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  1. z_oldfiles/SD15_tidy-latent-hiresfix.json +0 -1710
  2. z_oldfiles/SD15_tidy-latent-hiresfix.png +0 -3
  3. z_oldfiles/SDXL_tidy-SAIstyle-GLpromptSDXL-LoRA-VAE-RecRes-KsamplerUpscaleBaseRefiner-workflow-template.json +0 -4050
  4. z_oldfiles/SDXL_tidy-SAIstyle-GLpromptSDXL-LoRA-VAE-RecRes-KsamplerUpscaleBaseRefiner-workflow-template.png +0 -3
  5. z_oldfiles/SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-KsamplerUpscaleBaseRefiner-workflow-template.json +0 -3098
  6. z_oldfiles/SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-KsamplerUpscaleBaseRefiner-workflow-template.png +0 -3
  7. z_oldfiles/SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-SingleSDXL-ControlNet-ModelUpscale-workflow-template.json +0 -2738
  8. z_oldfiles/SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-SingleSDXL-ControlNet-ModelUpscale-workflow-template.png +0 -3
  9. z_oldfiles/SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-SingleSDXL-FastLatentUpscale-workflow-template.json +0 -2007
  10. z_oldfiles/SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-SingleSDXL-FastLatentUpscale-workflow-template.png +0 -3
  11. z_oldfiles/SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-SingleSDXL-ModelUpscale-workflow-template.json +0 -2075
  12. z_oldfiles/SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-SingleSDXL-ModelUpscale-workflow-template.png +0 -3
  13. z_oldfiles/SDXL_tidy-SAIstyle-LoRA-VAE-workflow-template_rev4b.json +0 -1770
  14. z_oldfiles/SDXL_tidy-SAIstyle-LoRA-VAE-workflow-template_rev4b.png +0 -3
  15. z_oldfiles/SDXL_tidy-workflow-template.json +0 -1295
  16. z_oldfiles/SDXL_tidy-workflow-template.png +0 -3
  17. z_oldfiles/_preview_SD15_tidy-latent-hiresfix.jpg +0 -3
  18. z_oldfiles/_preview_SDXL_tidy-SAIstyle-GLpromptSDXL-LoRA-VAE-RecRes-KsamplerUpscaleBaseRefiner-workflow-template.jpg +0 -3
  19. z_oldfiles/_preview_SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-KsamplerUpscaleBaseRefiner-workflow-template.jpg +0 -3
  20. z_oldfiles/_preview_SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-SingleSDXL-ControlNet-ModelUpscale-workflow-template.jpg +0 -3
  21. z_oldfiles/_preview_SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-SingleSDXL-FastLatentUpscale-workflow-template.jpg +0 -3
  22. z_oldfiles/_preview_SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-SingleSDXL-ModelUpscale-workflow-template.jpg +0 -3
  23. z_oldfiles/_preview_SDXL_tidy-SAIstyle-LoRA-VAE-workflow-template_rev4b.jpg +0 -3
  24. z_oldfiles/_preview_SDXL_tidy-workflow-template.jpg +0 -3
  25. z_oldfiles/old-template.txt +0 -5
  26. z_oldfiles/smolcat.png +0 -3
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- "properties": {
340
- "text": ""
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- "widgets_values": [
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- "This is a checkpoint model loader. \n - This is set up automatically with the optimal settings for whatever SD model version you choose to use.\n - In this example, it is for the Base SDXL model\n - This node is also used for SD1.5 and SD2.x models\n \nNOTE: When loading in another person's workflow, be sure to manually choose your own *local* model. This also applies to LoRas and all their deviations"
344
- ],
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- "color": "#323",
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- "bgcolor": "#535"
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- "flags": {
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- "pinned": true
361
- },
362
- "order": 8,
363
- "mode": 0,
364
- "title": "Note - Empty Latent Image",
365
- "properties": {
366
- "text": ""
367
- },
368
- "widgets_values": [
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- "This node sets the image's resolution in Width and Height.\n\nNOTE: For SDXL, it is recommended to use trained values listed below:\n - 1024 x 1024\n - 1152 x 896\n - 896 x 1152\n - 1216 x 832\n - 832 x 1216\n - 1344 x 768\n - 768 x 1344\n - 1536 x 640\n - 640 x 1536"
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- "outputs": [
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- "name": "",
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- "slot_index": 0,
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- "label": "VAE"
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- }
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- "title": "VAE",
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- "type": "CLIP",
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- "order": 9,
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- "title": "Note - CLIP Encode (BASE)",
478
- "properties": {
479
- "text": ""
480
- },
481
- "widgets_values": [
482
- "These nodes receive the text from the prompt and use the optimal CLIP settings for the specified checkpoint model (in this case: SDXL Base)"
483
- ],
484
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486
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- "name": "text_l",
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- "type": "IMAGE",
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- "label": "YES",
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- "title": "YES",
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1265
- "shape": 3,
1266
- "slot_index": 0
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1268
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1269
- "title": "KSampler (Adv.) - BASE",
1270
- "properties": {
1271
- "Node name for S&R": "KSamplerAdvanced"
1272
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1273
- "widgets_values": [
1274
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1285
- "color": "#223",
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1370
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1371
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1377
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1378
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- "type": "LATENT",
1380
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1381
- 287
1382
- ],
1383
- "shape": 3,
1384
- "slot_index": 0
1385
- }
1386
- ],
1387
- "title": "KSampler (Adv.) - REFINER",
1388
- "properties": {
1389
- "Node name for S&R": "KSamplerAdvanced"
1390
- },
1391
- "widgets_values": [
1392
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1393
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1394
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1395
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1396
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1397
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1399
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1400
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1402
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1403
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- "bgcolor": "#335"
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1411
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1442
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1443
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1444
- "title": "upscale steps stop at",
1445
- "properties": {},
1446
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1447
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1449
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1450
- "color": "#432",
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1467
- "order": 13,
1468
- "mode": 0,
1469
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- "name": "INT",
1472
- "type": "INT",
1473
- "links": [
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1477
- "slot_index": 0,
1478
- "widget": {
1479
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1480
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1481
- "INT",
1482
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1483
- "default": 10000,
1484
- "min": 0,
1485
- "max": 10000
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- }
1487
- ]
1488
- }
1489
- }
1490
- ],
1491
- "title": "upscale steps start at",
1492
- "properties": {},
1493
- "widgets_values": [
1494
- 35,
1495
- "fixed"
1496
- ],
1497
- "color": "#432",
1498
- "bgcolor": "#653"
1499
- },
1500
- {
1501
- "id": 45,
1502
- "type": "PrimitiveNode",
1503
- "pos": [
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1511
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1513
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1514
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1515
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1516
- "outputs": [
1517
- {
1518
- "name": "INT",
1519
- "type": "INT",
1520
- "links": [
1521
- 443,
1522
- 445
1523
- ],
1524
- "widget": {
1525
- "name": "steps",
1526
- "config": [
1527
- "INT",
1528
- {
1529
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1530
- "min": 1,
1531
- "max": 10000
1532
- }
1533
- ]
1534
- }
1535
- }
1536
- ],
1537
- "title": "base + refiner steps",
1538
- "properties": {},
1539
- "widgets_values": [
1540
- 25,
1541
- "fixed"
1542
- ],
1543
- "color": "#432",
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- "bgcolor": "#653"
1545
- },
1546
- {
1547
- "id": 38,
1548
- "type": "Note",
1549
- "pos": [
1550
- 350,
1551
- 1400
1552
- ],
1553
- "size": {
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1557
- "flags": {
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- },
1560
- "order": 15,
1561
- "mode": 0,
1562
- "title": "Note - Text Prompts",
1563
- "properties": {
1564
- "text": ""
1565
- },
1566
- "widgets_values": [
1567
- "These nodes are where you include the text for:\n - what you want in the picture (Positive Prompt, Green)\n - or what you don't want in the picture (Negative Prompt, Red)\n\nThis node type is called a \"PrimitiveNode\" if you are searching for the node type."
1568
- ],
1569
- "color": "#323",
1570
- "bgcolor": "#535"
1571
- },
1572
- {
1573
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1574
- "type": "Note",
1575
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1577
- 1280
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- ],
1579
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1580
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1581
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1582
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1583
- "flags": {
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1585
- },
1586
- "order": 16,
1587
- "mode": 0,
1588
- "title": "Note - CLIP Encode (REFINER)",
1589
- "properties": {
1590
- "text": ""
1591
- },
1592
- "widgets_values": [
1593
- "These nodes receive the text from the prompt and use the optimal CLIP settings for the specified checkpoint model (in this case: SDXL Refiner)"
1594
- ],
1595
- "color": "#323",
1596
- "bgcolor": "#535"
1597
- },
1598
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1599
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1600
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1605
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1609
- "flags": {
1610
- "pinned": true
1611
- },
1612
- "order": 17,
1613
- "mode": 0,
1614
- "title": "Note - CLIP Encode (BASE)",
1615
- "properties": {
1616
- "text": ""
1617
- },
1618
- "widgets_values": [
1619
- "These nodes receive the text from the prompt and use the optimal CLIP settings for the specified checkpoint model (in this case: SDXL Base)"
1620
- ],
1621
- "color": "#323",
1622
- "bgcolor": "#535"
1623
- },
1624
- {
1625
- "id": 40,
1626
- "type": "Note",
1627
- "pos": [
1628
- 680,
1629
- 1480
1630
- ],
1631
- "size": {
1632
- "0": 451.5049743652344,
1633
- "1": 424.4164123535156
1634
- },
1635
- "flags": {
1636
- "pinned": true
1637
- },
1638
- "order": 18,
1639
- "mode": 0,
1640
- "title": "Note - KSampler ADVANCED General Information",
1641
- "properties": {
1642
- "text": ""
1643
- },
1644
- "widgets_values": [
1645
- "Here are the settings that SHOULD stay in place if you want this workflow to work correctly:\n - add_noise: enable = This adds random noise into the picture so the model can denoise it\n\n - return_with_leftover_noise: enable = This sends the latent image data and all it's leftover noise to the next KSampler node.\n\nThe settings to pay attention to:\n - control_after_generate = generates a new random seed after each workflow job completed.\n - steps = This is the amount of iterations you would like to run the positive and negative CLIP prompts through. Each Step will add (positive) or remove (negative) pixels based on what stable diffusion \"thinks\" should be there according to the model's training\n - cfg = This is how much you want SDXL to adhere to the prompt. Lower CFG gives you more creative but often blurrier results. Higher CFG (recommended max 10) gives you stricter results according to the CLIP prompt. If the CFG value is too high, it can also result in \"burn-in\" where the edges of the picture become even stronger, often highlighting details in unnatural ways.\n - sampler_name = This is the sampler type, and unfortunately different samplers and schedulers have better results with fewer steps, while others have better success with higher steps. This will require experimentation on your part!\n - scheduler = The algorithm/method used to choose the timesteps to denoise the picture.\n - start_at_step = This is the step number the KSampler will start out it's process of de-noising the picture or \"removing the random noise to reveal the picture within\". The first KSampler usually starts with Step 0. Starting at step 0 is the same as setting denoise to 1.0 in the regular Sampler node.\n - end_at_step = This is the step number the KSampler will stop it's process of de-noising the picture. If there is any remaining leftover noise and return_with_leftover_noise is enabled, then it will pass on the left over noise to the next KSampler (assuming there is another one)."
1646
- ],
1647
- "color": "#223",
1648
- "bgcolor": "#335"
1649
- },
1650
- {
1651
- "id": 48,
1652
- "type": "Note",
1653
- "pos": [
1654
- 680,
1655
- 1330
1656
- ],
1657
- "size": {
1658
- "0": 213.90769958496094,
1659
- "1": 110.17156982421875
1660
- },
1661
- "flags": {
1662
- "pinned": true
1663
- },
1664
- "order": 19,
1665
- "mode": 0,
1666
- "title": "Note - Step Control",
1667
- "properties": {
1668
- "text": ""
1669
- },
1670
- "widgets_values": [
1671
- "These can be used to control the total sampling steps and the step at which the sampling switches to the refiner."
1672
- ],
1673
- "color": "#432",
1674
- "bgcolor": "#653"
1675
- },
1676
- {
1677
- "id": 41,
1678
- "type": "Note",
1679
- "pos": [
1680
- 680,
1681
- 1170
1682
- ],
1683
- "size": {
1684
- "0": 320,
1685
- "1": 120
1686
- },
1687
- "flags": {
1688
- "pinned": true
1689
- },
1690
- "order": 20,
1691
- "mode": 0,
1692
- "title": "Note - VAE Decoder",
1693
- "properties": {
1694
- "text": ""
1695
- },
1696
- "widgets_values": [
1697
- "This node will take the latent data from the KSampler and, using the VAE, it will decode it into visible data\n\nVAE = Latent --> Visible\n\nThis can then be sent to the Save Image node to be saved as a PNG."
1698
- ],
1699
- "color": "#332922",
1700
- "bgcolor": "#593930"
1701
- },
1702
- {
1703
- "id": 67,
1704
- "type": "KSamplerAdvanced",
1705
- "pos": [
1706
- 810,
1707
- 370
1708
- ],
1709
- "size": {
1710
- "0": 248.91372680664062,
1711
- "1": 543.3422241210938
1712
- },
1713
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- "pinned": true,
1715
- "collapsed": false
1716
- },
1717
- "order": 43,
1718
- "mode": 0,
1719
- "inputs": [
1720
- {
1721
- "name": "model",
1722
- "type": "MODEL",
1723
- "link": 457
1724
- },
1725
- {
1726
- "name": "positive",
1727
- "type": "CONDITIONING",
1728
- "link": 456
1729
- },
1730
- {
1731
- "name": "negative",
1732
- "type": "CONDITIONING",
1733
- "link": 455
1734
- },
1735
- {
1736
- "name": "latent_image",
1737
- "type": "LATENT",
1738
- "link": 387
1739
- },
1740
- {
1741
- "name": "steps",
1742
- "type": "INT",
1743
- "link": 467,
1744
- "widget": {
1745
- "name": "steps",
1746
- "config": [
1747
- "INT",
1748
- {
1749
- "default": 20,
1750
- "min": 1,
1751
- "max": 10000
1752
- }
1753
- ]
1754
- }
1755
- },
1756
- {
1757
- "name": "end_at_step",
1758
- "type": "INT",
1759
- "link": 466,
1760
- "widget": {
1761
- "name": "end_at_step",
1762
- "config": [
1763
- "INT",
1764
- {
1765
- "default": 10000,
1766
- "min": 0,
1767
- "max": 10000
1768
- }
1769
- ]
1770
- },
1771
- "slot_index": 5
1772
- },
1773
- {
1774
- "name": "noise_seed",
1775
- "type": "INT",
1776
- "link": 435,
1777
- "widget": {
1778
- "name": "noise_seed",
1779
- "config": [
1780
- "INT",
1781
- {
1782
- "default": 0,
1783
- "min": 0,
1784
- "max": 18446744073709552000
1785
- }
1786
- ]
1787
- },
1788
- "slot_index": 6
1789
- }
1790
- ],
1791
- "outputs": [
1792
- {
1793
- "name": "LATENT",
1794
- "type": "LATENT",
1795
- "links": [
1796
- 448
1797
- ],
1798
- "shape": 3,
1799
- "slot_index": 0
1800
- }
1801
- ],
1802
- "title": "KSampler UPSCALE BASE",
1803
- "properties": {
1804
- "Node name for S&R": "KSamplerAdvanced"
1805
- },
1806
- "widgets_values": [
1807
- "enable",
1808
- 31337,
1809
- "randomize",
1810
- 37,
1811
- 7.5,
1812
- "ddim",
1813
- "ddim_uniform",
1814
- 25,
1815
- 35,
1816
- "enable"
1817
- ],
1818
- "color": "#323",
1819
- "bgcolor": "#535"
1820
- },
1821
- {
1822
- "id": 58,
1823
- "type": "ImageUpscaleWithModel",
1824
- "pos": [
1825
- 140,
1826
- 860
1827
- ],
1828
- "size": {
1829
- "0": 252,
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- "1": 46
1831
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- "flags": {
1833
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- "link": 13
501
- },
502
- {
503
- "name": "steps",
504
- "type": "INT",
505
- "link": 38,
506
- "widget": {
507
- "name": "steps",
508
- "config": [
509
- "INT",
510
- {
511
- "default": 20,
512
- "min": 1,
513
- "max": 10000
514
- }
515
- ]
516
- },
517
- "slot_index": 4
518
- },
519
- {
520
- "name": "start_at_step",
521
- "type": "INT",
522
- "link": 44,
523
- "widget": {
524
- "name": "start_at_step",
525
- "config": [
526
- "INT",
527
- {
528
- "default": 0,
529
- "min": 0,
530
- "max": 10000
531
- }
532
- ]
533
- }
534
- }
535
- ],
536
- "outputs": [
537
- {
538
- "name": "LATENT",
539
- "type": "LATENT",
540
- "links": [
541
- 67
542
- ],
543
- "shape": 3,
544
- "slot_index": 0
545
- }
546
- ],
547
- "title": "KSampler (Advanced) - REFINER",
548
- "properties": {
549
- "Node name for S&R": "KSamplerAdvanced"
550
- },
551
- "widgets_values": [
552
- "disable",
553
- 0,
554
- "fixed",
555
- 25,
556
- 8,
557
- "euler",
558
- "normal",
559
- 20,
560
- 10000,
561
- "disable"
562
- ],
563
- "color": "#223",
564
- "bgcolor": "#335"
565
- },
566
- {
567
- "id": 38,
568
- "type": "Note",
569
- "pos": [
570
- 345,
571
- 1287
572
- ],
573
- "size": {
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- "0": 284.3257141113281,
575
- "1": 123.88604736328125
576
- },
577
- "flags": {},
578
- "order": 6,
579
- "mode": 0,
580
- "title": "Note - Text Prompts",
581
- "properties": {
582
- "text": ""
583
- },
584
- "widgets_values": [
585
- "These nodes are where you include the text for:\n - what you want in the picture (Positive Prompt, Green)\n - or what you don't want in the picture (Negative Prompt, Red)\n\nThis node type is called a \"PrimitiveNode\" if you are searching for the node type."
586
- ],
587
- "color": "#323",
588
- "bgcolor": "#535"
589
- },
590
- {
591
- "id": 43,
592
- "type": "Note",
593
- "pos": [
594
- 348,
595
- 1159
596
- ],
597
- "size": {
598
- "0": 240,
599
- "1": 80
600
- },
601
- "flags": {},
602
- "order": 7,
603
- "mode": 0,
604
- "title": "Note - CLIP Encode (REFINER)",
605
- "properties": {
606
- "text": ""
607
- },
608
- "widgets_values": [
609
- "These nodes receive the text from the prompt and use the optimal CLIP settings for the specified checkpoint model (in this case: SDXL Refiner)"
610
- ],
611
- "color": "#323",
612
- "bgcolor": "#535"
613
- },
614
- {
615
- "id": 39,
616
- "type": "Note",
617
- "pos": [
618
- 352,
619
- 1027
620
- ],
621
- "size": {
622
- "0": 238.26402282714844,
623
- "1": 80.99152374267578
624
- },
625
- "flags": {},
626
- "order": 8,
627
- "mode": 0,
628
- "title": "Note - CLIP Encode (BASE)",
629
- "properties": {
630
- "text": ""
631
- },
632
- "widgets_values": [
633
- "These nodes receive the text from the prompt and use the optimal CLIP settings for the specified checkpoint model (in this case: SDXL Base)"
634
- ],
635
- "color": "#323",
636
- "bgcolor": "#535"
637
- },
638
- {
639
- "id": 36,
640
- "type": "Note",
641
- "pos": [
642
- -2,
643
- 1032
644
- ],
645
- "size": {
646
- "0": 315.70074462890625,
647
- "1": 147.9551239013672
648
- },
649
- "flags": {},
650
- "order": 9,
651
- "mode": 0,
652
- "title": "Note - Load Checkpoint BASE",
653
- "properties": {
654
- "text": ""
655
- },
656
- "widgets_values": [
657
- "This is a checkpoint model loader. \n - This is set up automatically with the optimal settings for whatever SD model version you choose to use.\n - In this example, it is for the Base SDXL model\n - This node is also used for SD1.5 and SD2.x models\n \nNOTE: When loading in another person's workflow, be sure to manually choose your own *local* model. This also applies to LoRas and all their deviations"
658
- ],
659
- "color": "#323",
660
- "bgcolor": "#535"
661
- },
662
- {
663
- "id": 37,
664
- "type": "Note",
665
- "pos": [
666
- -4,
667
- 1222
668
- ],
669
- "size": {
670
- "0": 330,
671
- "1": 140
672
- },
673
- "flags": {},
674
- "order": 10,
675
- "mode": 0,
676
- "title": "Note - Load Checkpoint REFINER",
677
- "properties": {
678
- "text": ""
679
- },
680
- "widgets_values": [
681
- "This is a checkpoint model loader. \n - This is set up automatically with the optimal settings for whatever SD model version you choose to use.\n - In this example, it is for the Refiner SDXL model\n\nNOTE: When loading in another person's workflow, be sure to manually choose your own *local* model. This also applies to LoRas and all their deviations."
682
- ],
683
- "color": "#323",
684
- "bgcolor": "#535"
685
- },
686
- {
687
- "id": 42,
688
- "type": "Note",
689
- "pos": [
690
- -2,
691
- 1408
692
- ],
693
- "size": {
694
- "0": 260,
695
- "1": 210
696
- },
697
- "flags": {},
698
- "order": 11,
699
- "mode": 0,
700
- "title": "Note - Empty Latent Image",
701
- "properties": {
702
- "text": ""
703
- },
704
- "widgets_values": [
705
- "This node sets the image's resolution in Width and Height.\n\nNOTE: For SDXL, it is recommended to use trained values listed below:\n - 1024 x 1024\n - 1152 x 896\n - 896 x 1152\n - 1216 x 832\n - 832 x 1216\n - 1344 x 768\n - 768 x 1344\n - 1536 x 640\n - 640 x 1536"
706
- ],
707
- "color": "#323",
708
- "bgcolor": "#535"
709
- },
710
- {
711
- "id": 40,
712
- "type": "Note",
713
- "pos": [
714
- 662,
715
- 1350
716
- ],
717
- "size": {
718
- "0": 451.5049743652344,
719
- "1": 424.4164123535156
720
- },
721
- "flags": {},
722
- "order": 12,
723
- "mode": 0,
724
- "title": "Note - KSampler ADVANCED General Information",
725
- "properties": {
726
- "text": ""
727
- },
728
- "widgets_values": [
729
- "Here are the settings that SHOULD stay in place if you want this workflow to work correctly:\n - add_noise: enable = This adds random noise into the picture so the model can denoise it\n\n - return_with_leftover_noise: enable = This sends the latent image data and all it's leftover noise to the next KSampler node.\n\nThe settings to pay attention to:\n - control_after_generate = generates a new random seed after each workflow job completed.\n - steps = This is the amount of iterations you would like to run the positive and negative CLIP prompts through. Each Step will add (positive) or remove (negative) pixels based on what stable diffusion \"thinks\" should be there according to the model's training\n - cfg = This is how much you want SDXL to adhere to the prompt. Lower CFG gives you more creative but often blurrier results. Higher CFG (recommended max 10) gives you stricter results according to the CLIP prompt. If the CFG value is too high, it can also result in \"burn-in\" where the edges of the picture become even stronger, often highlighting details in unnatural ways.\n - sampler_name = This is the sampler type, and unfortunately different samplers and schedulers have better results with fewer steps, while others have better success with higher steps. This will require experimentation on your part!\n - scheduler = The algorithm/method used to choose the timesteps to denoise the picture.\n - start_at_step = This is the step number the KSampler will start out it's process of de-noising the picture or \"removing the random noise to reveal the picture within\". The first KSampler usually starts with Step 0. Starting at step 0 is the same as setting denoise to 1.0 in the regular Sampler node.\n - end_at_step = This is the step number the KSampler will stop it's process of de-noising the picture. If there is any remaining leftover noise and return_with_leftover_noise is enabled, then it will pass on the left over noise to the next KSampler (assuming there is another one)."
730
- ],
731
- "color": "#223",
732
- "bgcolor": "#335"
733
- },
734
- {
735
- "id": 48,
736
- "type": "Note",
737
- "pos": [
738
- 662,
739
- 1198
740
- ],
741
- "size": {
742
- "0": 213.90769958496094,
743
- "1": 110.17156982421875
744
- },
745
- "flags": {},
746
- "order": 13,
747
- "mode": 0,
748
- "title": "Note - Step Control",
749
- "properties": {
750
- "text": ""
751
- },
752
- "widgets_values": [
753
- "These can be used to control the total sampling steps and the step at which the sampling switches to the refiner."
754
- ],
755
- "color": "#432",
756
- "bgcolor": "#653"
757
- },
758
- {
759
- "id": 41,
760
- "type": "Note",
761
- "pos": [
762
- 662,
763
- 1028
764
- ],
765
- "size": {
766
- "0": 320,
767
- "1": 120
768
- },
769
- "flags": {},
770
- "order": 14,
771
- "mode": 0,
772
- "title": "Note - VAE Decoder",
773
- "properties": {
774
- "text": ""
775
- },
776
- "widgets_values": [
777
- "This node will take the latent data from the KSampler and, using the VAE, it will decode it into visible data\n\nVAE = Latent --> Visible\n\nThis can then be sent to the Save Image node to be saved as a PNG."
778
- ],
779
- "color": "#332922",
780
- "bgcolor": "#593930"
781
- },
782
- {
783
- "id": 47,
784
- "type": "PrimitiveNode",
785
- "pos": [
786
- 1053,
787
- 191
788
- ],
789
- "size": {
790
- "0": 210,
791
- "1": 82
792
- },
793
- "flags": {
794
- "pinned": false,
795
- "collapsed": false
796
- },
797
- "order": 15,
798
- "mode": 0,
799
- "outputs": [
800
- {
801
- "name": "INT",
802
- "type": "INT",
803
- "links": [
804
- 43,
805
- 44
806
- ],
807
- "widget": {
808
- "name": "end_at_step",
809
- "config": [
810
- "INT",
811
- {
812
- "default": 10000,
813
- "min": 0,
814
- "max": 10000
815
- }
816
- ]
817
- },
818
- "slot_index": 0
819
- }
820
- ],
821
- "title": "end_at_step",
822
- "properties": {},
823
- "widgets_values": [
824
- 20,
825
- "fixed"
826
- ],
827
- "color": "#432",
828
- "bgcolor": "#653"
829
- },
830
- {
831
- "id": 45,
832
- "type": "PrimitiveNode",
833
- "pos": [
834
- 816,
835
- 191
836
- ],
837
- "size": {
838
- "0": 210,
839
- "1": 82
840
- },
841
- "flags": {
842
- "pinned": false
843
- },
844
- "order": 16,
845
- "mode": 0,
846
- "outputs": [
847
- {
848
- "name": "INT",
849
- "type": "INT",
850
- "links": [
851
- 38,
852
- 41
853
- ],
854
- "widget": {
855
- "name": "steps",
856
- "config": [
857
- "INT",
858
- {
859
- "default": 20,
860
- "min": 1,
861
- "max": 10000
862
- }
863
- ]
864
- }
865
- }
866
- ],
867
- "title": "steps",
868
- "properties": {},
869
- "widgets_values": [
870
- 25,
871
- "fixed"
872
- ],
873
- "color": "#432",
874
- "bgcolor": "#653"
875
- },
876
- {
877
- "id": 15,
878
- "type": "CLIPTextEncode",
879
- "pos": [
880
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881
- 185
882
- ],
883
- "size": {
884
- "0": 239.02825927734375,
885
- "1": 54
886
- },
887
- "flags": {
888
- "collapsed": false,
889
- "pinned": false
890
- },
891
- "order": 23,
892
- "mode": 0,
893
- "inputs": [
894
- {
895
- "name": "clip",
896
- "type": "CLIP",
897
- "link": 19
898
- },
899
- {
900
- "name": "text",
901
- "type": "STRING",
902
- "link": 73,
903
- "widget": {
904
- "name": "text",
905
- "config": [
906
- "STRING",
907
- {
908
- "multiline": true
909
- }
910
- ]
911
- }
912
- }
913
- ],
914
- "outputs": [
915
- {
916
- "name": "CONDITIONING",
917
- "type": "CONDITIONING",
918
- "links": [
919
- 23
920
- ],
921
- "slot_index": 0
922
- }
923
- ],
924
- "properties": {
925
- "Node name for S&R": "CLIPTextEncode"
926
- },
927
- "widgets_values": [
928
- ""
929
- ],
930
- "color": "#232",
931
- "bgcolor": "#353"
932
- },
933
- {
934
- "id": 6,
935
- "type": "CLIPTextEncode",
936
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937
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938
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939
- ],
940
- "size": {
941
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943
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945
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946
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947
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948
- "order": 22,
949
- "mode": 0,
950
- "inputs": [
951
- {
952
- "name": "clip",
953
- "type": "CLIP",
954
- "link": 59
955
- },
956
- {
957
- "name": "text",
958
- "type": "STRING",
959
- "link": 72,
960
- "widget": {
961
- "name": "text",
962
- "config": [
963
- "STRING",
964
- {
965
- "multiline": true
966
- }
967
- ]
968
- }
969
- }
970
- ],
971
- "outputs": [
972
- {
973
- "name": "CONDITIONING",
974
- "type": "CONDITIONING",
975
- "links": [
976
- 11
977
- ],
978
- "slot_index": 0
979
- }
980
- ],
981
- "properties": {
982
- "Node name for S&R": "CLIPTextEncode"
983
- },
984
- "widgets_values": [
985
- ""
986
- ],
987
- "color": "#232",
988
- "bgcolor": "#353"
989
- },
990
- {
991
- "id": 56,
992
- "type": "SDXLPromptStyler",
993
- "pos": [
994
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995
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- ],
997
- "size": {
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1000
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1001
- "flags": {
1002
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1003
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1004
- },
1005
- "order": 19,
1006
- "mode": 0,
1007
- "inputs": [
1008
- {
1009
- "name": "text_positive",
1010
- "type": "STRING",
1011
- "link": 63,
1012
- "widget": {
1013
- "name": "text_positive",
1014
- "config": [
1015
- "STRING",
1016
- {
1017
- "default": "",
1018
- "multiline": true
1019
- }
1020
- ]
1021
- }
1022
- },
1023
- {
1024
- "name": "text_negative",
1025
- "type": "STRING",
1026
- "link": 64,
1027
- "widget": {
1028
- "name": "text_negative",
1029
- "config": [
1030
- "STRING",
1031
- {
1032
- "default": "",
1033
- "multiline": true
1034
- }
1035
- ]
1036
- }
1037
- }
1038
- ],
1039
- "outputs": [
1040
- {
1041
- "name": "positive_prompt_text_g",
1042
- "type": "STRING",
1043
- "links": [
1044
- 65
1045
- ],
1046
- "shape": 3,
1047
- "slot_index": 0
1048
- },
1049
- {
1050
- "name": "negative_prompt_text_g",
1051
- "type": "STRING",
1052
- "links": [
1053
- 66
1054
- ],
1055
- "shape": 3,
1056
- "slot_index": 1
1057
- }
1058
- ],
1059
- "properties": {
1060
- "Node name for S&R": "SDXLPromptStyler"
1061
- },
1062
- "widgets_values": [
1063
- "cybernetic cat wears futuristic armor, in a battlefield",
1064
- "watermark, text, signature, mirror, frame",
1065
- "sai-enhance",
1066
- "Yes"
1067
- ]
1068
- },
1069
- {
1070
- "id": 51,
1071
- "type": "SDXLPromptStyler",
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- "pos": [
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- ],
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- "size": {
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- },
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- "flags": {
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1082
- },
1083
- "order": 20,
1084
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1085
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1086
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1087
- "name": "text_positive",
1088
- "type": "STRING",
1089
- "link": 65,
1090
- "widget": {
1091
- "name": "text_positive",
1092
- "config": [
1093
- "STRING",
1094
- {
1095
- "default": "",
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- "multiline": true
1097
- }
1098
- ]
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- }
1100
- },
1101
- {
1102
- "name": "text_negative",
1103
- "type": "STRING",
1104
- "link": 66,
1105
- "widget": {
1106
- "name": "text_negative",
1107
- "config": [
1108
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1109
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- "default": "",
1111
- "multiline": true
1112
- }
1113
- ]
1114
- }
1115
- }
1116
- ],
1117
- "outputs": [
1118
- {
1119
- "name": "positive_prompt_text_g",
1120
- "type": "STRING",
1121
- "links": [
1122
- 51
1123
- ],
1124
- "shape": 3,
1125
- "slot_index": 0
1126
- },
1127
- {
1128
- "name": "negative_prompt_text_g",
1129
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1130
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1133
- "shape": 3,
1134
- "slot_index": 1
1135
- }
1136
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1137
- "properties": {
1138
- "Node name for S&R": "SDXLPromptStyler"
1139
- },
1140
- "widgets_values": [
1141
- "",
1142
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1143
- "sai-photographic",
1144
- "Yes"
1145
- ]
1146
- },
1147
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1148
- "id": 54,
1149
- "type": "LoraLoader",
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1152
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1154
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1160
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1162
- "mode": 0,
1163
- "inputs": [
1164
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1165
- "name": "model",
1166
- "type": "MODEL",
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1168
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1169
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1170
- "name": "clip",
1171
- "type": "CLIP",
1172
- "link": 58
1173
- }
1174
- ],
1175
- "outputs": [
1176
- {
1177
- "name": "MODEL",
1178
- "type": "MODEL",
1179
- "links": [
1180
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1181
- ],
1182
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1183
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1184
- },
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1186
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1187
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- 59,
1190
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1191
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1192
- "shape": 3,
1193
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- "Here are the settings that SHOULD stay in place if you want this workflow to work correctly:\n - add_noise: enable = This adds random noise into the picture so the model can denoise it\n\n - return_with_leftover_noise: enable = This sends the latent image data and all it's leftover noise to the next KSampler node.\n\nThe settings to pay attention to:\n - control_after_generate = generates a new random seed after each workflow job completed.\n - steps = This is the amount of iterations you would like to run the positive and negative CLIP prompts through. Each Step will add (positive) or remove (negative) pixels based on what stable diffusion \"thinks\" should be there according to the model's training\n - cfg = This is how much you want SDXL to adhere to the prompt. Lower CFG gives you more creative but often blurrier results. Higher CFG (recommended max 10) gives you stricter results according to the CLIP prompt. If the CFG value is too high, it can also result in \"burn-in\" where the edges of the picture become even stronger, often highlighting details in unnatural ways.\n - sampler_name = This is the sampler type, and unfortunately different samplers and schedulers have better results with fewer steps, while others have better success with higher steps. This will require experimentation on your part!\n - scheduler = The algorithm/method used to choose the timesteps to denoise the picture.\n - start_at_step = This is the step number the KSampler will start out it's process of de-noising the picture or \"removing the random noise to reveal the picture within\". The first KSampler usually starts with Step 0. Starting at step 0 is the same as setting denoise to 1.0 in the regular Sampler node.\n - end_at_step = This is the step number the KSampler will stop it's process of de-noising the picture. If there is any remaining leftover noise and return_with_leftover_noise is enabled, then it will pass on the left over noise to the next KSampler (assuming there is another one)."
25
- ],
26
- "color": "#223",
27
- "bgcolor": "#335"
28
- },
29
- {
30
- "id": 43,
31
- "type": "Note",
32
- "pos": [
33
- 495,
34
- 1409
35
- ],
36
- "size": {
37
- "0": 240,
38
- "1": 80
39
- },
40
- "flags": {},
41
- "order": 1,
42
- "mode": 0,
43
- "title": "Note - CLIP Encode (REFINER)",
44
- "properties": {
45
- "text": ""
46
- },
47
- "widgets_values": [
48
- "These nodes receive the text from the prompt and use the optimal CLIP settings for the specified checkpoint model (in this case: SDXL Refiner)"
49
- ],
50
- "color": "#323",
51
- "bgcolor": "#535"
52
- },
53
- {
54
- "id": 36,
55
- "type": "Note",
56
- "pos": [
57
- 165,
58
- 1295
59
- ],
60
- "size": {
61
- "0": 315.70074462890625,
62
- "1": 147.9551239013672
63
- },
64
- "flags": {},
65
- "order": 2,
66
- "mode": 0,
67
- "title": "Note - Load Checkpoint BASE",
68
- "properties": {
69
- "text": ""
70
- },
71
- "widgets_values": [
72
- "This is a checkpoint model loader. \n - This is set up automatically with the optimal settings for whatever SD model version you choose to use.\n - In this example, it is for the Base SDXL model\n - This node is also used for SD1.5 and SD2.x models\n \nNOTE: When loading in another person's workflow, be sure to manually choose your own *local* model. This also applies to LoRas and all their deviations"
73
- ],
74
- "color": "#323",
75
- "bgcolor": "#535"
76
- },
77
- {
78
- "id": 38,
79
- "type": "Note",
80
- "pos": [
81
- -135,
82
- 1297
83
- ],
84
- "size": {
85
- "0": 284.3257141113281,
86
- "1": 123.88604736328125
87
- },
88
- "flags": {},
89
- "order": 3,
90
- "mode": 0,
91
- "title": "Note - Text Prompts",
92
- "properties": {
93
- "text": ""
94
- },
95
- "widgets_values": [
96
- "These nodes are where you include the text for:\n - what you want in the picture (Positive Prompt, Green)\n - or what you don't want in the picture (Negative Prompt, Red)\n\nThis node type is called a \"PrimitiveNode\" if you are searching for the node type."
97
- ],
98
- "color": "#323",
99
- "bgcolor": "#535"
100
- },
101
- {
102
- "id": 42,
103
- "type": "Note",
104
- "pos": [
105
- -131,
106
- 1465
107
- ],
108
- "size": {
109
- "0": 260,
110
- "1": 210
111
- },
112
- "flags": {},
113
- "order": 4,
114
- "mode": 0,
115
- "title": "Note - Empty Latent Image",
116
- "properties": {
117
- "text": ""
118
- },
119
- "widgets_values": [
120
- "This node sets the image's resolution in Width and Height.\n\nNOTE: For SDXL, it is recommended to use trained values listed below:\n - 1024 x 1024\n - 1152 x 896\n - 896 x 1152\n - 1216 x 832\n - 832 x 1216\n - 1344 x 768\n - 768 x 1344\n - 1536 x 640\n - 640 x 1536"
121
- ],
122
- "color": "#323",
123
- "bgcolor": "#535"
124
- },
125
- {
126
- "id": 37,
127
- "type": "Note",
128
- "pos": [
129
- 156,
130
- 1483
131
- ],
132
- "size": {
133
- "0": 330,
134
- "1": 140
135
- },
136
- "flags": {},
137
- "order": 5,
138
- "mode": 0,
139
- "title": "Note - Load Checkpoint REFINER",
140
- "properties": {
141
- "text": ""
142
- },
143
- "widgets_values": [
144
- "This is a checkpoint model loader. \n - This is set up automatically with the optimal settings for whatever SD model version you choose to use.\n - In this example, it is for the Refiner SDXL model\n\nNOTE: When loading in another person's workflow, be sure to manually choose your own *local* model. This also applies to LoRas and all their deviations."
145
- ],
146
- "color": "#323",
147
- "bgcolor": "#535"
148
- },
149
- {
150
- "id": 41,
151
- "type": "Note",
152
- "pos": [
153
- 1442,
154
- 1280
155
- ],
156
- "size": {
157
- "0": 320,
158
- "1": 120
159
- },
160
- "flags": {},
161
- "order": 6,
162
- "mode": 0,
163
- "title": "Note - VAE Decoder",
164
- "properties": {
165
- "text": ""
166
- },
167
- "widgets_values": [
168
- "This node will take the latent data from the KSampler and, using the VAE, it will decode it into visible data\n\nVAE = Latent --> Visible\n\nThis can then be sent to the Save Image node to be saved as a PNG."
169
- ],
170
- "color": "#332922",
171
- "bgcolor": "#593930"
172
- },
173
- {
174
- "id": 4,
175
- "type": "CheckpointLoaderSimple",
176
- "pos": [
177
- 22.061434312988258,
178
- 342.1210472519528
179
- ],
180
- "size": {
181
- "0": 350,
182
- "1": 100
183
- },
184
- "flags": {},
185
- "order": 7,
186
- "mode": 0,
187
- "outputs": [
188
- {
189
- "name": "MODEL",
190
- "type": "MODEL",
191
- "links": [
192
- 10
193
- ],
194
- "slot_index": 0
195
- },
196
- {
197
- "name": "CLIP",
198
- "type": "CLIP",
199
- "links": [
200
- 3,
201
- 5
202
- ],
203
- "slot_index": 1
204
- },
205
- {
206
- "name": "VAE",
207
- "type": "VAE",
208
- "links": [],
209
- "slot_index": 2
210
- }
211
- ],
212
- "title": "Load Checkpoint - BASE",
213
- "properties": {
214
- "Node name for S&R": "CheckpointLoaderSimple"
215
- },
216
- "widgets_values": [
217
- "sd_xl_base_1.0.safetensors"
218
- ],
219
- "color": "#323",
220
- "bgcolor": "#535"
221
- },
222
- {
223
- "id": 17,
224
- "type": "VAEDecode",
225
- "pos": [
226
- 1059.2629181469717,
227
- 193.95553504150257
228
- ],
229
- "size": {
230
- "0": 200,
231
- "1": 50
232
- },
233
- "flags": {},
234
- "order": 22,
235
- "mode": 0,
236
- "inputs": [
237
- {
238
- "name": "samples",
239
- "type": "LATENT",
240
- "link": 25
241
- },
242
- {
243
- "name": "vae",
244
- "type": "VAE",
245
- "link": 46
246
- }
247
- ],
248
- "outputs": [
249
- {
250
- "name": "IMAGE",
251
- "type": "IMAGE",
252
- "links": [
253
- 28
254
- ],
255
- "shape": 3,
256
- "slot_index": 0
257
- }
258
- ],
259
- "properties": {
260
- "Node name for S&R": "VAEDecode"
261
- },
262
- "color": "#332922",
263
- "bgcolor": "#593930"
264
- },
265
- {
266
- "id": 14,
267
- "type": "PrimitiveNode",
268
- "pos": [
269
- 524.5762590326644,
270
- 88.94741499576233
271
- ],
272
- "size": {
273
- "0": 492.8952941894531,
274
- "1": 150.1459503173828
275
- },
276
- "flags": {},
277
- "order": 8,
278
- "mode": 0,
279
- "outputs": [
280
- {
281
- "name": "STRING",
282
- "type": "STRING",
283
- "links": [
284
- 18,
285
- 22
286
- ],
287
- "widget": {
288
- "name": "text",
289
- "config": [
290
- "STRING",
291
- {
292
- "multiline": true
293
- }
294
- ]
295
- },
296
- "slot_index": 0
297
- }
298
- ],
299
- "title": "Negative Prompt (Text)",
300
- "properties": {},
301
- "widgets_values": [
302
- "deformed iris, deformed pupils, (semi-realistic, cgi, 2.5d, 3d, sketch, cartoon, drawing, anime:1.2), frame, mirror, polaroid, dark environment"
303
- ],
304
- "color": "#322",
305
- "bgcolor": "#533"
306
- },
307
- {
308
- "id": 6,
309
- "type": "CLIPTextEncode",
310
- "pos": [
311
- 416,
312
- 340
313
- ],
314
- "size": {
315
- "0": 210,
316
- "1": 54
317
- },
318
- "flags": {},
319
- "order": 18,
320
- "mode": 0,
321
- "inputs": [
322
- {
323
- "name": "clip",
324
- "type": "CLIP",
325
- "link": 3
326
- },
327
- {
328
- "name": "text",
329
- "type": "STRING",
330
- "link": 16,
331
- "widget": {
332
- "name": "text",
333
- "config": [
334
- "STRING",
335
- {
336
- "multiline": true
337
- }
338
- ]
339
- },
340
- "slot_index": 1
341
- }
342
- ],
343
- "outputs": [
344
- {
345
- "name": "CONDITIONING",
346
- "type": "CONDITIONING",
347
- "links": [
348
- 11
349
- ],
350
- "slot_index": 0
351
- }
352
- ],
353
- "properties": {
354
- "Node name for S&R": "CLIPTextEncode"
355
- },
356
- "widgets_values": [
357
- "realistic, photograph of samurai cat wears battle armor, background is sakura garden"
358
- ],
359
- "color": "#232",
360
- "bgcolor": "#353"
361
- },
362
- {
363
- "id": 7,
364
- "type": "CLIPTextEncode",
365
- "pos": [
366
- 417,
367
- 434
368
- ],
369
- "size": {
370
- "0": 210,
371
- "1": 54
372
- },
373
- "flags": {},
374
- "order": 16,
375
- "mode": 0,
376
- "inputs": [
377
- {
378
- "name": "clip",
379
- "type": "CLIP",
380
- "link": 5
381
- },
382
- {
383
- "name": "text",
384
- "type": "STRING",
385
- "link": 18,
386
- "widget": {
387
- "name": "text",
388
- "config": [
389
- "STRING",
390
- {
391
- "multiline": true
392
- }
393
- ]
394
- },
395
- "slot_index": 1
396
- }
397
- ],
398
- "outputs": [
399
- {
400
- "name": "CONDITIONING",
401
- "type": "CONDITIONING",
402
- "links": [
403
- 12
404
- ],
405
- "slot_index": 0
406
- }
407
- ],
408
- "properties": {
409
- "Node name for S&R": "CLIPTextEncode"
410
- },
411
- "widgets_values": [
412
- "text, watermark, anime, cartoon, 2d, 2.5d, 3d"
413
- ],
414
- "color": "#322",
415
- "bgcolor": "#533"
416
- },
417
- {
418
- "id": 15,
419
- "type": "CLIPTextEncode",
420
- "pos": [
421
- 413,
422
- 583
423
- ],
424
- "size": {
425
- "0": 210,
426
- "1": 54
427
- },
428
- "flags": {},
429
- "order": 19,
430
- "mode": 0,
431
- "inputs": [
432
- {
433
- "name": "clip",
434
- "type": "CLIP",
435
- "link": 19
436
- },
437
- {
438
- "name": "text",
439
- "type": "STRING",
440
- "link": 21,
441
- "widget": {
442
- "name": "text",
443
- "config": [
444
- "STRING",
445
- {
446
- "multiline": true
447
- }
448
- ]
449
- },
450
- "slot_index": 1
451
- }
452
- ],
453
- "outputs": [
454
- {
455
- "name": "CONDITIONING",
456
- "type": "CONDITIONING",
457
- "links": [
458
- 23
459
- ],
460
- "slot_index": 0
461
- }
462
- ],
463
- "properties": {
464
- "Node name for S&R": "CLIPTextEncode"
465
- },
466
- "widgets_values": [
467
- "realistic, photograph of samurai cat wears battle armor, background is sakura garden"
468
- ],
469
- "color": "#232",
470
- "bgcolor": "#353"
471
- },
472
- {
473
- "id": 16,
474
- "type": "CLIPTextEncode",
475
- "pos": [
476
- 413,
477
- 676
478
- ],
479
- "size": {
480
- "0": 210,
481
- "1": 54
482
- },
483
- "flags": {},
484
- "order": 17,
485
- "mode": 0,
486
- "inputs": [
487
- {
488
- "name": "clip",
489
- "type": "CLIP",
490
- "link": 20
491
- },
492
- {
493
- "name": "text",
494
- "type": "STRING",
495
- "link": 22,
496
- "widget": {
497
- "name": "text",
498
- "config": [
499
- "STRING",
500
- {
501
- "multiline": true
502
- }
503
- ]
504
- },
505
- "slot_index": 1
506
- }
507
- ],
508
- "outputs": [
509
- {
510
- "name": "CONDITIONING",
511
- "type": "CONDITIONING",
512
- "links": [
513
- 24
514
- ],
515
- "slot_index": 0
516
- }
517
- ],
518
- "properties": {
519
- "Node name for S&R": "CLIPTextEncode"
520
- },
521
- "widgets_values": [
522
- "text, watermark, anime, cartoon, 2d, 2.5d, 3d"
523
- ],
524
- "color": "#322",
525
- "bgcolor": "#533"
526
- },
527
- {
528
- "id": 45,
529
- "type": "PrimitiveNode",
530
- "pos": [
531
- 271.55371497288235,
532
- 815.7191843080128
533
- ],
534
- "size": {
535
- "0": 210,
536
- "1": 82
537
- },
538
- "flags": {},
539
- "order": 9,
540
- "mode": 0,
541
- "outputs": [
542
- {
543
- "name": "INT",
544
- "type": "INT",
545
- "links": [
546
- 38,
547
- 41
548
- ],
549
- "widget": {
550
- "name": "steps",
551
- "config": [
552
- "INT",
553
- {
554
- "default": 20,
555
- "min": 1,
556
- "max": 10000
557
- }
558
- ]
559
- }
560
- }
561
- ],
562
- "title": "steps",
563
- "properties": {},
564
- "widgets_values": [
565
- 25,
566
- "fixed"
567
- ],
568
- "color": "#432",
569
- "bgcolor": "#653"
570
- },
571
- {
572
- "id": 39,
573
- "type": "Note",
574
- "pos": [
575
- 496,
576
- 1288
577
- ],
578
- "size": {
579
- "0": 238.26402282714844,
580
- "1": 80.99152374267578
581
- },
582
- "flags": {},
583
- "order": 10,
584
- "mode": 0,
585
- "title": "Note - CLIP Encode (BASE)",
586
- "properties": {
587
- "text": ""
588
- },
589
- "widgets_values": [
590
- "These nodes receive the text from the prompt and use the optimal CLIP settings for the specified checkpoint model (in this case: SDXL Base)"
591
- ],
592
- "color": "#323",
593
- "bgcolor": "#535"
594
- },
595
- {
596
- "id": 48,
597
- "type": "Note",
598
- "pos": [
599
- 1215,
600
- 1282
601
- ],
602
- "size": {
603
- "0": 213.90769958496094,
604
- "1": 110.17156982421875
605
- },
606
- "flags": {},
607
- "order": 11,
608
- "mode": 0,
609
- "title": "Note - Step Control",
610
- "properties": {
611
- "text": ""
612
- },
613
- "widgets_values": [
614
- "These can be used to control the total sampling steps and the step at which the sampling switches to the refiner."
615
- ],
616
- "color": "#432",
617
- "bgcolor": "#653"
618
- },
619
- {
620
- "id": 47,
621
- "type": "PrimitiveNode",
622
- "pos": [
623
- 490,
624
- 815
625
- ],
626
- "size": {
627
- "0": 210,
628
- "1": 82
629
- },
630
- "flags": {},
631
- "order": 12,
632
- "mode": 0,
633
- "outputs": [
634
- {
635
- "name": "INT",
636
- "type": "INT",
637
- "links": [
638
- 43,
639
- 44
640
- ],
641
- "widget": {
642
- "name": "end_at_step",
643
- "config": [
644
- "INT",
645
- {
646
- "default": 10000,
647
- "min": 0,
648
- "max": 10000
649
- }
650
- ]
651
- },
652
- "slot_index": 0
653
- }
654
- ],
655
- "title": "end_at_step",
656
- "properties": {},
657
- "widgets_values": [
658
- 20,
659
- "fixed"
660
- ],
661
- "color": "#432",
662
- "bgcolor": "#653"
663
- },
664
- {
665
- "id": 12,
666
- "type": "CheckpointLoaderSimple",
667
- "pos": [
668
- 23.306195155884314,
669
- 538.5501664140626
670
- ],
671
- "size": {
672
- "0": 350,
673
- "1": 100
674
- },
675
- "flags": {},
676
- "order": 13,
677
- "mode": 0,
678
- "outputs": [
679
- {
680
- "name": "MODEL",
681
- "type": "MODEL",
682
- "links": [
683
- 14
684
- ],
685
- "shape": 3,
686
- "slot_index": 0
687
- },
688
- {
689
- "name": "CLIP",
690
- "type": "CLIP",
691
- "links": [
692
- 19,
693
- 20
694
- ],
695
- "shape": 3,
696
- "slot_index": 1
697
- },
698
- {
699
- "name": "VAE",
700
- "type": "VAE",
701
- "links": [
702
- 46
703
- ],
704
- "shape": 3,
705
- "slot_index": 2
706
- }
707
- ],
708
- "title": "Load Checkpoint - REFINER",
709
- "properties": {
710
- "Node name for S&R": "CheckpointLoaderSimple"
711
- },
712
- "widgets_values": [
713
- "sd_xl_refiner_1.0.safetensors"
714
- ],
715
- "color": "#323",
716
- "bgcolor": "#535"
717
- },
718
- {
719
- "id": 19,
720
- "type": "SaveImage",
721
- "pos": [
722
- 1293,
723
- 60
724
- ],
725
- "size": {
726
- "0": 620.4963989257812,
727
- "1": 829.7885131835938
728
- },
729
- "flags": {},
730
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-
4
- ## SDXL Base+Refiner Workflow with Model Upscaler on Both: [SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-KsamplerUpscaleBaseRefiner-workflow-template.png](https://huggingface.co/datasets/marhensa/comfyui-workflow/resolve/main/SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-KsamplerUpscaleBaseRefiner-workflow-template.png)
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- ![_preview_SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-KsamplerUpscaleBaseRefiner-workflow-template.jpg](https://huggingface.co/datasets/marhensa/comfyui-workflow/resolve/main/_preview_SDXL_tidy-SAIstyle-LoRA-VAE-RecRes-KsamplerUpscaleBaseRefiner-workflow-template.jpg)
 
 
 
 
 
 
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