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+ "Prompting: For the linguistic prompt, you should try to explain the image you want in a single sentence with proper grammar. For example:\n\nA photograph of a (subject) in a (location) at (time)\n\nthen you use the second text field to strengthen that prompt with a few carefully selected tags that will help, such as:\n\ncinematic, bokeh, photograph, (features about subject)\n\nFull prompt example:\n\nLinguistic: A cinematic photograph of a pretty woman with blonde hair and blue eyes in a park at sunset\n\nSupporting: clouds, nature, bokeh, f1.8, cinematic lighting, entered composition\n\nPhotographic tips\n\n1. Try and use words or entities that tie into realistic imagery, such as National geographic, Vogue, ethnographic, portrait, and similar words\n\n2. Do not use words like \"realism\" or \"realistic\" when prompting for photographs, as they are associated with art styles that depict \"realistic\" things, and such will weight towards traditional or digital art\n\n3. Feel free to use compositional words, such as \"centered subject\" or \"(object) to the side\", this can help a lot for achieving different and interesting results\n\n4. I recommend not going over 6 on the positive aesthetic score for the refiner when going for realism, I find that the higher you go, the more your images are likely to go into the direction of aesthetic paintings and \n\n"
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+ "Changing the \"start_at_step\" on the Upscale Mixed Diff\" node will effectively change how \"faithful/fixy\" the upscale is. If you raise the number closer to 30, it will resemble the pixel upscale more, but if you lower it down, it will fix more deformities, at the cost of potentially changing the image fundamentals.\n\nI recommend a range of 15-25, with 15 being the most fixing, and 25 being the least fixing.\n\nI strongly recommend against touching the sampler or the scheduler for the upscale sampler, as it can be very temperamental, and I found a mix that works very well as is\n\nfor different upscale sizes, mess with the downscale node. Sizes listed:\n\n0.375 is 1.5x, 0.5 is 2x, .75 is 3x, 1.0 is 4x "
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21
+ "outputs": [
22
+ {
23
+ "name": "MODEL",
24
+ "type": "MODEL",
25
+ "links": [
26
+ 82
27
+ ],
28
+ "shape": 3,
29
+ "slot_index": 0
30
+ },
31
+ {
32
+ "name": "CLIP",
33
+ "type": "CLIP",
34
+ "links": [
35
+ 20,
36
+ 56
37
+ ],
38
+ "shape": 3,
39
+ "slot_index": 1
40
+ },
41
+ {
42
+ "name": "VAE",
43
+ "type": "VAE",
44
+ "links": [],
45
+ "shape": 3,
46
+ "slot_index": 2
47
+ }
48
+ ],
49
+ "title": "Load Checkpoint - REFINER",
50
+ "properties": {
51
+ "Node name for S&R": "CheckpointLoaderSimple"
52
+ },
53
+ "widgets_values": [
54
+ "ONE FOR ALL «Plus Ultra».safetensors"
55
+ ],
56
+ "color": "#323",
57
+ "bgcolor": "#535"
58
+ },
59
+ {
60
+ "id": 17,
61
+ "type": "VAEDecode",
62
+ "pos": [
63
+ 2211.0421364524136,
64
+ 1132.7586075106526
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+ ],
66
+ "size": {
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+ "0": 168.10414123535156,
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+ "1": 49.897037506103516
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+ },
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+ "flags": {},
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+ "order": 28,
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+ "mode": 0,
73
+ "inputs": [
74
+ {
75
+ "name": "samples",
76
+ "type": "LATENT",
77
+ "link": 25
78
+ },
79
+ {
80
+ "name": "vae",
81
+ "type": "VAE",
82
+ "link": 45
83
+ }
84
+ ],
85
+ "outputs": [
86
+ {
87
+ "name": "IMAGE",
88
+ "type": "IMAGE",
89
+ "links": [
90
+ 28
91
+ ],
92
+ "shape": 3,
93
+ "slot_index": 0
94
+ }
95
+ ],
96
+ "properties": {
97
+ "Node name for S&R": "VAEDecode"
98
+ },
99
+ "color": "#332922",
100
+ "bgcolor": "#593930"
101
+ },
102
+ {
103
+ "id": 45,
104
+ "type": "PrimitiveNode",
105
+ "pos": [
106
+ 1297,
107
+ 94
108
+ ],
109
+ "size": {
110
+ "0": 210,
111
+ "1": 82
112
+ },
113
+ "flags": {
114
+ "pinned": true
115
+ },
116
+ "order": 1,
117
+ "mode": 0,
118
+ "outputs": [
119
+ {
120
+ "name": "INT",
121
+ "type": "INT",
122
+ "links": [
123
+ 38
124
+ ],
125
+ "widget": {
126
+ "name": "steps"
127
+ }
128
+ }
129
+ ],
130
+ "title": "steps",
131
+ "properties": {
132
+ "Run widget replace on values": false
133
+ },
134
+ "widgets_values": [
135
+ 20,
136
+ "fixed"
137
+ ],
138
+ "color": "#432",
139
+ "bgcolor": "#653"
140
+ },
141
+ {
142
+ "id": 47,
143
+ "type": "PrimitiveNode",
144
+ "pos": [
145
+ 1300,
146
+ 215
147
+ ],
148
+ "size": {
149
+ "0": 210,
150
+ "1": 82
151
+ },
152
+ "flags": {
153
+ "pinned": true
154
+ },
155
+ "order": 2,
156
+ "mode": 0,
157
+ "outputs": [
158
+ {
159
+ "name": "INT",
160
+ "type": "INT",
161
+ "links": [
162
+ 44
163
+ ],
164
+ "widget": {
165
+ "name": "start_at_step"
166
+ },
167
+ "slot_index": 0
168
+ }
169
+ ],
170
+ "title": "end_at_step",
171
+ "properties": {
172
+ "Run widget replace on values": false
173
+ },
174
+ "widgets_values": [
175
+ 50,
176
+ "fixed"
177
+ ],
178
+ "color": "#432",
179
+ "bgcolor": "#653"
180
+ },
181
+ {
182
+ "id": 5,
183
+ "type": "EmptyLatentImage",
184
+ "pos": [
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+ 1307.0652991657557,
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+ 433.0301108068808
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+ ],
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+ "size": {
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+ "0": 283.5267028808594,
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+ "1": 106.84976959228516
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+ },
192
+ "flags": {
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+ "pinned": true
194
+ },
195
+ "order": 3,
196
+ "mode": 0,
197
+ "outputs": [
198
+ {
199
+ "name": "LATENT",
200
+ "type": "LATENT",
201
+ "links": [
202
+ 62
203
+ ],
204
+ "slot_index": 0
205
+ }
206
+ ],
207
+ "properties": {
208
+ "Node name for S&R": "EmptyLatentImage"
209
+ },
210
+ "widgets_values": [
211
+ 1024,
212
+ 1536,
213
+ 1
214
+ ],
215
+ "color": "#323",
216
+ "bgcolor": "#535"
217
+ },
218
+ {
219
+ "id": 38,
220
+ "type": "Note",
221
+ "pos": [
222
+ 12,
223
+ 43
224
+ ],
225
+ "size": {
226
+ "0": 282.8221740722656,
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+ "1": 151.1809539794922
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+ },
229
+ "flags": {
230
+ "pinned": true
231
+ },
232
+ "order": 4,
233
+ "mode": 0,
234
+ "title": "Note - Text Prompts",
235
+ "properties": {
236
+ "text": ""
237
+ },
238
+ "widgets_values": [
239
+ "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."
240
+ ],
241
+ "color": "#233",
242
+ "bgcolor": "#355"
243
+ },
244
+ {
245
+ "id": 19,
246
+ "type": "SaveImage",
247
+ "pos": [
248
+ 1639,
249
+ 84
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+ ],
251
+ "size": {
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+ "0": 841.3397827148438,
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+ "1": 920.2182006835938
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+ },
255
+ "flags": {
256
+ "pinned": true
257
+ },
258
+ "order": 29,
259
+ "mode": 0,
260
+ "inputs": [
261
+ {
262
+ "name": "images",
263
+ "type": "IMAGE",
264
+ "link": 28
265
+ }
266
+ ],
267
+ "properties": {},
268
+ "widgets_values": [
269
+ "ComfyUI"
270
+ ],
271
+ "color": "#222",
272
+ "bgcolor": "#000",
273
+ "shape": 4
274
+ },
275
+ {
276
+ "id": 16,
277
+ "type": "CLIPTextEncode",
278
+ "pos": [
279
+ 1909,
280
+ 1220
281
+ ],
282
+ "size": {
283
+ "0": 210,
284
+ "1": 54
285
+ },
286
+ "flags": {},
287
+ "order": 21,
288
+ "mode": 0,
289
+ "inputs": [
290
+ {
291
+ "name": "clip",
292
+ "type": "CLIP",
293
+ "link": 20
294
+ },
295
+ {
296
+ "name": "text",
297
+ "type": "STRING",
298
+ "link": 22,
299
+ "widget": {
300
+ "name": "text"
301
+ },
302
+ "slot_index": 1
303
+ }
304
+ ],
305
+ "outputs": [
306
+ {
307
+ "name": "CONDITIONING",
308
+ "type": "CONDITIONING",
309
+ "links": [
310
+ 24
311
+ ],
312
+ "slot_index": 0
313
+ }
314
+ ],
315
+ "properties": {
316
+ "Node name for S&R": "CLIPTextEncode"
317
+ },
318
+ "widgets_values": [
319
+ "(polydactyly), (((physically-uncommon))), embedding:negativeXL_D.safetensors"
320
+ ],
321
+ "color": "#322",
322
+ "bgcolor": "#533"
323
+ },
324
+ {
325
+ "id": 11,
326
+ "type": "KSamplerAdvanced",
327
+ "pos": [
328
+ 1289.692078416282,
329
+ 789.9947179139422
330
+ ],
331
+ "size": {
332
+ "0": 299.1629943847656,
333
+ "1": 326
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+ },
335
+ "flags": {
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+ "pinned": true
337
+ },
338
+ "order": 27,
339
+ "mode": 0,
340
+ "inputs": [
341
+ {
342
+ "name": "model",
343
+ "type": "MODEL",
344
+ "link": 82,
345
+ "slot_index": 0
346
+ },
347
+ {
348
+ "name": "positive",
349
+ "type": "CONDITIONING",
350
+ "link": 23
351
+ },
352
+ {
353
+ "name": "negative",
354
+ "type": "CONDITIONING",
355
+ "link": 24
356
+ },
357
+ {
358
+ "name": "latent_image",
359
+ "type": "LATENT",
360
+ "link": 63
361
+ },
362
+ {
363
+ "name": "steps",
364
+ "type": "INT",
365
+ "link": 38,
366
+ "widget": {
367
+ "name": "steps"
368
+ },
369
+ "slot_index": 4
370
+ },
371
+ {
372
+ "name": "start_at_step",
373
+ "type": "INT",
374
+ "link": 44,
375
+ "widget": {
376
+ "name": "start_at_step"
377
+ }
378
+ }
379
+ ],
380
+ "outputs": [
381
+ {
382
+ "name": "LATENT",
383
+ "type": "LATENT",
384
+ "links": [
385
+ 25
386
+ ],
387
+ "shape": 3,
388
+ "slot_index": 0
389
+ }
390
+ ],
391
+ "title": "KSampler (Advanced) - REFINER",
392
+ "properties": {
393
+ "Node name for S&R": "KSamplerAdvanced"
394
+ },
395
+ "widgets_values": [
396
+ "disable",
397
+ 0,
398
+ "fixed",
399
+ 20,
400
+ 8,
401
+ "dpmpp_3m_sde_gpu",
402
+ "exponential",
403
+ 50,
404
+ 10000,
405
+ "disable"
406
+ ],
407
+ "color": "#223",
408
+ "bgcolor": "#335"
409
+ },
410
+ {
411
+ "id": 39,
412
+ "type": "Note",
413
+ "pos": [
414
+ 20,
415
+ 760
416
+ ],
417
+ "size": {
418
+ "0": 268.6580505371094,
419
+ "1": 93.06724548339844
420
+ },
421
+ "flags": {},
422
+ "order": 5,
423
+ "mode": 0,
424
+ "title": "Note - CLIP Encode (BASE)",
425
+ "properties": {
426
+ "text": ""
427
+ },
428
+ "widgets_values": [
429
+ "These nodes receive the text from the prompt and use the optimal CLIP settings for the specified checkpoint model (in this case: SDXL Base)"
430
+ ],
431
+ "color": "#323",
432
+ "bgcolor": "#535"
433
+ },
434
+ {
435
+ "id": 43,
436
+ "type": "Note",
437
+ "pos": [
438
+ 310,
439
+ 761
440
+ ],
441
+ "size": {
442
+ "0": 282.9405212402344,
443
+ "1": 94.3211898803711
444
+ },
445
+ "flags": {},
446
+ "order": 6,
447
+ "mode": 0,
448
+ "title": "Note - CLIP Encode (REFINER)",
449
+ "properties": {
450
+ "text": ""
451
+ },
452
+ "widgets_values": [
453
+ "These nodes receive the text from the prompt and use the optimal CLIP settings for the specified checkpoint model (in this case: SDXL Refiner)"
454
+ ],
455
+ "color": "#323",
456
+ "bgcolor": "#535"
457
+ },
458
+ {
459
+ "id": 40,
460
+ "type": "Note",
461
+ "pos": [
462
+ 20,
463
+ 1037
464
+ ],
465
+ "size": {
466
+ "0": 575.94580078125,
467
+ "1": 261.596923828125
468
+ },
469
+ "flags": {},
470
+ "order": 7,
471
+ "mode": 0,
472
+ "title": "Note - KSampler ADVANCED General Information",
473
+ "properties": {
474
+ "text": ""
475
+ },
476
+ "widgets_values": [
477
+ "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. ONE FOR ALL «Plus Ultra» works well with 7 ~ 9.\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)."
478
+ ],
479
+ "color": "#432",
480
+ "bgcolor": "#653"
481
+ },
482
+ {
483
+ "id": 41,
484
+ "type": "Note",
485
+ "pos": [
486
+ 20,
487
+ 626
488
+ ],
489
+ "size": {
490
+ "0": 706.9281616210938,
491
+ "1": 78.74589538574219
492
+ },
493
+ "flags": {},
494
+ "order": 8,
495
+ "mode": 0,
496
+ "title": "Note - VAE Decoder",
497
+ "properties": {
498
+ "text": ""
499
+ },
500
+ "widgets_values": [
501
+ "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."
502
+ ],
503
+ "color": "#332922",
504
+ "bgcolor": "#593930"
505
+ },
506
+ {
507
+ "id": 36,
508
+ "type": "Note",
509
+ "pos": [
510
+ 12,
511
+ 242
512
+ ],
513
+ "size": {
514
+ "0": 285.0761413574219,
515
+ "1": 156.53858947753906
516
+ },
517
+ "flags": {},
518
+ "order": 9,
519
+ "mode": 0,
520
+ "title": "Note - Load Checkpoint BASE",
521
+ "properties": {
522
+ "text": ""
523
+ },
524
+ "widgets_values": [
525
+ "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"
526
+ ],
527
+ "color": "#323",
528
+ "bgcolor": "#535"
529
+ },
530
+ {
531
+ "id": 37,
532
+ "type": "Note",
533
+ "pos": [
534
+ 13,
535
+ 450
536
+ ],
537
+ "size": {
538
+ "0": 284.0761413574219,
539
+ "1": 131.85939025878906
540
+ },
541
+ "flags": {},
542
+ "order": 10,
543
+ "mode": 0,
544
+ "title": "Note - Load Checkpoint REFINER",
545
+ "properties": {
546
+ "text": ""
547
+ },
548
+ "widgets_values": [
549
+ "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."
550
+ ],
551
+ "color": "#323",
552
+ "bgcolor": "#535"
553
+ },
554
+ {
555
+ "id": 4,
556
+ "type": "CheckpointLoaderSimple",
557
+ "pos": [
558
+ 339,
559
+ 85
560
+ ],
561
+ "size": {
562
+ "0": 368.5576477050781,
563
+ "1": 98
564
+ },
565
+ "flags": {
566
+ "pinned": true
567
+ },
568
+ "order": 11,
569
+ "mode": 0,
570
+ "outputs": [
571
+ {
572
+ "name": "MODEL",
573
+ "type": "MODEL",
574
+ "links": [
575
+ 83
576
+ ],
577
+ "slot_index": 0
578
+ },
579
+ {
580
+ "name": "CLIP",
581
+ "type": "CLIP",
582
+ "links": [
583
+ 5,
584
+ 87
585
+ ],
586
+ "slot_index": 1
587
+ },
588
+ {
589
+ "name": "VAE",
590
+ "type": "VAE",
591
+ "links": [],
592
+ "slot_index": 2
593
+ }
594
+ ],
595
+ "title": "Load Checkpoint - BASE",
596
+ "properties": {
597
+ "Node name for S&R": "CheckpointLoaderSimple"
598
+ },
599
+ "widgets_values": [
600
+ "ONE FOR ALL «Plus Ultra».safetensors"
601
+ ],
602
+ "color": "#323",
603
+ "bgcolor": "#535"
604
+ },
605
+ {
606
+ "id": 48,
607
+ "type": "VAELoader",
608
+ "pos": [
609
+ 339,
610
+ 501
611
+ ],
612
+ "size": {
613
+ "0": 369.796630859375,
614
+ "1": 58
615
+ },
616
+ "flags": {
617
+ "pinned": true
618
+ },
619
+ "order": 12,
620
+ "mode": 0,
621
+ "outputs": [
622
+ {
623
+ "name": "VAE",
624
+ "type": "VAE",
625
+ "links": [
626
+ 45
627
+ ],
628
+ "shape": 3,
629
+ "slot_index": 0
630
+ }
631
+ ],
632
+ "properties": {
633
+ "Node name for S&R": "VAELoader"
634
+ },
635
+ "widgets_values": [
636
+ "sdxl_vae.safetensors"
637
+ ],
638
+ "color": "#332922",
639
+ "bgcolor": "#593930"
640
+ },
641
+ {
642
+ "id": 7,
643
+ "type": "CLIPTextEncode",
644
+ "pos": [
645
+ 1645.8610913085904,
646
+ 1216.4003784179702
647
+ ],
648
+ "size": {
649
+ "0": 210,
650
+ "1": 54
651
+ },
652
+ "flags": {},
653
+ "order": 20,
654
+ "mode": 0,
655
+ "inputs": [
656
+ {
657
+ "name": "clip",
658
+ "type": "CLIP",
659
+ "link": 5
660
+ },
661
+ {
662
+ "name": "text",
663
+ "type": "STRING",
664
+ "link": 18,
665
+ "widget": {
666
+ "name": "text"
667
+ },
668
+ "slot_index": 1
669
+ }
670
+ ],
671
+ "outputs": [
672
+ {
673
+ "name": "CONDITIONING",
674
+ "type": "CONDITIONING",
675
+ "links": [
676
+ 61
677
+ ],
678
+ "slot_index": 0
679
+ }
680
+ ],
681
+ "properties": {
682
+ "Node name for S&R": "CLIPTextEncode"
683
+ },
684
+ "widgets_values": [
685
+ "(polydactyly), (((physically-uncommon))), embedding:negativeXL_D.safetensors"
686
+ ],
687
+ "color": "#322",
688
+ "bgcolor": "#533"
689
+ },
690
+ {
691
+ "id": 64,
692
+ "type": "KSamplerAdvanced",
693
+ "pos": [
694
+ 1294.692078416282,
695
+ 794.9947179139422
696
+ ],
697
+ "size": {
698
+ "0": 299.1629943847656,
699
+ "1": 326
700
+ },
701
+ "flags": {
702
+ "pinned": true
703
+ },
704
+ "order": 13,
705
+ "mode": 0,
706
+ "inputs": [
707
+ {
708
+ "name": "model",
709
+ "type": "MODEL",
710
+ "link": null,
711
+ "slot_index": 0
712
+ },
713
+ {
714
+ "name": "positive",
715
+ "type": "CONDITIONING",
716
+ "link": null
717
+ },
718
+ {
719
+ "name": "negative",
720
+ "type": "CONDITIONING",
721
+ "link": null
722
+ },
723
+ {
724
+ "name": "latent_image",
725
+ "type": "LATENT",
726
+ "link": null
727
+ },
728
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+ {
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+ "name": "text",
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+ "Node name for S&R": "CLIPTextEncode"
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+ "widgets_values": [
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+ "\\\\ Made with ONE FOR ALL model by Chaos Experience @ https://civitai.com/user/ChaosExperience/ \\\\\n(Ultra-HD-details, discreet, emphasized-details, life-size-body, cutesie)\n(1girl, pink hair, big long hair, blue eyes, hair between eyes, blush, confident smile, perfect cuteness, bangs, medium breasts, smile, black sweater, turtleneck sweater, sleeveless, necklace, skirt, pleated skirt, black skirt, black belt)\n(upper body, solo, night city background, starry night)\nfantasy, glowing\n(cinematic light, depth of field)"
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+ "color": "#232",
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+ "bgcolor": "#353"
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+ "mode": 0,
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+ "title": "Note - LoRA - General Information",
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+ "properties": {
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+ "text": ""
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+ },
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+ "widgets_values": [
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+ "Important: More LoRA means more time to render the image, keep that in mind.\n- You can add more LoRA by right-clicking on the LoRA group panel and going to ADD NODE --> LOADERS --> LOAD LORA. After that you need to connect the new node to the first LOAD LORA and then to the last LOAD LORA (connect MODEL and CLIP).\n- Set the STRENGTH to ZERO to disable the module from reading the LoRA or use ByPass option."
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+ "name": "MODEL",
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+ "shape": 3
1006
+ }
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1008
+ "properties": {
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+ "ttNbgOverride": {
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+ "widgets_values": [
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+ "color": "#232",
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+ "order": 15,
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+ "mode": 0,
1038
+ "title": "LoRA - Note Trigger Words",
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+ "properties": {
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+ "text": ""
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+ },
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+ "widgets_values": [
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+ "properties": {
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+ "Run widget replace on values": false
1205
+ },
1206
+ "widgets_values": [
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+ "(polydactyly), (((physically-uncommon))), embedding:negativeXL_D.safetensors"
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+ ],
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+ "color": "#322",
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+ "color": "#232",
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+ "bgcolor": "#353"
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+ "mode": 0,
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+ "title": "Note - Empty Latent Image",
1267
+ "properties": {
1268
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1269
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1270
+ "widgets_values": [
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+ "This node sets the image's resolution in Width and Height.\n\nONE FOR ALL «Plus Ultra» works well with 1280 x 800 | 800 x 1280 and 1024 x 1536 | 1536 x 1024, for others SDXL models (OFA «PS» inclusive), it is recommended to use trained values listed below:\n\n - 1024 x 1024\n - 1152 x 896 | 896 x 1152\n - 1216 x 832 | 832 x 1216\n - 1344 x 768 | 768 x 1344\n - 1536 x 640 | 640 x 1536"
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