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Drag and Drop Template.JSON / Template.PNG into ComfyUI browser interface to load the template!

Notes:

For SDXL_tidy-workflow-template.json (THE SIMPLE ONE, modified from ComfyUI official repo), you could use it as is, it only need Base and Refiner models of SDXL.

For SDXL_tidy-SAIstyle-LoRA-VAE-workflow-template_rev3.json, it requires custom node and file requirements:
1. "SDXL Prompt Sytler" dropdown menu (install sdxl prompt styler first, by open command prompt from this folder \ComfyUI\custom_nodes\ then use this command "git clone https://github.com/twri/sdxl_prompt_styler.git")
2. LoRA selector, (needs a SDXL LoRA file, for example, download SDXL LoRA example from [StabilityAI](https://huggingface.co./stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors), put into ComfyUI\models\lora\)
3. VAE selector, (needs a VAE file, download default VAE from [StabilityAI](https://huggingface.co./stabilityai/sdxl-vae/resolve/main/sdxl_vae.safetensors), put into \ComfyUI\models\vae\), just in case in the future there's better VAE or mandatory VAE for some models, use this selector
4. Restart ComfyUI

For SDXL_tidy-SAIstyle-LoRA-VAE-workflow-template_rev3.json, prompt is now minimalistic (both positive and negative), because art style and other enhancement is selected via SDXL Prompt Styler dropdown menu.

So you could create so many style easily, without need to remembering custom prompt for specific art style. There's 3 style you could combine.

I usualy put the top one for "sai-enhance" as a replacement for "masterpiece, highest quality, etc", second one is the main style, third one is another, or leaving it as blank one "sai-base".

SDXL_tidy-workflow-template.json
![SDXL_tidy-workflow-preview.png](https://cdn-uploads.huggingface.co/production/uploads/64c65341e77ea9f28151a4e6/2kGzbsFajZtrAsrOB53l5.png)

SDXL_tidy-SAIstyle-LoRA-VAE-workflow-template_rev3.json
![SDXL_tidy-SAIstyle-LoRA-VAE-workflow-preview_rev3.png](https://cdn-uploads.huggingface.co/production/uploads/64c65341e77ea9f28151a4e6/-yAcsAxrG-Ef21b_E2Z_C.png)

SDXL_tidy-SAIstyle-LoRA-VAE-workflow-template_rev3.json ADDED
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533
+ "Yes"
534
+ ]
535
+ },
536
+ {
537
+ "id": 51,
538
+ "type": "SDXLPromptStyler",
539
+ "pos": [
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+ 2.440001220703125,
541
+ 661.1001708984373
542
+ ],
543
+ "size": {
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+ "0": 313.19488525390625,
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+ "1": 102
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+ },
547
+ "flags": {
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+ "pinned": false
549
+ },
550
+ "order": 19,
551
+ "mode": 0,
552
+ "inputs": [
553
+ {
554
+ "name": "text_positive",
555
+ "type": "STRING",
556
+ "link": 65,
557
+ "widget": {
558
+ "name": "text_positive",
559
+ "config": [
560
+ "STRING",
561
+ {
562
+ "default": "",
563
+ "multiline": true
564
+ }
565
+ ]
566
+ }
567
+ },
568
+ {
569
+ "name": "text_negative",
570
+ "type": "STRING",
571
+ "link": 66,
572
+ "widget": {
573
+ "name": "text_negative",
574
+ "config": [
575
+ "STRING",
576
+ {
577
+ "default": "",
578
+ "multiline": true
579
+ }
580
+ ]
581
+ }
582
+ }
583
+ ],
584
+ "outputs": [
585
+ {
586
+ "name": "positive_prompt_text_g",
587
+ "type": "STRING",
588
+ "links": [
589
+ 51
590
+ ],
591
+ "shape": 3,
592
+ "slot_index": 0
593
+ },
594
+ {
595
+ "name": "negative_prompt_text_g",
596
+ "type": "STRING",
597
+ "links": [
598
+ 52
599
+ ],
600
+ "shape": 3,
601
+ "slot_index": 1
602
+ }
603
+ ],
604
+ "properties": {
605
+ "Node name for S&R": "SDXLPromptStyler"
606
+ },
607
+ "widgets_values": [
608
+ "",
609
+ "",
610
+ "sai-photographic",
611
+ "Yes"
612
+ ]
613
+ },
614
+ {
615
+ "id": 5,
616
+ "type": "EmptyLatentImage",
617
+ "pos": [
618
+ 2,
619
+ 357
620
+ ],
621
+ "size": {
622
+ "0": 315.146484375,
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+ "1": 106
624
+ },
625
+ "flags": {
626
+ "pinned": true
627
+ },
628
+ "order": 3,
629
+ "mode": 0,
630
+ "outputs": [
631
+ {
632
+ "name": "LATENT",
633
+ "type": "LATENT",
634
+ "links": [
635
+ 27
636
+ ],
637
+ "slot_index": 0
638
+ }
639
+ ],
640
+ "properties": {
641
+ "Node name for S&R": "EmptyLatentImage"
642
+ },
643
+ "widgets_values": [
644
+ 1080,
645
+ 1344,
646
+ 1
647
+ ],
648
+ "color": "#222",
649
+ "bgcolor": "#000"
650
+ },
651
+ {
652
+ "id": 13,
653
+ "type": "PrimitiveNode",
654
+ "pos": [
655
+ 325,
656
+ 499
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+ ],
658
+ "size": {
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+ "0": 348.41961669921875,
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+ "1": 250.73471069335938
661
+ },
662
+ "flags": {
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+ "pinned": true
664
+ },
665
+ "order": 4,
666
+ "mode": 0,
667
+ "outputs": [
668
+ {
669
+ "name": "STRING",
670
+ "type": "STRING",
671
+ "links": [
672
+ 63
673
+ ],
674
+ "widget": {
675
+ "name": "text_positive",
676
+ "config": [
677
+ "STRING",
678
+ {
679
+ "default": "",
680
+ "multiline": true
681
+ }
682
+ ]
683
+ },
684
+ "slot_index": 0
685
+ }
686
+ ],
687
+ "title": "Positive Prompt (Text)",
688
+ "properties": {},
689
+ "widgets_values": [
690
+ "cybernetic cat wears futuristic armor, in a battlefield"
691
+ ],
692
+ "color": "#232",
693
+ "bgcolor": "#353"
694
+ },
695
+ {
696
+ "id": 14,
697
+ "type": "PrimitiveNode",
698
+ "pos": [
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+ 325,
700
+ 780
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+ ],
702
+ "size": {
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+ "0": 348.3596496582031,
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+ "1": 132.2855987548828
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+ },
706
+ "flags": {
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+ "pinned": true
708
+ },
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+ "order": 5,
710
+ "mode": 0,
711
+ "outputs": [
712
+ {
713
+ "name": "STRING",
714
+ "type": "STRING",
715
+ "links": [
716
+ 64
717
+ ],
718
+ "widget": {
719
+ "name": "text_negative",
720
+ "config": [
721
+ "STRING",
722
+ {
723
+ "default": "",
724
+ "multiline": true
725
+ }
726
+ ]
727
+ },
728
+ "slot_index": 0
729
+ }
730
+ ],
731
+ "title": "Negative Prompt (Text)",
732
+ "properties": {},
733
+ "widgets_values": [
734
+ "dark environment"
735
+ ],
736
+ "color": "#322",
737
+ "bgcolor": "#533"
738
+ },
739
+ {
740
+ "id": 11,
741
+ "type": "KSamplerAdvanced",
742
+ "pos": [
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+ 987,
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+ 340
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+ ],
746
+ "size": {
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+ "0": 300.2822570800781,
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+ "1": 572.7096557617188
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+ },
750
+ "flags": {
751
+ "pinned": false
752
+ },
753
+ "order": 26,
754
+ "mode": 0,
755
+ "inputs": [
756
+ {
757
+ "name": "model",
758
+ "type": "MODEL",
759
+ "link": 14,
760
+ "slot_index": 0
761
+ },
762
+ {
763
+ "name": "positive",
764
+ "type": "CONDITIONING",
765
+ "link": 23
766
+ },
767
+ {
768
+ "name": "negative",
769
+ "type": "CONDITIONING",
770
+ "link": 24
771
+ },
772
+ {
773
+ "name": "latent_image",
774
+ "type": "LATENT",
775
+ "link": 13
776
+ },
777
+ {
778
+ "name": "steps",
779
+ "type": "INT",
780
+ "link": 38,
781
+ "widget": {
782
+ "name": "steps",
783
+ "config": [
784
+ "INT",
785
+ {
786
+ "default": 20,
787
+ "min": 1,
788
+ "max": 10000
789
+ }
790
+ ]
791
+ },
792
+ "slot_index": 4
793
+ },
794
+ {
795
+ "name": "start_at_step",
796
+ "type": "INT",
797
+ "link": 44,
798
+ "widget": {
799
+ "name": "start_at_step",
800
+ "config": [
801
+ "INT",
802
+ {
803
+ "default": 0,
804
+ "min": 0,
805
+ "max": 10000
806
+ }
807
+ ]
808
+ }
809
+ }
810
+ ],
811
+ "outputs": [
812
+ {
813
+ "name": "LATENT",
814
+ "type": "LATENT",
815
+ "links": [
816
+ 67
817
+ ],
818
+ "shape": 3,
819
+ "slot_index": 0
820
+ }
821
+ ],
822
+ "title": "KSampler (Advanced) - REFINER",
823
+ "properties": {
824
+ "Node name for S&R": "KSamplerAdvanced"
825
+ },
826
+ "widgets_values": [
827
+ "disable",
828
+ 0,
829
+ "fixed",
830
+ 25,
831
+ 8,
832
+ "euler",
833
+ "normal",
834
+ 20,
835
+ 10000,
836
+ "disable"
837
+ ],
838
+ "color": "#223",
839
+ "bgcolor": "#335"
840
+ },
841
+ {
842
+ "id": 38,
843
+ "type": "Note",
844
+ "pos": [
845
+ 345,
846
+ 1287
847
+ ],
848
+ "size": {
849
+ "0": 284.3257141113281,
850
+ "1": 123.88604736328125
851
+ },
852
+ "flags": {},
853
+ "order": 6,
854
+ "mode": 0,
855
+ "title": "Note - Text Prompts",
856
+ "properties": {
857
+ "text": ""
858
+ },
859
+ "widgets_values": [
860
+ "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."
861
+ ],
862
+ "color": "#323",
863
+ "bgcolor": "#535"
864
+ },
865
+ {
866
+ "id": 43,
867
+ "type": "Note",
868
+ "pos": [
869
+ 348,
870
+ 1159
871
+ ],
872
+ "size": {
873
+ "0": 240,
874
+ "1": 80
875
+ },
876
+ "flags": {},
877
+ "order": 7,
878
+ "mode": 0,
879
+ "title": "Note - CLIP Encode (REFINER)",
880
+ "properties": {
881
+ "text": ""
882
+ },
883
+ "widgets_values": [
884
+ "These nodes receive the text from the prompt and use the optimal CLIP settings for the specified checkpoint model (in this case: SDXL Refiner)"
885
+ ],
886
+ "color": "#323",
887
+ "bgcolor": "#535"
888
+ },
889
+ {
890
+ "id": 39,
891
+ "type": "Note",
892
+ "pos": [
893
+ 352,
894
+ 1027
895
+ ],
896
+ "size": {
897
+ "0": 238.26402282714844,
898
+ "1": 80.99152374267578
899
+ },
900
+ "flags": {},
901
+ "order": 8,
902
+ "mode": 0,
903
+ "title": "Note - CLIP Encode (BASE)",
904
+ "properties": {
905
+ "text": ""
906
+ },
907
+ "widgets_values": [
908
+ "These nodes receive the text from the prompt and use the optimal CLIP settings for the specified checkpoint model (in this case: SDXL Base)"
909
+ ],
910
+ "color": "#323",
911
+ "bgcolor": "#535"
912
+ },
913
+ {
914
+ "id": 36,
915
+ "type": "Note",
916
+ "pos": [
917
+ -2,
918
+ 1032
919
+ ],
920
+ "size": {
921
+ "0": 315.70074462890625,
922
+ "1": 147.9551239013672
923
+ },
924
+ "flags": {},
925
+ "order": 9,
926
+ "mode": 0,
927
+ "title": "Note - Load Checkpoint BASE",
928
+ "properties": {
929
+ "text": ""
930
+ },
931
+ "widgets_values": [
932
+ "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"
933
+ ],
934
+ "color": "#323",
935
+ "bgcolor": "#535"
936
+ },
937
+ {
938
+ "id": 37,
939
+ "type": "Note",
940
+ "pos": [
941
+ -4,
942
+ 1222
943
+ ],
944
+ "size": {
945
+ "0": 330,
946
+ "1": 140
947
+ },
948
+ "flags": {},
949
+ "order": 10,
950
+ "mode": 0,
951
+ "title": "Note - Load Checkpoint REFINER",
952
+ "properties": {
953
+ "text": ""
954
+ },
955
+ "widgets_values": [
956
+ "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."
957
+ ],
958
+ "color": "#323",
959
+ "bgcolor": "#535"
960
+ },
961
+ {
962
+ "id": 42,
963
+ "type": "Note",
964
+ "pos": [
965
+ -2,
966
+ 1408
967
+ ],
968
+ "size": {
969
+ "0": 260,
970
+ "1": 210
971
+ },
972
+ "flags": {},
973
+ "order": 11,
974
+ "mode": 0,
975
+ "title": "Note - Empty Latent Image",
976
+ "properties": {
977
+ "text": ""
978
+ },
979
+ "widgets_values": [
980
+ "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"
981
+ ],
982
+ "color": "#323",
983
+ "bgcolor": "#535"
984
+ },
985
+ {
986
+ "id": 40,
987
+ "type": "Note",
988
+ "pos": [
989
+ 662,
990
+ 1350
991
+ ],
992
+ "size": {
993
+ "0": 451.5049743652344,
994
+ "1": 424.4164123535156
995
+ },
996
+ "flags": {},
997
+ "order": 12,
998
+ "mode": 0,
999
+ "title": "Note - KSampler ADVANCED General Information",
1000
+ "properties": {
1001
+ "text": ""
1002
+ },
1003
+ "widgets_values": [
1004
+ "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)."
1005
+ ],
1006
+ "color": "#223",
1007
+ "bgcolor": "#335"
1008
+ },
1009
+ {
1010
+ "id": 48,
1011
+ "type": "Note",
1012
+ "pos": [
1013
+ 662,
1014
+ 1198
1015
+ ],
1016
+ "size": {
1017
+ "0": 213.90769958496094,
1018
+ "1": 110.17156982421875
1019
+ },
1020
+ "flags": {},
1021
+ "order": 13,
1022
+ "mode": 0,
1023
+ "title": "Note - Step Control",
1024
+ "properties": {
1025
+ "text": ""
1026
+ },
1027
+ "widgets_values": [
1028
+ "These can be used to control the total sampling steps and the step at which the sampling switches to the refiner."
1029
+ ],
1030
+ "color": "#432",
1031
+ "bgcolor": "#653"
1032
+ },
1033
+ {
1034
+ "id": 41,
1035
+ "type": "Note",
1036
+ "pos": [
1037
+ 662,
1038
+ 1028
1039
+ ],
1040
+ "size": {
1041
+ "0": 320,
1042
+ "1": 120
1043
+ },
1044
+ "flags": {},
1045
+ "order": 14,
1046
+ "mode": 0,
1047
+ "title": "Note - VAE Decoder",
1048
+ "properties": {
1049
+ "text": ""
1050
+ },
1051
+ "widgets_values": [
1052
+ "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."
1053
+ ],
1054
+ "color": "#332922",
1055
+ "bgcolor": "#593930"
1056
+ },
1057
+ {
1058
+ "id": 45,
1059
+ "type": "PrimitiveNode",
1060
+ "pos": [
1061
+ 815,
1062
+ 191
1063
+ ],
1064
+ "size": {
1065
+ "0": 210,
1066
+ "1": 82
1067
+ },
1068
+ "flags": {
1069
+ "pinned": false
1070
+ },
1071
+ "order": 15,
1072
+ "mode": 0,
1073
+ "outputs": [
1074
+ {
1075
+ "name": "INT",
1076
+ "type": "INT",
1077
+ "links": [
1078
+ 38,
1079
+ 41
1080
+ ],
1081
+ "widget": {
1082
+ "name": "steps",
1083
+ "config": [
1084
+ "INT",
1085
+ {
1086
+ "default": 20,
1087
+ "min": 1,
1088
+ "max": 10000
1089
+ }
1090
+ ]
1091
+ }
1092
+ }
1093
+ ],
1094
+ "title": "steps",
1095
+ "properties": {},
1096
+ "widgets_values": [
1097
+ 25,
1098
+ "fixed"
1099
+ ],
1100
+ "color": "#432",
1101
+ "bgcolor": "#653"
1102
+ },
1103
+ {
1104
+ "id": 47,
1105
+ "type": "PrimitiveNode",
1106
+ "pos": [
1107
+ 1053,
1108
+ 191
1109
+ ],
1110
+ "size": {
1111
+ "0": 210,
1112
+ "1": 82
1113
+ },
1114
+ "flags": {
1115
+ "pinned": false,
1116
+ "collapsed": false
1117
+ },
1118
+ "order": 16,
1119
+ "mode": 0,
1120
+ "outputs": [
1121
+ {
1122
+ "name": "INT",
1123
+ "type": "INT",
1124
+ "links": [
1125
+ 43,
1126
+ 44
1127
+ ],
1128
+ "widget": {
1129
+ "name": "end_at_step",
1130
+ "config": [
1131
+ "INT",
1132
+ {
1133
+ "default": 10000,
1134
+ "min": 0,
1135
+ "max": 10000
1136
+ }
1137
+ ]
1138
+ },
1139
+ "slot_index": 0
1140
+ }
1141
+ ],
1142
+ "title": "end_at_step",
1143
+ "properties": {},
1144
+ "widgets_values": [
1145
+ 20,
1146
+ "fixed"
1147
+ ],
1148
+ "color": "#432",
1149
+ "bgcolor": "#653"
1150
+ },
1151
+ {
1152
+ "id": 52,
1153
+ "type": "SDXLPromptStyler",
1154
+ "pos": [
1155
+ 2.440001220703125,
1156
+ 793.1001708984373
1157
+ ],
1158
+ "size": {
1159
+ "0": 313.29486083984375,
1160
+ "1": 102
1161
+ },
1162
+ "flags": {
1163
+ "collapsed": false,
1164
+ "pinned": false
1165
+ },
1166
+ "order": 20,
1167
+ "mode": 0,
1168
+ "inputs": [
1169
+ {
1170
+ "name": "text_positive",
1171
+ "type": "STRING",
1172
+ "link": 51,
1173
+ "widget": {
1174
+ "name": "text_positive",
1175
+ "config": [
1176
+ "STRING",
1177
+ {
1178
+ "default": "",
1179
+ "multiline": true
1180
+ }
1181
+ ]
1182
+ }
1183
+ },
1184
+ {
1185
+ "name": "text_negative",
1186
+ "type": "STRING",
1187
+ "link": 52,
1188
+ "widget": {
1189
+ "name": "text_negative",
1190
+ "config": [
1191
+ "STRING",
1192
+ {
1193
+ "default": "",
1194
+ "multiline": true
1195
+ }
1196
+ ]
1197
+ }
1198
+ }
1199
+ ],
1200
+ "outputs": [
1201
+ {
1202
+ "name": "positive_prompt_text_g",
1203
+ "type": "STRING",
1204
+ "links": [
1205
+ 53,
1206
+ 55
1207
+ ],
1208
+ "shape": 3,
1209
+ "slot_index": 0
1210
+ },
1211
+ {
1212
+ "name": "negative_prompt_text_g",
1213
+ "type": "STRING",
1214
+ "links": [
1215
+ 54,
1216
+ 56
1217
+ ],
1218
+ "shape": 3,
1219
+ "slot_index": 1
1220
+ }
1221
+ ],
1222
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SDXL_tidy-SAIstyle-LoRA-VAE-workflow-template_rev3.png ADDED

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+ },
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
+ "order": 23,
731
+ "mode": 0,
732
+ "inputs": [
733
+ {
734
+ "name": "images",
735
+ "type": "IMAGE",
736
+ "link": 28
737
+ }
738
+ ],
739
+ "properties": {},
740
+ "widgets_values": [
741
+ "ComfyUI"
742
+ ],
743
+ "color": "#222",
744
+ "bgcolor": "#000"
745
+ },
746
+ {
747
+ "id": 5,
748
+ "type": "EmptyLatentImage",
749
+ "pos": [
750
+ 27,
751
+ 746
752
+ ],
753
+ "size": {
754
+ "0": 218.0976104736328,
755
+ "1": 106
756
+ },
757
+ "flags": {},
758
+ "order": 14,
759
+ "mode": 0,
760
+ "outputs": [
761
+ {
762
+ "name": "LATENT",
763
+ "type": "LATENT",
764
+ "links": [
765
+ 27
766
+ ],
767
+ "slot_index": 0
768
+ }
769
+ ],
770
+ "properties": {
771
+ "Node name for S&R": "EmptyLatentImage"
772
+ },
773
+ "widgets_values": [
774
+ 1080,
775
+ 1344,
776
+ 1
777
+ ],
778
+ "color": "#323",
779
+ "bgcolor": "#535"
780
+ },
781
+ {
782
+ "id": 13,
783
+ "type": "PrimitiveNode",
784
+ "pos": [
785
+ 22.576259032664293,
786
+ 89.94741499576233
787
+ ],
788
+ "size": {
789
+ "0": 489.5143737792969,
790
+ "1": 150.1459503173828
791
+ },
792
+ "flags": {},
793
+ "order": 15,
794
+ "mode": 0,
795
+ "outputs": [
796
+ {
797
+ "name": "STRING",
798
+ "type": "STRING",
799
+ "links": [
800
+ 16,
801
+ 21
802
+ ],
803
+ "widget": {
804
+ "name": "text",
805
+ "config": [
806
+ "STRING",
807
+ {
808
+ "multiline": true
809
+ }
810
+ ]
811
+ },
812
+ "slot_index": 0
813
+ }
814
+ ],
815
+ "title": "Positive Prompt (Text)",
816
+ "properties": {},
817
+ "widgets_values": [
818
+ "(highest quality), masterpiece, intricate, high detail, professional photo, 8k uhd, sharp focus, (realistic photograph:1.2), (half a cat, half a futuristic cyborg white porcelain AI cat, in a vrtual high tech environment:1.2), bright environment"
819
+ ],
820
+ "color": "#232",
821
+ "bgcolor": "#353"
822
+ },
823
+ {
824
+ "id": 10,
825
+ "type": "KSamplerAdvanced",
826
+ "pos": [
827
+ 669,
828
+ 301
829
+ ],
830
+ "size": {
831
+ "0": 302.49639892578125,
832
+ "1": 603.7885131835938
833
+ },
834
+ "flags": {},
835
+ "order": 20,
836
+ "mode": 0,
837
+ "inputs": [
838
+ {
839
+ "name": "model",
840
+ "type": "MODEL",
841
+ "link": 10
842
+ },
843
+ {
844
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