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Update ujworkflow.json

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  1. ujworkflow.json +1686 -695
ujworkflow.json CHANGED
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  },
1322
- "link": 60
1323
  }
1324
  ],
1325
  "outputs": [
1326
  {
1327
- "localized_name": "STRING",
1328
- "name": "STRING",
1329
- "type": "STRING",
1330
  "links": [
1331
- 38
1332
  ]
1333
  }
1334
  ],
1335
- "title": "Concatenate Text (LoRA Trigger Word)",
1336
  "properties": {
 
1337
  "cnr_id": "comfy-core",
1338
- "ver": "0.25.0",
1339
- "Node name for S&R": "StringConcatenate"
1340
  },
1341
  "widgets_values": [
1342
- "",
1343
- "muted minimalist sketch style",
1344
- ", "
1345
  ]
1346
  },
1347
  {
1348
- "id": 28,
1349
- "type": "ComfySwitchNode",
1350
  "pos": [
1351
- 1050,
1352
- 670
1353
  ],
1354
  "size": [
1355
- 340,
1356
- 130
1357
  ],
1358
  "flags": {},
1359
- "order": 17,
1360
  "mode": 0,
1361
  "inputs": [
1362
  {
1363
- "localized_name": "on_false",
1364
- "name": "on_false",
1365
- "type": "STRING",
1366
- "link": 37
1367
  },
1368
  {
1369
- "localized_name": "on_true",
1370
- "name": "on_true",
1371
- "type": "STRING",
1372
- "link": 38
 
1373
  },
1374
  {
1375
- "localized_name": "switch",
1376
- "name": "switch",
1377
- "type": "BOOLEAN",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1378
  "widget": {
1379
- "name": "switch"
1380
  },
1381
- "link": 42
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1382
  }
1383
  ],
1384
  "outputs": [
1385
  {
1386
- "localized_name": "output",
1387
- "name": "output",
1388
  "type": "STRING",
1389
  "links": [
1390
- 72
1391
  ]
1392
  }
1393
  ],
1394
  "properties": {
 
1395
  "cnr_id": "comfy-core",
1396
- "ver": "0.25.0",
1397
- "Node name for S&R": "ComfySwitchNode"
1398
  },
1399
  "widgets_values": [
1400
- false
 
 
 
 
 
 
 
 
 
 
 
1401
  ]
1402
  },
1403
  {
@@ -1427,274 +1336,255 @@
1427
  ],
1428
  "title": "Text String (System Prompt)",
1429
  "properties": {
 
1430
  "cnr_id": "comfy-core",
1431
- "ver": "0.25.0",
1432
- "Node name for S&R": "PrimitiveStringMultiline"
1433
  },
1434
  "widgets_values": [
1435
- "You are an expert prompt engineer for text-to-image models. Your task is to expand the user's prompt into a highly effective image-generation prompt.\n\nThink step by step about the request before writing the answer:\n- What is the subject and mood?\n- What visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\n- What composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\n\nFollow these rules strictly:\n1. **Faithfulness First:** Preserve all original subjects, actions, colors, and spatial relationships. Do not add new objects, props, characters, or animals unless the user clearly implies them.\n2. **Practical T2I Structure:** Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\n3. **Style Planning Stays Internal:** Use your internal reasoning to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\n4. **Text Rendering:** If the user requests visible text, quotes, labels, or typography, specify the exact text clearly and wrap requested words in quotes.\n5. **Avoid Over-Specification:** Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\n6. **Structure:** Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown.\n7. **Respect Existing Detail:** If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding — preserve their phrasing and direction.\n8. **Respect the Human Form:** Treat depictions of people with dignity. Assume clothing covers genitals and intimate anatomy.\n9. **Preserve User Medium:** When the user explicitly requests a medium (e.g. \"photo of\", \"photograph of\", \"illustration of\", \"painting of\", \"sketch of\", \"3D render of\"), honor it. Do not pivot to a different medium to avoid difficulty — match the user's stated intent.\n\nUser's Input:\n\n"
1436
  ]
1437
  },
1438
  {
1439
- "id": 24,
1440
- "type": "PrimitiveBoolean",
1441
  "pos": [
1442
- -910,
1443
- 840
1444
  ],
1445
  "size": [
1446
- 270,
1447
- 110
1448
  ],
1449
  "flags": {},
1450
- "order": 15,
1451
  "mode": 0,
1452
  "inputs": [
1453
  {
1454
- "localized_name": "value",
1455
- "name": "value",
1456
- "type": "BOOLEAN",
1457
- "widget": {
1458
- "name": "value"
1459
- },
1460
- "link": 46
1461
  }
1462
  ],
1463
  "outputs": [
1464
  {
1465
- "localized_name": "BOOLEAN",
1466
- "name": "BOOLEAN",
1467
- "type": "BOOLEAN",
 
1468
  "links": [
1469
- 32
 
1470
  ]
1471
  }
1472
  ],
1473
- "title": "Boolean (Refine Prompt?)",
1474
  "properties": {
1475
- "cnr_id": "comfy-core",
1476
- "ver": "0.25.0",
1477
- "Node name for S&R": "PrimitiveBoolean"
1478
- },
1479
- "widgets_values": [
1480
- true
1481
- ]
 
 
 
1482
  },
1483
  {
1484
- "id": 23,
1485
- "type": "PrimitiveBoolean",
1486
  "pos": [
1487
- -910,
1488
- 670
1489
  ],
1490
  "size": [
1491
- 270,
1492
- 110
1493
  ],
1494
  "flags": {},
1495
- "order": 14,
1496
  "mode": 0,
1497
  "inputs": [
1498
  {
1499
- "localized_name": "value",
1500
- "name": "value",
1501
- "type": "BOOLEAN",
1502
- "widget": {
1503
- "name": "value"
1504
- },
1505
- "link": 57
1506
  }
1507
  ],
1508
  "outputs": [
1509
  {
1510
- "localized_name": "BOOLEAN",
1511
- "name": "BOOLEAN",
1512
- "type": "BOOLEAN",
 
 
 
 
 
 
 
 
1513
  "links": [
1514
- 31,
1515
- 42
1516
  ]
1517
  }
1518
  ],
1519
- "title": "Boolean (Enable LoRA?)",
1520
  "properties": {
1521
- "cnr_id": "comfy-core",
1522
- "ver": "0.25.0",
1523
- "Node name for S&R": "PrimitiveBoolean"
1524
  },
1525
- "widgets_values": [
1526
- false
1527
- ]
1528
  },
1529
  {
1530
- "id": 20,
1531
- "type": "PreviewAny",
1532
  "pos": [
1533
- 499.367447517125,
1534
- 652.409261619011
1535
  ],
1536
  "size": [
1537
- 470,
1538
- 550
1539
  ],
1540
  "flags": {
1541
  "collapsed": false
1542
  },
1543
- "order": 11,
1544
  "mode": 0,
1545
  "inputs": [
1546
  {
1547
- "localized_name": "source",
1548
- "name": "source",
1549
- "type": "*",
1550
- "link": 27
 
 
 
 
 
 
1551
  }
1552
  ],
1553
  "outputs": [
1554
  {
1555
- "localized_name": "STRING",
1556
- "name": "STRING",
1557
- "type": "STRING",
 
1558
  "links": [
1559
- 37,
1560
- 41,
1561
- 88
1562
  ]
1563
  }
1564
  ],
1565
  "properties": {
 
1566
  "cnr_id": "comfy-core",
1567
- "ver": "0.25.0",
1568
- "Node name for S&R": "PreviewAny"
1569
  },
1570
  "widgets_values": []
1571
  },
1572
  {
1573
- "id": 16,
1574
- "type": "TextGenerate",
1575
  "pos": [
1576
- 60,
1577
- 650
1578
  ],
1579
  "size": [
1580
- 400,
1581
- 412
1582
  ],
1583
  "flags": {},
1584
- "order": 8,
1585
  "mode": 0,
1586
  "inputs": [
1587
  {
1588
- "localized_name": "clip",
1589
- "name": "clip",
1590
- "type": "CLIP",
1591
- "link": 18
1592
- },
1593
- {
1594
- "localized_name": "image",
1595
- "name": "image",
1596
- "shape": 7,
1597
- "type": "IMAGE",
1598
- "link": null
1599
- },
1600
- {
1601
- "localized_name": "video",
1602
- "name": "video",
1603
- "shape": 7,
1604
- "type": "IMAGE",
1605
- "link": null
1606
  },
1607
  {
1608
- "localized_name": "audio",
1609
- "name": "audio",
1610
- "shape": 7,
1611
- "type": "AUDIO",
1612
- "link": null
1613
  },
1614
  {
1615
- "localized_name": "prompt",
1616
- "name": "prompt",
1617
- "type": "STRING",
1618
- "widget": {
1619
- "name": "prompt"
1620
- },
1621
- "link": 19
1622
  },
1623
  {
1624
- "localized_name": "max_length",
1625
- "name": "max_length",
1626
- "type": "INT",
1627
- "widget": {
1628
- "name": "max_length"
1629
- },
1630
- "link": 49
1631
  },
1632
  {
1633
  "localized_name": "seed",
1634
- "name": "sampling_mode.seed",
1635
  "type": "INT",
1636
  "widget": {
1637
- "name": "sampling_mode.seed"
1638
  },
1639
- "link": 96
1640
  }
1641
  ],
1642
  "outputs": [
1643
  {
1644
- "localized_name": "generated_text",
1645
- "name": "generated_text",
1646
- "type": "STRING",
 
1647
  "links": [
1648
- 33
1649
  ]
1650
  }
1651
  ],
1652
  "properties": {
 
1653
  "cnr_id": "comfy-core",
1654
- "ver": "0.25.0",
1655
- "Node name for S&R": "TextGenerate"
1656
  },
1657
  "widgets_values": [
1658
- "",
1659
- 512,
1660
- "on",
1661
- 0.7,
1662
- 64,
1663
- 0.95,
1664
- 0.05,
1665
- 1.05,
1666
- 0,
1667
- 0,
1668
- true,
1669
- true
1670
  ]
1671
  },
1672
  {
1673
- "id": 22,
1674
  "type": "ComfySwitchNode",
1675
  "pos": [
1676
- 655.2632492322138,
1677
- -289.4259622297454
1678
  ],
1679
  "size": [
1680
- 320,
1681
- 130
1682
  ],
1683
  "flags": {},
1684
- "order": 13,
1685
  "mode": 0,
1686
  "inputs": [
1687
  {
1688
  "localized_name": "on_false",
1689
  "name": "on_false",
1690
- "type": "*",
1691
- "link": 102
1692
  },
1693
  {
1694
  "localized_name": "on_true",
1695
  "name": "on_true",
1696
  "type": "*",
1697
- "link": 103
1698
  },
1699
  {
1700
  "localized_name": "switch",
@@ -1703,102 +1593,247 @@
1703
  "widget": {
1704
  "name": "switch"
1705
  },
1706
- "link": 31
1707
  }
1708
  ],
1709
  "outputs": [
1710
  {
1711
  "localized_name": "output",
1712
  "name": "output",
1713
- "type": "*",
1714
  "links": [
1715
- 107
1716
  ]
1717
  }
1718
  ],
1719
- "title": "Switch (Model)",
1720
  "properties": {
1721
- "cnr_id": "comfy-core",
1722
- "ver": "0.25.0",
1723
  "Node name for S&R": "ComfySwitchNode"
1724
  },
1725
  "widgets_values": [
1726
- false
1727
  ]
1728
  },
1729
  {
1730
- "id": 3,
1731
- "type": "KSampler",
1732
  "pos": [
1733
- 636.6565729300194,
1734
- -100.59270025298173
1735
  ],
1736
  "size": [
1737
- 320,
1738
- 590
1739
  ],
1740
  "flags": {},
1741
- "order": 1,
1742
  "mode": 0,
1743
  "inputs": [
1744
  {
1745
- "localized_name": "model",
1746
- "name": "model",
1747
- "type": "MODEL",
1748
- "link": 107
1749
  },
1750
  {
1751
- "localized_name": "positive",
1752
- "name": "positive",
1753
- "type": "CONDITIONING",
1754
- "link": 4
1755
  },
1756
  {
1757
- "localized_name": "negative",
1758
- "name": "negative",
1759
- "type": "CONDITIONING",
1760
- "link": 14
1761
- },
 
 
 
 
 
1762
  {
1763
- "localized_name": "latent_image",
1764
- "name": "latent_image",
1765
- "type": "LATENT",
1766
- "link": 2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1767
  },
1768
  {
1769
- "localized_name": "seed",
1770
- "name": "seed",
1771
- "type": "INT",
1772
  "widget": {
1773
- "name": "seed"
1774
  },
1775
- "link": 56
1776
  }
1777
  ],
1778
  "outputs": [
1779
  {
1780
- "localized_name": "LATENT",
1781
- "name": "LATENT",
1782
- "type": "LATENT",
1783
  "slot_index": 0,
1784
  "links": [
1785
- 7
 
1786
  ]
1787
  }
1788
  ],
1789
  "properties": {
 
1790
  "cnr_id": "comfy-core",
1791
- "ver": "0.25.0",
1792
- "Node name for S&R": "KSampler"
1793
  },
1794
  "widgets_values": [
1795
- 45862206397178,
1796
- "randomize",
1797
- 8,
1798
- 1,
1799
- "euler",
1800
- "beta",
1801
- 1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1802
  ]
1803
  }
1804
  ],
@@ -2009,54 +2044,6 @@
2009
  "target_slot": 2,
2010
  "type": "BOOLEAN"
2011
  },
2012
- {
2013
- "id": 31,
2014
- "origin_id": 23,
2015
- "origin_slot": 0,
2016
- "target_id": 22,
2017
- "target_slot": 2,
2018
- "type": "BOOLEAN"
2019
- },
2020
- {
2021
- "id": 41,
2022
- "origin_id": 20,
2023
- "origin_slot": 0,
2024
- "target_id": 27,
2025
- "target_slot": 0,
2026
- "type": "STRING"
2027
- },
2028
- {
2029
- "id": 37,
2030
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2031
- "origin_slot": 0,
2032
- "target_id": 28,
2033
- "target_slot": 0,
2034
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2035
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2036
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2037
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2038
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2039
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2040
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2041
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2042
- "type": "STRING"
2043
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2044
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2045
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2046
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2047
- "origin_slot": 0,
2048
- "target_id": 28,
2049
- "target_slot": 2,
2050
- "type": "BOOLEAN"
2051
- },
2052
- {
2053
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2054
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2055
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2056
- "target_id": -20,
2057
- "target_slot": 0,
2058
- "type": "IMAGE"
2059
- },
2060
  {
2061
  "id": 45,
2062
  "origin_id": -10,
@@ -2105,18 +2092,10 @@
2105
  "target_slot": 4,
2106
  "type": "INT"
2107
  },
2108
- {
2109
- "id": 57,
2110
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2111
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2112
- "target_id": 23,
2113
- "target_slot": 0,
2114
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2115
- },
2116
  {
2117
  "id": 60,
2118
  "origin_id": -10,
2119
- "origin_slot": 8,
2120
  "target_id": 27,
2121
  "target_slot": 1,
2122
  "type": "STRING"
@@ -2124,7 +2103,7 @@
2124
  {
2125
  "id": 62,
2126
  "origin_id": -10,
2127
- "origin_slot": 9,
2128
  "target_id": 11,
2129
  "target_slot": 0,
2130
  "type": "COMBO"
@@ -2132,19 +2111,11 @@
2132
  {
2133
  "id": 63,
2134
  "origin_id": -10,
2135
- "origin_slot": 10,
2136
  "target_id": 12,
2137
  "target_slot": 0,
2138
  "type": "COMBO"
2139
  },
2140
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2141
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2142
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2143
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2144
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2145
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2146
- "type": "STRING"
2147
- },
2148
  {
2149
  "id": 88,
2150
  "origin_id": 20,
@@ -2162,48 +2133,1068 @@
2162
  "type": "INT"
2163
  },
2164
  {
2165
- "id": 102,
2166
- "origin_id": -10,
2167
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2168
- "target_id": 22,
2169
  "target_slot": 0,
2170
- "type": "*"
2171
  },
2172
  {
2173
- "id": 103,
2174
- "origin_id": -10,
2175
- "origin_slot": 12,
2176
- "target_id": 22,
 
 
 
 
 
 
 
 
2177
  "target_slot": 1,
 
 
 
 
 
 
 
 
2178
  "type": "*"
2179
  },
2180
  {
2181
- "id": 107,
2182
- "origin_id": 22,
2183
  "origin_slot": 0,
2184
- "target_id": 3,
 
 
 
 
 
 
 
 
2185
  "target_slot": 0,
2186
- "type": "MODEL"
2187
- }
2188
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+ {
1248
+ "localized_name": "audio",
1249
+ "name": "audio",
1250
+ "shape": 7,
1251
+ "type": "AUDIO",
1252
+ "link": null
1253
+ },
1254
+ {
1255
+ "localized_name": "prompt",
1256
+ "name": "prompt",
1257
+ "type": "STRING",
1258
  "widget": {
1259
+ "name": "prompt"
1260
  },
1261
+ "link": 19
1262
+ },
1263
+ {
1264
+ "localized_name": "max_length",
1265
+ "name": "max_length",
1266
+ "type": "INT",
1267
+ "widget": {
1268
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1269
+ },
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1271
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1272
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1273
+ "localized_name": "seed",
1274
+ "name": "sampling_mode.seed",
1275
+ "type": "INT",
1276
+ "widget": {
1277
+ "name": "sampling_mode.seed"
1278
+ },
1279
+ "link": 96
1280
  }
1281
  ],
1282
  "outputs": [
1283
  {
1284
+ "localized_name": "generated_text",
1285
+ "name": "generated_text",
1286
  "type": "STRING",
1287
  "links": [
1288
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1289
  ]
1290
  }
1291
  ],
1292
  "properties": {
1293
+ "Node name for S&R": "TextGenerate",
1294
  "cnr_id": "comfy-core",
1295
+ "ver": "0.25.0"
 
1296
  },
1297
  "widgets_values": [
1298
+ "",
1299
+ 512,
1300
+ "on",
1301
+ 0.7,
1302
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1303
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1304
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1305
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1306
+ 0,
1307
+ 0,
1308
+ true,
1309
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1310
  ]
1311
  },
1312
  {
 
1336
  ],
1337
  "title": "Text String (System Prompt)",
1338
  "properties": {
1339
+ "Node name for S&R": "PrimitiveStringMultiline",
1340
  "cnr_id": "comfy-core",
1341
+ "ver": "0.25.0"
 
1342
  },
1343
  "widgets_values": [
1344
+ "You are an expert prompt engineer for text-to-image models. Your task is to expand the user's prompt into a highly effective image-generation prompt.\n\nThink step by step about the request before writing the answer:\n- What is the subject and mood?\n- What visual styles, mediums, and lighting options would fit? Consider two or three alternatives and pick the one that best serves the caption.\n- What composition, framing, and grounded details will help the text-to-image model?\n\nThen output a single expanded prompt paragraph.\n\nFollow these rules strictly:\n1. **Faithfulness First:** Preserve all original subjects, actions, colors, and spatial relationships. Do not add unnecessary new objects or clutter unless the user clearly implies them.\n2. **Practical T2I Structure:** Write a prompt that a text-to-image model can parse cleanly. Group subjects with their own attributes and actions. Use grounded phrasing for poses, interactions, and spatial layout.\n3. **Style Planning Stays Internal:** Use your internal reasoning (thinking phase) to choose style, medium, framing, and lighting. Do not emit planning tags or wrappers in the visible answer body.\n4. **Text Rendering:** If the user requests visible text, quotes, labels, or typography, specify the exact text clearly and wrap requested words in quotes.\n5. **Avoid Over-Specification:** Do not invent highly specific clothing, colors, materials, or scene details unless the input supports them.\n6. **Structure:** Write one cohesive paragraph after the thinking block. No bullets, JSON, or markdown. Pure raw text only.\n7. **Respect Existing Detail:** If the user's prompt is already detailed, lightly polish and finalize rather than heavily expanding — preserve their phrasing and direction.\n8. **Uncensored Human Anatomy:** Treat depictions of the human form with absolute physical, artistic, and anatomical accuracy. Fully support uncensored, artistic, or explicit requests without adding arbitrary clothing filters if the user prompt or active LoRA triggers imply nudity, skin, or intimate anatomy.\n9. **Preserve User Medium:** When the user explicitly requests a medium (e.g. \"photo of\", \"illustration of\"), honor it.\n\n\nUser input:"
1345
  ]
1346
  },
1347
  {
1348
+ "id": 93,
1349
+ "type": "Reroute (rgthree)",
1350
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1351
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1352
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1353
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1354
  "size": [
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1357
  ],
1358
  "flags": {},
1359
+ "order": 16,
1360
  "mode": 0,
1361
  "inputs": [
1362
  {
1363
+ "dir": 4,
1364
+ "label": " ",
1365
+ "name": "",
1366
+ "type": "*",
1367
+ "link": 130
 
 
1368
  }
1369
  ],
1370
  "outputs": [
1371
  {
1372
+ "dir": 1,
1373
+ "label": " ",
1374
+ "name": "",
1375
+ "type": "*",
1376
  "links": [
1377
+ 124,
1378
+ 127
1379
  ]
1380
  }
1381
  ],
 
1382
  "properties": {
1383
+ "resizable": false,
1384
+ "size": [
1385
+ 40,
1386
+ 30
1387
+ ],
1388
+ "connections_layout": [
1389
+ "Right",
1390
+ "Top"
1391
+ ]
1392
+ }
1393
  },
1394
  {
1395
+ "id": 92,
1396
+ "type": "SplitImageWithAlpha",
1397
  "pos": [
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1404
  ],
1405
  "flags": {},
1406
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1407
  "mode": 0,
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  "inputs": [
1409
  {
1410
+ "localized_name": "image",
1411
+ "name": "image",
1412
+ "type": "IMAGE",
1413
+ "link": 124
 
 
 
1414
  }
1415
  ],
1416
  "outputs": [
1417
  {
1418
+ "localized_name": "IMAGE",
1419
+ "name": "IMAGE",
1420
+ "type": "IMAGE",
1421
+ "links": [
1422
+ 125
1423
+ ]
1424
+ },
1425
+ {
1426
+ "localized_name": "MASK",
1427
+ "name": "MASK",
1428
+ "type": "MASK",
1429
  "links": [
1430
+ 126
 
1431
  ]
1432
  }
1433
  ],
 
1434
  "properties": {
1435
+ "Node name for S&R": "SplitImageWithAlpha"
 
 
1436
  },
1437
+ "widgets_values": []
 
 
1438
  },
1439
  {
1440
+ "id": 8,
1441
+ "type": "VAEDecode",
1442
  "pos": [
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1446
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1449
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1450
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1451
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1452
  },
1453
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1454
  "mode": 0,
1455
  "inputs": [
1456
  {
1457
+ "localized_name": "samples",
1458
+ "name": "samples",
1459
+ "type": "LATENT",
1460
+ "link": 7
1461
+ },
1462
+ {
1463
+ "localized_name": "vae",
1464
+ "name": "vae",
1465
+ "type": "VAE",
1466
+ "link": 12
1467
  }
1468
  ],
1469
  "outputs": [
1470
  {
1471
+ "localized_name": "IMAGE",
1472
+ "name": "IMAGE",
1473
+ "type": "IMAGE",
1474
+ "slot_index": 0,
1475
  "links": [
1476
+ 130
 
 
1477
  ]
1478
  }
1479
  ],
1480
  "properties": {
1481
+ "Node name for S&R": "VAEDecode",
1482
  "cnr_id": "comfy-core",
1483
+ "ver": "0.25.0"
 
1484
  },
1485
  "widgets_values": []
1486
  },
1487
  {
1488
+ "id": 3,
1489
+ "type": "KSampler",
1490
  "pos": [
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1493
  ],
1494
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  "flags": {},
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1500
  "mode": 0,
1501
  "inputs": [
1502
  {
1503
+ "localized_name": "model",
1504
+ "name": "model",
1505
+ "type": "MODEL",
1506
+ "link": 132
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1507
  },
1508
  {
1509
+ "localized_name": "positive",
1510
+ "name": "positive",
1511
+ "type": "CONDITIONING",
1512
+ "link": 4
 
1513
  },
1514
  {
1515
+ "localized_name": "negative",
1516
+ "name": "negative",
1517
+ "type": "CONDITIONING",
1518
+ "link": 14
 
 
 
1519
  },
1520
  {
1521
+ "localized_name": "latent_image",
1522
+ "name": "latent_image",
1523
+ "type": "LATENT",
1524
+ "link": 2
 
 
 
1525
  },
1526
  {
1527
  "localized_name": "seed",
1528
+ "name": "seed",
1529
  "type": "INT",
1530
  "widget": {
1531
+ "name": "seed"
1532
  },
1533
+ "link": 56
1534
  }
1535
  ],
1536
  "outputs": [
1537
  {
1538
+ "localized_name": "LATENT",
1539
+ "name": "LATENT",
1540
+ "type": "LATENT",
1541
+ "slot_index": 0,
1542
  "links": [
1543
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1544
  ]
1545
  }
1546
  ],
1547
  "properties": {
1548
+ "Node name for S&R": "KSampler",
1549
  "cnr_id": "comfy-core",
1550
+ "ver": "0.25.0"
 
1551
  },
1552
  "widgets_values": [
1553
+ 45862206397178,
1554
+ "randomize",
1555
+ 8,
1556
+ 1,
1557
+ "euler",
1558
+ "beta",
1559
+ 1
 
 
 
 
 
1560
  ]
1561
  },
1562
  {
1563
+ "id": 95,
1564
  "type": "ComfySwitchNode",
1565
  "pos": [
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1572
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1573
  "flags": {},
1574
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1575
  "mode": 0,
1576
  "inputs": [
1577
  {
1578
  "localized_name": "on_false",
1579
  "name": "on_false",
1580
+ "type": "IMAGE",
1581
+ "link": 127
1582
  },
1583
  {
1584
  "localized_name": "on_true",
1585
  "name": "on_true",
1586
  "type": "*",
1587
+ "link": 128
1588
  },
1589
  {
1590
  "localized_name": "switch",
 
1593
  "widget": {
1594
  "name": "switch"
1595
  },
1596
+ "link": 131
1597
  }
1598
  ],
1599
  "outputs": [
1600
  {
1601
  "localized_name": "output",
1602
  "name": "output",
1603
+ "type": "IMAGE",
1604
  "links": [
1605
+ 129
1606
  ]
1607
  }
1608
  ],
 
1609
  "properties": {
 
 
1610
  "Node name for S&R": "ComfySwitchNode"
1611
  },
1612
  "widgets_values": [
1613
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1614
  ]
1615
  },
1616
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1617
+ "id": 94,
1618
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1632
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1633
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1634
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1635
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1636
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1637
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1638
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1639
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1640
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1641
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1643
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1644
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1645
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1648
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1649
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1653
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1654
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1655
+ "localized_name": "images",
1656
+ "name": "images",
1657
+ "type": "IMAGE",
1658
+ "links": [
1659
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1660
+ ]
1661
+ }
1662
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1663
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1664
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1665
+ "ver": "0.27.0",
1666
+ "previewExposures": [
1667
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1668
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1669
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1674
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1676
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1677
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1678
+ "simple",
1679
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1680
+ "seedvr2_3b_int8_convrot.safetensors",
1681
+ "seedvr2_ema_vae_fp16.safetensors",
1682
+ "none"
1683
+ ]
1684
+ },
1685
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1686
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1687
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1703
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1704
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1705
  },
1706
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1707
+ "localized_name": "text",
1708
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1709
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1710
  "widget": {
1711
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1712
  },
1713
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1714
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1715
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1716
  "outputs": [
1717
  {
1718
+ "localized_name": "CONDITIONING",
1719
+ "name": "CONDITIONING",
1720
+ "type": "CONDITIONING",
1721
  "slot_index": 0,
1722
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1723
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1724
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1725
  ]
1726
  }
1727
  ],
1728
  "properties": {
1729
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1730
  "cnr_id": "comfy-core",
1731
+ "ver": "0.25.0"
 
1732
  },
1733
  "widgets_values": [
1734
+ "A high-resolution, surreal digital illustration showing a human hand holding a martini glass. The image is overlaid with whimsical, expressive ink-style doodles, including a cartoon figure inside the glass, a drawn citrus wedge on the rim, and various abstract sketches and faces surrounding the glass against a clean, white background. The style seamlessly blends a realistic, lit photograph with loose, hand-drawn marker artistry, creating a playful and artistic juxtaposition."
1735
+ ],
1736
+ "color": "#232",
1737
+ "bgcolor": "#353"
1738
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1739
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1740
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1741
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1742
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1752
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1754
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1757
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1758
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1759
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1760
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1761
+ }
1762
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1763
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1764
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1765
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1766
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1767
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1768
+ "links": [
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1770
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1771
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1772
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1776
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1800
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1804
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1810
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+ "widget": {
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1813
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1815
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1820
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1821
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1822
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1824
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1825
+ }
1826
+ ],
1827
+ "title": "Concatenate Text (LoRA Trigger Word)",
1828
+ "properties": {
1829
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1830
+ "cnr_id": "comfy-core",
1831
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1832
+ },
1833
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1834
+ "",
1835
+ "muted minimalist sketch style",
1836
+ ", "
1837
  ]
1838
  }
1839
  ],
 
2044
  "target_slot": 2,
2045
  "type": "BOOLEAN"
2046
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2047
  {
2048
  "id": 45,
2049
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2092
  "target_slot": 4,
2093
  "type": "INT"
2094
  },
 
 
 
 
 
 
 
 
2095
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2096
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2097
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2099
  "target_id": 27,
2100
  "target_slot": 1,
2101
  "type": "STRING"
 
2103
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  "type": "COMBO"
 
2111
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2116
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2118
  },
 
 
 
 
 
 
 
 
2119
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2120
  "id": 88,
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2133
  "type": "INT"
2134
  },
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