1648 1651 1125 551 1474 1058 1191 1585 928 1438 1701
68 1117 200 1113 1609 1855 838 1959 1590 446 1140 1077 1257
69 1461 171 98 981 1010 416 110 360 1981 1040 203 1290
70 900 1789 1651 1683 425 1506 1708 1789 1453 1278 1037 1159
71 861 203 759 226 871 1787 1131 511 36 961 1843 1454
72 1854 1729 1947 1876 1006 1434 1407 55 1220 1654 275 436
73 758 1721 1488 963 1530 868 1302 1035 1834 996 1334 91
74 716 67 244 811 1960 127 1033 956 1703 1951 1967 1817
75 1668 308 1133 1303 34 1859 611 1646 1920 1676 273 1731
76 1499 388 1216 58 1737 1945 803 318 1756 20 1348 1605
77 1821 1023 412 1245 1955 1747 726 253 179 1640 1750 1419
78 369 1696 840 11 1751 1976 57 1105 11 1752 584 1551
79 34 280 785 544 266 188 1875 840 706 1501 1224 581
80 513 284 1281 1758 1251 1909 126 1289 1749 955 1646 727
81 587 1722 1333 594 215 1378 1714 1336 686 1729 1398 903
82 1023 1612 1755 963 203 1916 1213 1725 1776 1227 1188 1403
83 99 94 1631 296 200 1928 208 1493 1267 519 1096 208
84 1762 180 1412 1735 157 520 1263 30 1300 1832 1420 921
85 401 1122 624 1936 645 743 504 761 435 1673 135 326
86 248 1406 210 506 1129 471 841 456 803 1576 985 1570
$ ls work/monzo
Monzo
Shared Tabs, Golden Tickets, Salary Sorter, Get paid early, Bills Pots and premium paid accounts.
$ ▋$ ls work/clients
Client projects
Google IO ticketing, Grow with Google, Android developer portal, NatWest cyber security education and AI particle tracking for researchers.
$ ▋$ ls fun/
Personal experiments
Interactive visuals, music, wine, face tracking and interface concepts. This terminal is one of them.
$ ▋$ help portfolio
Explore the work
Work / Fun. List / Card. Hover a list item to see an image, video or prototype. Locked previews stay blurred; missing previews show Coming soon.
$ ▋=== STEP [115/168] ===
Expanding tiles: 15
State: {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}
=== INPAINTING ===
Prompt: morning light through window
✓ complete
[[=== INFERENCE ===]]
Processing batch: 795
Target area: 2420.1608548173681
Max steps: 160
Source size: (1442, 1261)
Loaded data:
- Blobs: 13
- Transitions: 0
=== STEP [67/160] ===
Expanding blobs: 13
State: {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}
=== REFINING ===
Prompt: snow falling on rooftops
✓ complete
[[=== EMBEDDING ===]]
Processing patch: 437
Target area: 1017.6900459919125
out = process(args.in_path, step)
out.save(f"out_{step:04d}.png")
import torch
import numpy as np
from diffusers import StableDiffusion
pipe = StableDiffusion.from_pretrained(
"runwayml/sd-1.5",
torch_dtype=torch.float16,
).to("cuda")
def sample(prompt, steps=50):
g = torch.Generator(device="cuda")
g.manual_seed(42)
return pipe(prompt, num_inference_steps=steps, generator=g)
#!/usr/bin/env python3
import os
import argparse
import visions
from PIL import Image
import imageio.v3 as iio
# === Argument parsing (only)
parser = argparse.ArgumentParser()
parser.add_argument("--in", type=str)
parser.add_argument("--out", type=str)
parser.add_argument("--steps", default=108)
args = parser.parse_args()
def process(path, max_steps):
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56 109 69 814 953 1307 110 1198 1 hair
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59 1719 1045 621 1249 1982 1189 837 0 her arm
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66 175 642 250 1356 370 1373 1188 1 person
67 1912 1465 353 1159 1170 1026 1362 0 his face
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