-
-
Notifications
You must be signed in to change notification settings - Fork 456
/
Copy pathlocale_en.json
1258 lines (1258 loc) · 112 KB
/
locale_en.json
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
{"icons": [
{"id":"","label":"🎲️","localized":"","hint":"Use random seed"},
{"id":"","label":"🔄","localized":"","hint":"Reset values"},
{"id":"","label":"⬆️","localized":"","hint":"Upload image"},
{"id":"","label":"⬅️","localized":"","hint":"Reuse image"},
{"id":"","label":"⇅","localized":"","hint":"Swap values"},
{"id":"","label":"⇨","localized":"","hint":"Apply preset to Manual Block Merge tab"},
{"id":"","label":"🕮","localized":"","hint":"Save parameters from last generated image as style template"},
{"id":"","label":"⇕","localized":"","hint":"Sort by: Name asc/desc, Size largest/smallest, Time newest/oldest"},
{"id":"","label":"⟲","localized":"","hint":"Refresh"},
{"id":"","label":"✕","localized":"","hint":"Close"},
{"id":"","label":"⊜","localized":"","hint":"Fill"},
{"id":"","label":"⌾","localized":"","hint":"Load model as refiner model when selected, otherwise load as base model"},
{"id":"","label":"🔎︎","localized":"","hint":"Scan CivitAI for missing metadata and previews"},
{"id":"","label":"☲","localized":"","hint":"Change view type"},
{"id":"","label":"📐","localized":"","hint":"Measure"},
{"id":"","label":"🔍","localized":"","hint":"Search"},
{"id":"","label":"🖌️","localized":"","hint":"LaMa remove selected object from image"},
{"id":"","label":"🖼️","localized":"","hint":"Show preview"},
{"id":"","label":"♻","localized":"","hint":"Interrogate image"},
{"id":"","label":"↶","localized":"","hint":"Apply selected style to prompt"},
{"id":"","label":"↷","localized":"","hint":"Save current prompt to style"}
],
"main": [
{"id":"","label":"Prompt","localized":"","hint":"Describe image you want to generate"},
{"id":"","label":"Negative prompt","localized":"","hint":"Describe what you don't want to see in generated image"},
{"id":"","label":"Text","localized":"","hint":"Create image from text"},
{"id":"","label":"Image","localized":"","hint":"Create image from image"},
{"id":"","label":"Control","localized":"","hint":"Create image with additional control"},
{"id":"","label":"Process","localized":"","hint":"Process existing image"},
{"id":"","label":"Interrogate","localized":"","hint":"Run interrogate to get description of your image"},
{"id":"","label":"Models","localized":"","hint":"Download, convert or merge your models and manage models metadata"},
{"id":"","label":"Agent Scheduler","localized":"","hint":"Enqueue your generate requests and run them in the background"},
{"id":"","label":"System","localized":"","hint":"System settings and information"},
{"id":"","label":"System Info","localized":"","hint":"System information"},
{"id":"","label":"Settings","localized":"","hint":"Application settings"},
{"id":"","label":"Script","localized":"","hint":"Additional scripts to be used"},
{"id":"","label":"Generate","localized":"","hint":"Start processing"},
{"id":"","label":"Enqueue","localized":"","hint":"Add task to background queue in Agent Scheduler"},
{"id":"","label":"Reprocess","localized":"","hint":"Reprocess previous generations using different parameters"},
{"id":"","label":"Stop","localized":"","hint":"Stop processing"},
{"id":"","label":"Skip","localized":"","hint":"Stop processing current job and continue processing"},
{"id":"","label":"Pause","localized":"","hint":"Pause processing"},
{"id":"","label":"Restore","localized":"","hint":"Restore parameters from current prompt or last known generated image"},
{"id":"","label":"Clear","localized":"","hint":"Clear prompts"},
{"id":"","label":"Networks","localized":"","hint":"Networks user interface"},
{"id":"","label":"Default strength","localized":"","hint":"When adding extra network such as Lora to prompt, use this multiplier for it"},
{"id":"","label":"Model","localized":"","hint":"Base model"},
{"id":"","label":"Style","localized":"","hint":"Additional styles to be applied on selected generation parameters"},
{"id":"","label":"Styles","localized":"","hint":"Additional styles to be applied on selected generation parameters"},
{"id":"","label":"Lora","localized":"","hint":"LoRA: Low-Rank Adaptation. Fine-tuned model that is applied on top of a loaded model"},
{"id":"","label":"Embedding","localized":"","hint":"Textual inversion embedding is a trained embedded information about the subject"},
{"id":"","label":"Hypernetwork","localized":"","hint":"Small trained neural network that modifies behavior of the loaded model"},
{"id":"","label":"VAE","localized":"","hint":"Variable Auto Encoder: model used to run image decode at the end of generate"},
{"id":"","label":"History","localized":"","hint":"List of previous generations that can be further reprocessed"},
{"id":"","label":"UI disable variable aspect ratio","localized":"","hint":"When disabled, all thumbnails appear as squared images"},
{"id":"","label":"Build info on first access","localized":"","hint":"Prevents server from building EN page on server startup and instead build it when requested"},
{"id":"","label":"Show reference styles","localized":"","hint":"Show or hide build-it styles"},
{"id":"","label":"LoRA load using Diffusers method","localized":"","hint":"Alternative method uses diffusers built-in LoRA capabilities instead of native SD.Next implementation (may reduce LoRA compatibility)"},
{"id":"","label":"LoRA fuse directly to model","localized":"","hint":"When loading LoRAs, immediately merge weights with underlying model instead of applying them on-the-fly"},
{"id":"","label":"LoRA memory cache","localized":"","hint":"How many LoRAs to keep in network for future use before requiring reloading from storage"},
{"id":"","label":"Local","localized":"","hint":"Models that are downlaoded and ready to use"},
{"id":"","label":"Gallery","localized":"","hint":"Image gallery"},
{"id":"","label":"Reference","localized":"","hint":"List of reference models that can be automatically downloaded on first use"},
{"id":"","label":"Samplers","localized":"","hint":"Samplers/schedulers advanced settings"},
{"id":"","label":"Seed","localized":"","hint":"Initial seed and variation"},
{"id":"","label":"Advanced","localized":"","hint":"Advanced settings"},
{"id":"","label":"Corrections","localized":"","hint":"Control image color/sharpen/brighness corrections during generate process"},
{"id":"","label":"Refine","localized":"","hint":"Settings related to Upscale, HiRes and Refine processing"},
{"id":"","label":"Detailer","localized":"","hint":"Detailer settings"},
{"id":"","label":"Resize","localized":"","hint":"Image resizing, can be using fixed resolution on based on scale"},
{"id":"","label":"Batch","localized":"","hint":"Batch processing settings"},
{"id":"","label":"Denoise","localized":"","hint":"Denoising settings. Higher denoise means that more of existing image content is allowed to change during generate"},
{"id":"","label":"Mask","localized":"","hint":"Image masking and mask options"},
{"id":"","label":"Input","localized":"","hint":"Selection of input media"},
{"id":"","label":"Video","localized":"","hint":"Settings related to video generation"},
{"id":"","label":"Control elements","localized":"","hint":"Control elements are advanced models that can guide generation towards desired outcome"},
{"id":"","label":"IP adapters","localized":"","hint":"IP adapters are plugin models that can guide generation towards desired outcome"},
{"id":"","label":"Extensions","localized":"","hint":"Application extensions"},
{"id":"","label":"XYZ Grid","localized":"","hint":"XYZ grid is a powerful module that create image grid based on varying multiple generation parameters"},
{"id":"","label":"cover","localized":"","hint":"cover full area"},
{"id":"","label":"inline","localized":"","hint":"inline with all additional elements (scrollable)"},
{"id":"","label":"sidebar","localized":"","hint":"sidebar on the right side of the screen"},
{"id":"","label":"sd15","localized":"","hint":"StableDiffusion 1.5"},
{"id":"","label":"sd21","localized":"","hint":"StableDiffusion 2.1"},
{"id":"","label":"sd35","localized":"","hint":"StableDiffusion 3.5"},
{"id":"","label":"sdxl","localized":"","hint":"StableDiffusion XL"},
{"id":"","label":"sc","localized":"","hint":"StableCascade"},
{"id":"","label":"flux","localized":"","hint":"FLUX.1"},
{"id":"","label":"show","localized":"","hint":"Show image location"},
{"id":"","label":"save","localized":"","hint":"Save image"},
{"id":"","label":"delete","localized":"","hint":"Delete image"},
{"id":"","label":"replace","localized":"","hint":"Replace image"},
{"id":"","label":"➠ text","localized":"","hint":"Transfer image to text interface"},
{"id":"","label":"➠ image","localized":"","hint":"Transfer image to image interface"},
{"id":"","label":"➠ inpaint","localized":"","hint":"Transfer image to inpaint interface"},
{"id":"","label":"➠ sketch","localized":"","hint":"Transfer image to sketch interface"},
{"id":"","label":"➠ composite","localized":"","hint":"Transfer image to inpaint sketch interface"},
{"id":"","label":"➠ process","localized":"","hint":"Transfer image to process interface"}
],
"generate": [
{"id":"","label":"Sampling method","localized":"","hint":"Which algorithm to use to produce the image"},
{"id":"","label":"Steps","localized":"","hint":"How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results"},
{"id":"","label":"Tiling","localized":"","hint":"Produce an image that can be tiled"},
{"id":"","label":"full quality","localized":"","hint":"Use full quality VAE to decode latent samples"},
{"id":"","label":"hidiffusion","localized":"","hint":"HiDiffusion allows creation of high-resolution images using your standard models without duplicates/distortions and improved performance"},
{"id":"","label":"HDR Clamp","localized":"","hint":"Adjusts the level of nonsensical details by pruning values that deviate significantly from the distribution mean. It is particularly useful for enhancing generation at higher guidance scales, identifying outliers early in the process and applying mathematical adjustments based on the Range (Boundary) and Threshold settings. Think of it as setting the range within which you want your image values to be, and adjusting the threshold determines which values should be brought back into that range"},
{"id":"","label":"HDR Maximize","localized":"","hint":"Calculates a 'normalization factor' by dividing the maximum tensor value by the specified range multiplied by 4. This factor is then used to shift the channels within the given boundary, ensuring maximum dynamic range for subsequent processing. The objective is to optimize dynamic range for external applications like Photoshop, particularly for adjusting levels, contrast, and brightness"},
{"id":"","label":"Enable refine pass","localized":"","hint":"Use a similar process as image to image to upscale and/or add detail to the final image. Optionally uses refiner model to enhance image details."},
{"id":"","label":"enable detailer pass","localized":"","hint":"Detect target objects such as face and reprocess it at higher resolution"},
{"id":"","label":"Denoising strength","localized":"","hint":"Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies"},
{"id":"","label":"Denoise start","localized":"","hint":"Override denoise strength by stating how early base model should finish and when refiner should start. Only applicable to refiner usage. If set to 0 or 1, denoising strength will be used"},
{"id":"","label":"Hires steps","localized":"","hint":"Number of sampling steps for upscaled picture. If 0, uses same as for original"},
{"id":"","label":"strength","localized":"","hint":"Denoising strength of during image operation controls how much of original image is allowed to change during generate"},
{"id":"","label":"Upscaler","localized":"","hint":"Which pre-trained model to use for the upscaling process."},
{"id":"","label":"Force Hires","localized":"","hint":"Hires runs automatically when Latent upscale is selected, but its skipped when using non-latent upscalers. Enable force hires to run hires with non-latent upscalers"},
{"id":"","label":"Resize width","localized":"","hint":"Resizes image to this width. If 0, width is inferred from either of two nearby sliders"},
{"id":"","label":"Resize height","localized":"","hint":"Resizes image to this height. If 0, height is inferred from either of two nearby sliders"},
{"id":"","label":"Refine sampler","localized":"","hint":"Use specific sampler as fallback sampler if primary is not supported for specific operation"},
{"id":"","label":"Refiner start","localized":"","hint":"Refiner pass will start when base model is this much complete (set to larger than 0 and smaller than 1 to run after full base model run)"},
{"id":"","label":"Refiner steps","localized":"","hint":"Number of steps to use for refiner pass"},
{"id":"","label":"Refine guidance","localized":"","hint":"CFG scale used for refiner pass"},
{"id":"","label":"Attention guidance","localized":"","hint":"CFG scale used for with PAG: Perturbed-Attention Guidance"},
{"id":"","label":"Adaptive scaling","localized":"","hint":"Adaptive modifier for attention guidance scale"},
{"id":"","label":"Rescale guidance","localized":"","hint":"Rescale CFG generated noise to avoid overexposed images"},
{"id":"","label":"Refine Prompt","localized":"","hint":"Prompt used for both second encoder in base model (if it exists) and for refiner pass (if enabled)"},
{"id":"","label":"Refine negative prompt","localized":"","hint":"Negative prompt used for both second encoder in base model (if it exists) and for refiner pass (if enabled)"},
{"id":"","label":"Width","localized":"","hint":"Image width"},
{"id":"","label":"Height","localized":"","hint":"Image height"},
{"id":"","label":"Batch count","localized":"","hint":"How many batches of images to create (has no impact on generation performance or VRAM usage)"},
{"id":"","label":"Batch size","localized":"","hint":"How many image to create in a single batch (increases generation performance at cost of higher VRAM usage)"},
{"id":"","label":"guidance scale","localized":"","hint":"Classifier Free Guidance scale: how strongly the image should conform to prompt. Lower values produce more creative results, higher values make it follow the prompt more strictly; recommended values between 5-10"},
{"id":"","label":"Guidance End","localized":"","hint":"Ends the effect of CFG and PAG early: A value of 1 acts as normal, 0.5 stops guidance at 50% of steps"},
{"id":"","label":"Initial seed","localized":"","hint":"A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result"},
{"id":"","label":"Variation","localized":"","hint":"Second seed to be mixed with primary seed"},
{"id":"","label":"Variation strength","localized":"","hint":"How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something)"},
{"id":"","label":"Resize seed from width","localized":"","hint":"Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution"},
{"id":"","label":"Resize seed from height","localized":"","hint":"Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution"},
{"id":"","label":"Fixed","localized":"","hint":"Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio"},
{"id":"","label":"scale","localized":"","hint":"Resize image to target scale. If resize fixed width/height are set this option is ignored"},
{"id":"","label":"Crop","localized":"","hint":"Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out"},
{"id":"","label":"Fill","localized":"","hint":"Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors"},
{"id":"","label":"Mask blur","localized":"","hint":"How much to blur the mask before processing, in pixels"},
{"id":"","label":"latent noise","localized":"","hint":"fill it with latent space noise"},
{"id":"","label":"latent nothing","localized":"","hint":"fill it with latent space zeroes"},
{"id":"","label":"Guess Mode","localized":"","hint":"Removes the requirement to supply a prompt to a ControlNet. It forces Controlnet encoder to do it's 'best guess' based on the contents of the input control map."},
{"id":"","label":"Control Only","localized":"","hint":"This uses only the Control input below as the source for any ControlNet or IP Adapter type tasks based on any of our various options."},
{"id":"","label":"Init Image Same As Control","localized":"","hint":"Will additionally treat any image placed into the Control input window as a source for img2img type tasks, an image to modify for example."},
{"id":"","label":"Separate Init Image","localized":"","hint":"Creates an additional window next to Control input labeled Init input, so you can have a separate image for both Control operations and an init source."},
{"id":"","label":"Override settings","localized":"","hint":"If generation parameters deviate from your system settings override settings populated with those settings to override your system configuration for this workflow"}
],
"other": [
{"id":"","label":"Install","localized":"","hint":"Install"},
{"id":"","label":"Search","localized":"","hint":"Search"},
{"id":"","label":"Sort by","localized":"","hint":"Sort by"},
{"id":"","label":"Manage extensions","localized":"","hint":"Manage extensions"},
{"id":"","label":"Manual install","localized":"","hint":"Manually install extension"},
{"id":"","label":"Extension GIT repository URL","localized":"","hint":"Specify extension repository URL on GitHub"},
{"id":"","label":"Specific branch name","localized":"","hint":"Specify extension branch name, leave blank for default"},
{"id":"","label":"Local directory name","localized":"","hint":"Directory where to install extension, leave blank for default"},
{"id":"","label":"Refresh extension list","localized":"","hint":"Refresh list of available extensions"},
{"id":"","label":"Update all installed","localized":"","hint":"Update installed extensions to their latest available version"},
{"id":"","label":"Apply changes","localized":"","hint":"Apply all changes and restart server"},
{"id":"","label":"uninstall","localized":"","hint":"uninstall this extension"},
{"id":"","label":"User interface","localized":"","hint":"Review and set user interface preferences"},
{"id":"","label":"Set ui defaults","localized":"","hint":"Set current values as default values for the user interface"},
{"id":"","label":"Benchmark","localized":"","hint":"Run benchmarks"},
{"id":"","label":"Models & Networks","localized":"","hint":"View lists of all available models and networks"},
{"id":"","label":"Restore UI defaults","localized":"","hint":"Restore default user interface values"},
{"id":"","label":"detailer classes","localized":"","hint":"Specify specific classes to use if selected detailer model is a multi-class model"},
{"id":"","label":"detailer models","localized":"","hint":"Select detection models to use for detailing"},
{"id":"","label":"detailer negative prompt","localized":"","hint":"Use separate negative prompt for detailer. If not present, it will use primary negative prompt"},
{"id":"","label":"detailer prompt","localized":"","hint":"Use separate prompt for detailer. If not present, it will use primary prompt"},
{"id":"","label":"detailer steps","localized":"","hint":"Number of steps to run for detailer process"},
{"id":"","label":"detailer strength","localized":"","hint":"Denoising strength of detailer process"},
{"id":"","label":"detailer use model augment","localized":"","hint":"Run detailer detection models at extra precision"},
{"id":"","label":"max detected","localized":"","hint":"Maximum number of detected objects to run detailer on"},
{"id":"","label":"edge blur","localized":"","hint":"Blur edge of masked area by this percentage"},
{"id":"","label":"edge padding","localized":"","hint":"Expand edge of masked area by this percentage"},
{"id":"","label":"min confidence","localized":"","hint":"Minimum confidence in detected item"},
{"id":"","label":"max overlap","localized":"","hint":"Maximum overlap between two detected items before one is discarded"},
{"id":"","label":"min size","localized":"","hint":"Minimum size of detected object as percentage of overal image"},
{"id":"","label":"max size","localized":"","hint":"Maximum size of detected object as percentage of overal image"},
{"id":"","label":"Process Image","localized":"","hint":"Process single image"},
{"id":"","label":"Process Batch","localized":"","hint":"Process batch of images"},
{"id":"","label":"Process Folder","localized":"","hint":"Process all images in a folder"},
{"id":"","label":"Scale by","localized":"","hint":"Use this tab to resize the source image(s) by a chosen factor"},
{"id":"","label":"Scale to","localized":"","hint":"Use this tab to resize the source image(s) to a chosen target size"},
{"id":"","label":"Input directory","localized":"","hint":"Folder where the images are that you want to process"},
{"id":"","label":"Output directory","localized":"","hint":"Folder where the processed images should be saved to"},
{"id":"","label":"Show result images","localized":"","hint":"Enable to show the processed images in the image pane"},
{"id":"","label":"Crop to fit","localized":"","hint":"If the dimensions of your source image (e.g. 512x510) deviate from your target dimensions (e.g. 1024x768) this function will fit your upscaled image into your target size image. Excess will be cropped"},
{"id":"","label":"Refine Upscaler","localized":"","hint":"Select secondary upscaler to run after initial upscaler"},
{"id":"","label":"Upscaler 2 visibility","localized":"","hint":"Strength of the secondary upscaler"},
{"id":"","label":"Calculate hash for all models","localized":"","hint":"Calculates hash for all available models which may take a very long time"},
{"id":"","label":"Weights Clip","localized":"","hint":"Forced merged weights to be no heavier than the original model, preventing burn in and overly saturated models"},
{"id":"","label":"ReBasin","localized":"","hint":"Performs multiple merges with permutations in order to keep more features from both models"},
{"id":"","label":"Number of ReBasin Iterations","localized":"","hint":"Number of times to merge and permute the model before saving"},
{"id":"","label":"cpu","localized":"","hint":"Uses cpu and RAM only: slowest but least likely to OOM"},
{"id":"","label":"shuffle","localized":"","hint":"Loads full model in RAM and calculates on VRAM: Less speedup, suggested for SDXL merges"},
{"id":"","label":"In Blocks","localized":"","hint":"Downsampling Blocks of the UNet (12 values for SD1.5, 9 values for SDXL)"},
{"id":"","label":"Mid Block","localized":"","hint":"Central Block of the UNet (1 value)"},
{"id":"","label":"Out Block","localized":"","hint":"Upsampling Blocks of the UNet (12 values for SD1.5, 9 values for SDXL)"},
{"id":"","label":"Preset Interpolation Ratio","localized":"","hint":"If two presets are selected, interpolate between them"},
{"id":"","label":"adapter","localized":"","hint":"IP adapter model"},
{"id":"","label":"active ip adapters","localized":"","hint":"Number of active IP adapter"},
{"id":"","label":"unload adapter","localized":"","hint":"Unload IP adapter immediately after generate. Otherwise IP adapter will remain loaded for faster use in next generate process"},
{"id":"","label":"crop to portrait","localized":"","hint":"Crop input image to portrait-only before using it as IP adapter input"},
{"id":"","label":"layer options","localized":"","hint":"Manually specify IP adapter advanced layer options"},
{"id":"","label":"X values","localized":"","hint":"Separate values for X axis using commas"},
{"id":"","label":"Y values","localized":"","hint":"Separate values for Y axis using commas"},
{"id":"","label":"Z values","localized":"","hint":"Separate values for Z axis using commas"},
{"id":"","label":"Loops","localized":"","hint":"How many times to process an image. Each output is used as the input of the next loop. If set to 1, behavior will be as if this script were not used"},
{"id":"","label":"Final denoising strength","localized":"","hint":"The denoising strength for the final loop of each image in the batch"},
{"id":"","label":"Denoising strength curve","localized":"","hint":"The denoising curve controls the rate of denoising strength change each loop. Aggressive: Most of the change will happen towards the start of the loops. Linear: Change will be constant through all loops. Lazy: Most of the change will happen towards the end of the loops"},
{"id":"","label":"Tile overlap","localized":"","hint":"For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam"},
{"id":"","label":"ACI: Color to Mask","localized":"","hint":"Pick the color you want to mask and inpaint. Click on the color in the image to automatically select it.\n Advised to use images like green screens to get precise results."},
{"id":"","label":"ACI: Color Tolerance","localized":"","hint":"Adjust the tolerance to include similar colors in the mask. Lower values = mask only very similar colors. Higher = values mask a wider range of similar colors."},
{"id":"","label":"ACI: Mask Padding","localized":"","hint":"Adjust padding to apply a inside offset to the mask. (Recommended value = 2 to remove leftovers at edges)"},
{"id":"","label":"ACI: Mask Blur","localized":"","hint":"Adjust blur to apply a smooth transition between image and inpainted area. (Recommended value = 0 for sharpness)"},
{"id":"","label":"ACI: Denoising Strength","localized":"","hint":"Change Denoising Strength to achieve desired inpaint amount."}
],
"settings": [
{"id":"settings_submit","label":"Apply settings","localized":"","hint":"Save current settings, server restart is recommended"},
{"id":"restart_submit","label":"Restart server","localized":"","hint":"Restart server"},
{"id":"shutdown_submit","label":"Shutdown server","localized":"","hint":"Shutdown server"},
{"id":"settings_preview_theme","label":"Preview theme","localized":"","hint":"Show theme preview"},
{"id":"defaults_submit","label":"Restore defaults","localized":"","hint":"Restore default server settings"},
{"id":"sett_unload_sd_model","label":"Unload model","localized":"","hint":"Unload currently loaded model"},
{"id":"sett_reload_sd_model","label":"Reload model","localized":"","hint":"Reload currently selected model"},
{"id":"","label":"Models & Loading","localized":"","hint":"Settings related to base models, primary backend and model load behavior"},
{"id":"","label":"Variable Auto Encoder","localized":"","hint":"Settings related to variable auto encoder and image decoding process during generate"},
{"id":"","label":"Text encoder","localized":"","hint":"Settings related to text encoder and prompt encoding processing during generate"},
{"id":"","label":"Compute Settings","localized":"","hint":"Settings related to compute precision, cross attention, and optimizations for computing platforms"},
{"id":"","label":"Backend Settings","localized":"","hint":"Settings related to compute backends: torch, onnx and olive"},
{"id":"","label":"Quantization Settings","localized":"","hint":"Settings related to model quantization"},
{"id":"","label":"Pipeline modifiers","localized":"","hint":"Additional functionality that can be enabled during generate"},
{"id":"","label":"Model compile","localized":"","hint":"Settings related to different model compilation methods"},
{"id":"","label":"System Paths","localized":"","hint":"Settings related to location of various model directories"},
{"id":"","label":"Image Options","localized":"","hint":"Settings related to image format, metadata, and image grids"},
{"id":"","label":"image Paths","localized":"","hint":"Settings related to image filenames, and output directories"},
{"id":"","label":"Live Previews","localized":"","hint":"Settings related to live previews, audio notification"},
{"id":"","label":"Sampler Settings","localized":"","hint":"Settings related to sampler selection and configuration, and diffuser specific sampler configuration"},
{"id":"","label":"Postprocessing","localized":"","hint":"Settings related to post image generation processing, face restoration, and upscaling"},
{"id":"","label":"Control Options","localized":"","hint":"Settings related the Control tab"},
{"id":"","label":"Huggingface","localized":"","hint":"Settings related huggingface access"},
{"id":"","label":"Show all pages","localized":"","hint":"Show all settings pages"},
{"id":"","label":"base model","localized":"","hint":"Main model used for all operations"},
{"id":"","label":"refiner model","localized":"","hint":"Refiner model used for second-pass operations"},
{"id":"","label":"Cached models","localized":"","hint":"The number of models to store in RAM for quick access"},
{"id":"","label":"VAE model","localized":"","hint":"VAE helps with fine details in the final image and may also alter colors"},
{"id":"","label":"Model load using streams","localized":"","hint":"When loading models attempt stream loading optimized for slow or network storage"},
{"id":"","label":"xFormers","localized":"","hint":"Memory optimization. Non-Deterministic (different results each time)"},
{"id":"","label":"Scaled-Dot-Product","localized":"","hint":"Memory optimization. Non-Deterministic unless SDP memory attention is disabled."},
{"id":"","label":"Prompt padding","localized":"","hint":"Increase coherency by padding from the last comma within n tokens when using more than 75 tokens"},
{"id":"","label":"Original","localized":"","hint":"Original LDM backend"},
{"id":"","label":"Autocast","localized":"","hint":"Automatically determine precision during runtime"},
{"id":"","label":"Full","localized":"","hint":"Always use full precision"},
{"id":"","label":"FP32","localized":"","hint":"Use 32-bit floating point precision for calculations"},
{"id":"","label":"FP16","localized":"","hint":"Use 16-bit floating point precision for calculations"},
{"id":"","label":"BF16","localized":"","hint":"Use modified 16-bit floating point precision for calculations"},
{"id":"","label":"Full precision (--no-half-vae)","localized":"","hint":"Uses FP32 for the VAE. May produce better results while using more VRAM and slower generation"},
{"id":"","label":"Force full precision (--no-half)","localized":"","hint":"Uses FP32 for the model. May produce better results while using more VRAM and slower generation"},
{"id":"","label":"Upcast sampling","localized":"","hint":"Usually produces similar results to --no-half with better performance while using less memory"},
{"id":"","label":"Attempt VAE roll back for NaN values","localized":"","hint":"Requires Torch 2.1 and NaN check enabled"},
{"id":"","label":"Olive use FP16 on optimization","localized":"","hint":"Use 16-bit floating point precision for the output model of Olive optimization process. Use 32-bit floating point precision if disabled"},
{"id":"","label":"Olive force FP32 for VAE Encoder","localized":"","hint":"Use 32-bit floating point precision for VAE Encoder of the output model. This overrides 'use FP16 on optimization' option. If you are getting NaN or black blank images from Img2Img, enable this option and remove cache"},
{"id":"","label":"Olive use static dimensions","localized":"","hint":"Make the inference with Olive optimized models much faster. (OrtTransformersOptimization)"},
{"id":"","label":"Olive cache optimized models","localized":"","hint":"Save Olive processed models as a cache. You can manage them in ONNX tab"},
{"id":"","label":"File format","localized":"","hint":"Select file format for images"},
{"id":"","label":"Include metadata","localized":"","hint":"Save image create parameters as metadata tags inside image file"},
{"id":"","label":"Images filename pattern","localized":"","hint":"Use following tags to define how filenames for images are chosen:<br><pre>seq, uuid<br>date, datetime, job_timestamp<br>generation_number, batch_number<br>model, model_shortname<br>model_hash, model_name<br>sampler, seed, steps, cfg<br>clip_skip, denoising<br>hasprompt, prompt, styles<br>prompt_hash, prompt_no_styles<br>prompt_spaces, prompt_words<br>height, width, image_hash<br></pre>"},
{"id":"","label":"Row count","localized":"","hint":"Use -1 for autodetect and 0 for it to be same as batch size"},
{"id":"","label":"Directory name pattern","localized":"","hint":"Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg],[prompt_hash], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [model_name], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default"},
{"id":"","label":"Inpainting conditioning mask strength","localized":"","hint":"Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked (default). 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes"},
{"id":"","label":"Clip skip","localized":"","hint":"Early stopping parameter for CLIP model; 1 is stop at last layer as usual, 2 is stop at penultimate layer, etc"},
{"id":"","label":"Images folder","localized":"","hint":"If empty, defaults to three directories below"},
{"id":"","label":"Grids folder","localized":"","hint":"If empty, defaults to two directories below"},
{"id":"","label":"Quicksettings list","localized":"","hint":"List of setting names, separated by commas, for settings that should go to the quick access bar at the top instead the setting tab"},
{"id":"","label":"Live preview display period","localized":"","hint":"Request preview image every n steps, set to 0 to disable"},
{"id":"","label":"Approximate","localized":"","hint":"Cheap neural network approximation. Very fast compared to VAE, but produces pictures with 4 times smaller horizontal/vertical resolution and lower quality"},
{"id":"","label":"Simple","localized":"","hint":"Very cheap approximation. Very fast compared to VAE, but produces pictures with 8 times smaller horizontal/vertical resolution and extremely low quality"},
{"id":"","label":"Progress update period","localized":"","hint":"Update period for UI progress bar and preview checks, in milliseconds"},
{"id":"","label":"Euler a","localized":"","hint":"Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps higher than 30-40 does not help"},
{"id":"","label":"DDIM","localized":"","hint":"Denoising Diffusion Implicit Models - best at inpainting"},
{"id":"","label":"UniPC","localized":"","hint":"Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models"},
{"id":"","label":"sigma negative guidance minimum","localized":"","hint":"Skip negative prompt for some steps when the image is almost ready, 0=disable"},
{"id":"","label":"Upscaler tile size","localized":"","hint":"0 = no tiling"},
{"id":"","label":"Upscaler tile overlap","localized":"","hint":"Low values = visible seam"},
{"id":"","label":"GFPGAN","localized":"","hint":"Restore low quality faces using GFPGAN neural network"},
{"id":"","label":"CodeFormer weight parameter","localized":"","hint":"0 = maximum effect; 1 = minimum effect"},
{"id":"","label":"ToMe token merging ratio","localized":"","hint":"Enable redundant token merging via tomesd for speed and memory improvements, 0=disabled"},
{"id":"","label":"Todo token merging ratio","localized":"","hint":"Enable redundant token merging via todo for speed and memory improvements, 0=disabled"},
{"id":"","label":"Model pipeline","localized":"","hint":"If autodetect does not detect model automatically, select model type before loading a model"},
{"id":"","label":"VAE slicing","localized":"","hint":"Decodes batch latents one image at a time with limited VRAM. Small performance boost in VAE decode on multi-image batches"},
{"id":"","label":"VAE tiling","localized":"","hint":"Divide large images into overlapping tiles with limited VRAM. Results in a minor increase in processing time"},
{"id":"","label":"Dynamic attention BMM","localized":"","hint":"Performs attention computation in steps instead of all at once. Slower inference times, but greatly reduced memory usage"},
{"id":"","label":"ONNX Execution Provider","localized":"","hint":"ONNX Execution Provider"},
{"id":"","label":"ONNX allow fallback to CPU","localized":"","hint":"Allow fallback to CPU when selected execution provider failed"},
{"id":"","label":"ONNX cache converted models","localized":"","hint":"Save the models that are converted to ONNX format as a cache. You can manage them in ONNX tab"},
{"id":"","label":"ONNX unload base model when processing refiner","localized":"","hint":"Unload base model when the refiner is being converted/optimized/processed"},
{"id":"","label":"inference-mode","localized":"","hint":"Use torch.inference_mode"},
{"id":"","label":"no-grad","localized":"","hint":"Use torch.no_grad"},
{"id":"","label":"model compile precompile","localized":"","hint":"Run model compile immediately on model load instead of first use"},
{"id":"","label":"Use zeros for prompt padding","localized":"","hint":"Force full zero tensor when prompt is empty to remove any residual noise"},
{"id":"","label":"Include invisible watermark","localized":"","hint":"Add invisible watermark to image by altering some pixel values"},
{"id":"","label":"invisible watermark string","localized":"","hint":"Watermark string to add to image. Keep very short to avoid image corruption."},
{"id":"","label":"show log view","localized":"","hint":"Show log view at the bottom of the main window"},
{"id":"","label":"Log view update period","localized":"","hint":"Log view update period, in milliseconds"},
{"id":"","label":"PAG layer names","localized":"","hint":"Space separated list of layers<br>Available: d[0-5], m[0], u[0-8]<br>Default: m0"}
],
"missing": [
{"id":"","label":"1 day","localized":"","hint":"1 day"},
{"id":"","label":"14 days","localized":"","hint":"14 days"},
{"id":"","label":"1st stage","localized":"","hint":"1st stage"},
{"id":"","label":"1st stage backbone","localized":"","hint":"1st stage backbone"},
{"id":"","label":"1st stage skip","localized":"","hint":"1st stage skip"},
{"id":"","label":"2nd restart step","localized":"","hint":"2nd restart step"},
{"id":"","label":"2nd scale","localized":"","hint":"2nd scale"},
{"id":"","label":"2nd stage","localized":"","hint":"2nd stage"},
{"id":"","label":"2nd stage backbone","localized":"","hint":"2nd stage backbone"},
{"id":"","label":"2nd stage skip","localized":"","hint":"2nd stage skip"},
{"id":"","label":"3 days","localized":"","hint":"3 days"},
{"id":"","label":"30 days","localized":"","hint":"30 days"},
{"id":"","label":"3rd restart step","localized":"","hint":"3rd restart step"},
{"id":"","label":"3rd scale","localized":"","hint":"3rd scale"},
{"id":"","label":"3rd stage","localized":"","hint":"3rd stage"},
{"id":"","label":"4th restart step","localized":"","hint":"4th restart step"},
{"id":"","label":"4th scale","localized":"","hint":"4th scale"},
{"id":"","label":"4th stage","localized":"","hint":"4th stage"},
{"id":"","label":"7 days","localized":"","hint":"7 days"},
{"id":"","label":"90 days","localized":"","hint":"90 days"},
{"id":"","label":"a1111","localized":"","hint":"a1111"},
{"id":"","label":"accuracy","localized":"","hint":"accuracy"},
{"id":"","label":"active","localized":"","hint":"active"},
{"id":"","label":"adain","localized":"","hint":"adain"},
{"id":"","label":"adapter 1","localized":"","hint":"adapter 1"},
{"id":"","label":"adapter 2","localized":"","hint":"adapter 2"},
{"id":"","label":"adapter 3","localized":"","hint":"adapter 3"},
{"id":"","label":"adapter 4","localized":"","hint":"adapter 4"},
{"id":"","label":"adaptive restore","localized":"","hint":"adaptive restore"},
{"id":"","label":"add text info","localized":"","hint":"add text info"},
{"id":"","label":"add time info","localized":"","hint":"add time info"},
{"id":"","label":"additional image browser folders","localized":"","hint":"additional image browser folders"},
{"id":"","label":"additional postprocessing operations","localized":"","hint":"additional postprocessing operations"},
{"id":"","label":"after","localized":"","hint":"after"},
{"id":"","label":"aggressive at step","localized":"","hint":"aggressive at step"},
{"id":"","label":"alias","localized":"","hint":"alias"},
{"id":"","label":"all","localized":"","hint":"all"},
{"id":"","label":"allowed aspect ratios","localized":"","hint":"allowed aspect ratios"},
{"id":"","label":"alpha","localized":"","hint":"alpha"},
{"id":"","label":"alpha block weight preset","localized":"","hint":"alpha block weight preset"},
{"id":"","label":"alpha matting","localized":"","hint":"alpha matting"},
{"id":"","label":"alpha preset","localized":"","hint":"alpha preset"},
{"id":"","label":"alpha ratio","localized":"","hint":"alpha ratio"},
{"id":"","label":"alt","localized":"","hint":"alt"},
{"id":"","label":"amplify lut","localized":"","hint":"amplify lut"},
{"id":"","label":"analyze","localized":"","hint":"analyze"},
{"id":"","label":"anchor settings","localized":"","hint":"anchor settings"},
{"id":"","label":"animateddiff","localized":"","hint":"animateddiff"},
{"id":"","label":"answer","localized":"","hint":"answer"},
{"id":"","label":"aot_ts_nvfuser","localized":"","hint":"aot_ts_nvfuser"},
{"id":"","label":"appearance","localized":"","hint":"appearance"},
{"id":"","label":"append image info json file","localized":"","hint":"append image info json file"},
{"id":"","label":"append interrogated prompt at each iteration","localized":"","hint":"append interrogated prompt at each iteration"},
{"id":"","label":"append to main ui","localized":"","hint":"append to main ui"},
{"id":"","label":"apply color correction","localized":"","hint":"apply color correction"},
{"id":"","label":"apply filter","localized":"","hint":"apply filter"},
{"id":"","label":"apply linfusion distillation on load","localized":"","hint":"apply linfusion distillation on load"},
{"id":"","label":"apply mask as overlay","localized":"","hint":"apply mask as overlay"},
{"id":"","label":"apply msw-msa","localized":"","hint":"apply msw-msa"},
{"id":"","label":"apply rau-net","localized":"","hint":"apply rau-net"},
{"id":"","label":"apply to model","localized":"","hint":"apply to model"},
{"id":"","label":"artists","localized":"","hint":"artists"},
{"id":"","label":"as a tab","localized":"","hint":"as a tab"},
{"id":"","label":"atiadlxx (amd only)","localized":"","hint":"atiadlxx (amd only)"},
{"id":"","label":"attention","localized":"","hint":"attention"},
{"id":"","label":"attention adain","localized":"","hint":"attention adain"},
{"id":"","label":"attention cache enabled","localized":"","hint":"attention cache enabled"},
{"id":"","label":"attention chunking threshold","localized":"","hint":"attention chunking threshold"},
{"id":"","label":"attention kv chunk size","localized":"","hint":"attention kv chunk size"},
{"id":"","label":"attention query chunk size","localized":"","hint":"attention query chunk size"},
{"id":"","label":"auto","localized":"","hint":"auto"},
{"id":"","label":"auto apply","localized":"","hint":"auto apply"},
{"id":"","label":"auto requeue failed tasks","localized":"","hint":"auto requeue failed tasks"},
{"id":"","label":"auto-convert sd15 embeddings to sdxl","localized":"","hint":"auto-convert sd15 embeddings to sdxl"},
{"id":"","label":"auto-mask","localized":"","hint":"auto-mask"},
{"id":"","label":"auto-segment","localized":"","hint":"auto-segment"},
{"id":"","label":"autolaunch browser upon startup","localized":"","hint":"autolaunch browser upon startup"},
{"id":"","label":"automatically determine rank","localized":"","hint":"automatically determine rank"},
{"id":"","label":"autorank ratio","localized":"","hint":"autorank ratio"},
{"id":"","label":"available networks","localized":"","hint":"available networks"},
{"id":"","label":"backend","localized":"","hint":"backend"},
{"id":"","label":"backend storage","localized":"","hint":"backend storage"},
{"id":"","label":"background threshold","localized":"","hint":"background threshold"},
{"id":"","label":"balanced","localized":"","hint":"balanced"},
{"id":"","label":"balanced offload cpu high watermark","localized":"","hint":"balanced offload cpu high watermark"},
{"id":"","label":"balanced offload gpu high watermark","localized":"","hint":"balanced offload gpu high watermark"},
{"id":"","label":"balanced offload gpu low watermark","localized":"","hint":"balanced offload gpu low watermark"},
{"id":"","label":"base","localized":"","hint":"base"},
{"id":"","label":"batch input directory","localized":"","hint":"batch input directory"},
{"id":"","label":"batch mask directory","localized":"","hint":"batch mask directory"},
{"id":"","label":"batch matrix-matrix","localized":"","hint":"batch matrix-matrix"},
{"id":"","label":"batch mode uses sequential seeds","localized":"","hint":"batch mode uses sequential seeds"},
{"id":"","label":"batch output directory","localized":"","hint":"batch output directory"},
{"id":"","label":"batch uses original name","localized":"","hint":"batch uses original name"},
{"id":"","label":"bdia ddim","localized":"","hint":"bdia ddim"},
{"id":"","label":"before","localized":"","hint":"before"},
{"id":"","label":"benchmark level","localized":"","hint":"benchmark level"},
{"id":"","label":"benchmark steps","localized":"","hint":"benchmark steps"},
{"id":"","label":"beta block weight preset","localized":"","hint":"beta block weight preset"},
{"id":"","label":"beta end","localized":"","hint":"beta end"},
{"id":"","label":"beta ratio","localized":"","hint":"beta ratio"},
{"id":"","label":"beta schedule","localized":"","hint":"beta schedule"},
{"id":"","label":"beta start","localized":"","hint":"beta start"},
{"id":"","label":"between prompt and generate button","localized":"","hint":"between prompt and generate button"},
{"id":"","label":"bh1","localized":"","hint":"bh1"},
{"id":"","label":"bh2","localized":"","hint":"bh2"},
{"id":"","label":"block","localized":"","hint":"block"},
{"id":"","label":"block skip range","localized":"","hint":"block skip range"},
{"id":"","label":"blur","localized":"","hint":"blur"},
{"id":"","label":"body","localized":"","hint":"body"},
{"id":"","label":"boost","localized":"","hint":"boost"},
{"id":"","label":"brightness","localized":"","hint":"brightness"},
{"id":"","label":"cache model","localized":"","hint":"cache model"},
{"id":"","label":"cache text encoder results","localized":"","hint":"cache text encoder results"},
{"id":"","label":"canny","localized":"","hint":"canny"},
{"id":"","label":"caption model","localized":"","hint":"caption model"},
{"id":"","label":"center","localized":"","hint":"center"},
{"id":"","label":"change log","localized":"","hint":"change log"},
{"id":"","label":"change model","localized":"","hint":"change model"},
{"id":"","label":"change rate","localized":"","hint":"change rate"},
{"id":"","label":"change reference","localized":"","hint":"change reference"},
{"id":"","label":"change refiner","localized":"","hint":"change refiner"},
{"id":"","label":"change vae","localized":"","hint":"change vae"},
{"id":"","label":"channels last","localized":"","hint":"channels last"},
{"id":"","label":"check alternative hash","localized":"","hint":"check alternative hash"},
{"id":"","label":"check for updates","localized":"","hint":"check for updates"},
{"id":"","label":"check status","localized":"","hint":"check status"},
{"id":"","label":"chunk size","localized":"","hint":"chunk size"},
{"id":"","label":"civitai","localized":"","hint":"civitai"},
{"id":"","label":"civitai model type","localized":"","hint":"civitai model type"},
{"id":"","label":"civitai token","localized":"","hint":"civitai token"},
{"id":"","label":"ckpt","localized":"","hint":"ckpt"},
{"id":"","label":"cleanup temporary folder on startup","localized":"","hint":"cleanup temporary folder on startup"},
{"id":"","label":"clip batch model","localized":"","hint":"clip batch model"},
{"id":"","label":"clip model","localized":"","hint":"clip model"},
{"id":"","label":"clip: default captioner","localized":"","hint":"clip: default captioner"},
{"id":"","label":"clip: default mode","localized":"","hint":"clip: default mode"},
{"id":"","label":"clip: default model","localized":"","hint":"clip: default model"},
{"id":"","label":"clip: include scores in results","localized":"","hint":"clip: include scores in results"},
{"id":"","label":"clip: max flavors","localized":"","hint":"clip: max flavors"},
{"id":"","label":"clip: max length","localized":"","hint":"clip: max length"},
{"id":"","label":"clip: min flavors","localized":"","hint":"clip: min flavors"},
{"id":"","label":"clip: min length","localized":"","hint":"clip: min length"},
{"id":"","label":"clip: num beams","localized":"","hint":"clip: num beams"},
{"id":"","label":"close","localized":"","hint":"close"},
{"id":"","label":"cmsi","localized":"","hint":"cmsi"},
{"id":"","label":"cn end","localized":"","hint":"cn end"},
{"id":"","label":"cn mode","localized":"","hint":"cn mode"},
{"id":"","label":"cn start","localized":"","hint":"cn start"},
{"id":"","label":"cn strength","localized":"","hint":"cn strength"},
{"id":"","label":"cn tiles","localized":"","hint":"cn tiles"},
{"id":"","label":"coarse","localized":"","hint":"coarse"},
{"id":"","label":"codeformer","localized":"","hint":"codeformer"},
{"id":"","label":"color","localized":"","hint":"color"},
{"id":"","label":"color grading","localized":"","hint":"color grading"},
{"id":"","label":"color map","localized":"","hint":"color map"},
{"id":"","label":"color variation","localized":"","hint":"color variation"},
{"id":"","label":"colormap","localized":"","hint":"colormap"},
{"id":"","label":"columns","localized":"","hint":"columns"},
{"id":"","label":"comma","localized":"","hint":"comma"},
{"id":"","label":"comma separated list with optional strength per lora","localized":"","hint":"comma separated list with optional strength per lora"},
{"id":"","label":"compact view","localized":"","hint":"compact view"},
{"id":"","label":"compel","localized":"","hint":"compel"},
{"id":"","label":"composite","localized":"","hint":"composite"},
{"id":"","label":"compress ratio","localized":"","hint":"compress ratio"},
{"id":"","label":"concept tokens","localized":"","hint":"concept tokens"},
{"id":"","label":"context","localized":"","hint":"context"},
{"id":"","label":"context after","localized":"","hint":"context after"},
{"id":"","label":"context before","localized":"","hint":"context before"},
{"id":"","label":"context mask","localized":"","hint":"context mask"},
{"id":"","label":"contrast","localized":"","hint":"contrast"},
{"id":"","label":"control factor","localized":"","hint":"control factor"},
{"id":"","label":"control override denoise strength","localized":"","hint":"control override denoise strength"},
{"id":"","label":"control preprocess input images","localized":"","hint":"control preprocess input images"},
{"id":"","label":"control-lllite unit 1","localized":"","hint":"control-lllite unit 1"},
{"id":"","label":"control-lllite unit 2","localized":"","hint":"control-lllite unit 2"},
{"id":"","label":"control-lllite unit 3","localized":"","hint":"control-lllite unit 3"},
{"id":"","label":"control-lllite unit 4","localized":"","hint":"control-lllite unit 4"},
{"id":"","label":"controlnet","localized":"","hint":"controlnet"},
{"id":"","label":"controlnet unit 1","localized":"","hint":"controlnet unit 1"},
{"id":"","label":"controlnet unit 2","localized":"","hint":"controlnet unit 2"},
{"id":"","label":"controlnet unit 3","localized":"","hint":"controlnet unit 3"},
{"id":"","label":"controlnet unit 4","localized":"","hint":"controlnet unit 4"},
{"id":"","label":"controlnet-xs","localized":"","hint":"controlnet-xs"},
{"id":"","label":"controlnet-xs unit 1","localized":"","hint":"controlnet-xs unit 1"},
{"id":"","label":"controlnet-xs unit 2","localized":"","hint":"controlnet-xs unit 2"},
{"id":"","label":"controlnet-xs unit 3","localized":"","hint":"controlnet-xs unit 3"},
{"id":"","label":"controlnet-xs unit 4","localized":"","hint":"controlnet-xs unit 4"},
{"id":"","label":"correction mode","localized":"","hint":"correction mode"},
{"id":"","label":"cosine background","localized":"","hint":"cosine background"},
{"id":"","label":"cosine scale","localized":"","hint":"cosine scale"},
{"id":"","label":"cosine scale 1","localized":"","hint":"cosine scale 1"},
{"id":"","label":"cosine scale 2","localized":"","hint":"cosine scale 2"},
{"id":"","label":"cosine scale 3","localized":"","hint":"cosine scale 3"},
{"id":"","label":"create image info text file","localized":"","hint":"create image info text file"},
{"id":"","label":"create video","localized":"","hint":"create video"},
{"id":"","label":"create zip archive","localized":"","hint":"create zip archive"},
{"id":"","label":"cross-attention","localized":"","hint":"cross-attention"},
{"id":"","label":"ctrl","localized":"","hint":"ctrl"},
{"id":"","label":"cudagraphs","localized":"","hint":"cudagraphs"},
{"id":"","label":"cudamallocasync","localized":"","hint":"cudamallocasync"},
{"id":"","label":"current","localized":"","hint":"current"},
{"id":"","label":"custom pipeline","localized":"","hint":"custom pipeline"},
{"id":"","label":"dark","localized":"","hint":"dark"},
{"id":"","label":"dc solver","localized":"","hint":"dc solver"},
{"id":"","label":"ddpm","localized":"","hint":"ddpm"},
{"id":"","label":"debug info","localized":"","hint":"debug info"},
{"id":"","label":"decode","localized":"","hint":"decode"},
{"id":"","label":"decode chunks","localized":"","hint":"decode chunks"},
{"id":"","label":"deep-cache","localized":"","hint":"deep-cache"},
{"id":"","label":"deepbooru","localized":"","hint":"deepbooru"},
{"id":"","label":"deepbooru: escape brackets","localized":"","hint":"deepbooru: escape brackets"},
{"id":"","label":"deepbooru: exclude tags","localized":"","hint":"deepbooru: exclude tags"},
{"id":"","label":"deepbooru: include scores in results","localized":"","hint":"deepbooru: include scores in results"},
{"id":"","label":"deepbooru: max tags","localized":"","hint":"deepbooru: max tags"},
{"id":"","label":"deepbooru: score threshold","localized":"","hint":"deepbooru: score threshold"},
{"id":"","label":"deepbooru: sort alphabetically","localized":"","hint":"deepbooru: sort alphabetically"},
{"id":"","label":"deepbooru: use spaces for tags","localized":"","hint":"deepbooru: use spaces for tags"},
{"id":"","label":"deepcache cache interval","localized":"","hint":"deepcache cache interval"},
{"id":"","label":"default","localized":"","hint":"default"},
{"id":"","label":"deis","localized":"","hint":"deis"},
{"id":"","label":"denoising batch size","localized":"","hint":"denoising batch size"},
{"id":"","label":"denoising steps","localized":"","hint":"denoising steps"},
{"id":"","label":"depth and normal","localized":"","hint":"depth and normal"},
{"id":"","label":"depth anything","localized":"","hint":"depth anything"},
{"id":"","label":"depth map","localized":"","hint":"depth map"},
{"id":"","label":"depth threshold","localized":"","hint":"depth threshold"},
{"id":"","label":"description","localized":"","hint":"description"},
{"id":"","label":"details","localized":"","hint":"details"},
{"id":"","label":"deterministic mode","localized":"","hint":"deterministic mode"},
{"id":"","label":"device info","localized":"","hint":"device info"},
{"id":"","label":"diffusers","localized":"","hint":"diffusers"},
{"id":"","label":"dilate","localized":"","hint":"dilate"},
{"id":"","label":"dilate tau","localized":"","hint":"dilate tau"},
{"id":"","label":"directml retry ops for nan","localized":"","hint":"directml retry ops for nan"},
{"id":"","label":"directory for temporary images; leave empty for default","localized":"","hint":"directory for temporary images; leave empty for default"},
{"id":"","label":"disable accelerate","localized":"","hint":"disable accelerate"},
{"id":"","label":"disable conditional batching","localized":"","hint":"disable conditional batching"},
{"id":"","label":"disable keyboard shortcut","localized":"","hint":"disable keyboard shortcut"},
{"id":"","label":"disable queue auto-processing","localized":"","hint":"disable queue auto-processing"},
{"id":"","label":"disabled","localized":"","hint":"disabled"},
{"id":"","label":"discard penultimate sigma","localized":"","hint":"discard penultimate sigma"},
{"id":"","label":"distance threshold","localized":"","hint":"distance threshold"},
{"id":"","label":"do not change selected model when reading generation parameters","localized":"","hint":"do not change selected model when reading generation parameters"},
{"id":"","label":"do not display video output in ui","localized":"","hint":"do not display video output in ui"},
{"id":"","label":"do nothing","localized":"","hint":"do nothing"},
{"id":"","label":"down","localized":"","hint":"down"},
{"id":"","label":"download","localized":"","hint":"download"},
{"id":"","label":"download model","localized":"","hint":"download model"},
{"id":"","label":"download path","localized":"","hint":"download path"},
{"id":"","label":"download updates","localized":"","hint":"download updates"},
{"id":"","label":"downscale high resolution live previews","localized":"","hint":"downscale high resolution live previews"},
{"id":"","label":"dpm sde","localized":"","hint":"dpm sde"},
{"id":"","label":"dpm++","localized":"","hint":"dpm++"},
{"id":"","label":"dpm++ 1s","localized":"","hint":"dpm++ 1s"},
{"id":"","label":"dpm++ 1s inverse","localized":"","hint":"dpm++ 1s inverse"},
{"id":"","label":"dpm++ 2m","localized":"","hint":"dpm++ 2m"},
{"id":"","label":"dpm++ 2m edm","localized":"","hint":"dpm++ 2m edm"},
{"id":"","label":"dpm++ 2m inverse","localized":"","hint":"dpm++ 2m inverse"},
{"id":"","label":"dpm++ 2m sde","localized":"","hint":"dpm++ 2m sde"},
{"id":"","label":"dpm++ 3m","localized":"","hint":"dpm++ 3m"},
{"id":"","label":"dpm++ 3m inverse","localized":"","hint":"dpm++ 3m inverse"},
{"id":"","label":"dpm++ cosine","localized":"","hint":"dpm++ cosine"},
{"id":"","label":"dpm2 flowmatch","localized":"","hint":"dpm2 flowmatch"},
{"id":"","label":"dpm2++ 2m flowmatch","localized":"","hint":"dpm2++ 2m flowmatch"},
{"id":"","label":"dpm2++ 2m sde flowmatch","localized":"","hint":"dpm2++ 2m sde flowmatch"},
{"id":"","label":"dpm2++ 2s flowmatch","localized":"","hint":"dpm2++ 2s flowmatch"},
{"id":"","label":"dpm2++ 3m sde flowmatch","localized":"","hint":"dpm2++ 3m sde flowmatch"},
{"id":"","label":"dpm2++ sde flowmatch","localized":"","hint":"dpm2++ sde flowmatch"},
{"id":"","label":"dpm2a flowmatch","localized":"","hint":"dpm2a flowmatch"},
{"id":"","label":"draw legend","localized":"","hint":"draw legend"},
{"id":"","label":"dropdown","localized":"","hint":"dropdown"},
{"id":"","label":"duration","localized":"","hint":"duration"},
{"id":"","label":"dwpose","localized":"","hint":"dwpose"},
{"id":"","label":"dynamic","localized":"","hint":"dynamic"},
{"id":"","label":"dynamic attention","localized":"","hint":"dynamic attention"},
{"id":"","label":"dynamic attention slicing rate in gb","localized":"","hint":"dynamic attention slicing rate in gb"},
{"id":"","label":"dynamic attention trigger rate in gb","localized":"","hint":"dynamic attention trigger rate in gb"},
{"id":"","label":"edge","localized":"","hint":"edge"},
{"id":"","label":"edit start","localized":"","hint":"edit start"},
{"id":"","label":"edit stop","localized":"","hint":"edit stop"},
{"id":"","label":"embedded metadata","localized":"","hint":"embedded metadata"},
{"id":"","label":"enable embeddings support","localized":"","hint":"enable embeddings support"},
{"id":"","label":"enable file wildcards support","localized":"","hint":"enable file wildcards support"},
{"id":"","label":"enable freeu","localized":"","hint":"enable freeu"},
{"id":"","label":"enable teacache","localized":"","hint":"enable teacache"},
{"id":"","label":"enable tonemap","localized":"","hint":"enable tonemap"},
{"id":"","label":"enable use of reference models","localized":"","hint":"enable use of reference models"},
{"id":"","label":"enabled","localized":"","hint":"enabled"},
{"id":"","label":"encoder","localized":"","hint":"encoder"},
{"id":"","label":"end","localized":"","hint":"end"},
{"id":"","label":"enhance prompt","localized":"","hint":"enhance prompt"},
{"id":"","label":"enqueue keyboard shortcut","localized":"","hint":"enqueue keyboard shortcut"},
{"id":"","label":"ensemble size","localized":"","hint":"ensemble size"},
{"id":"","label":"epsilon","localized":"","hint":"epsilon"},
{"id":"","label":"erode","localized":"","hint":"erode"},
{"id":"","label":"erode size","localized":"","hint":"erode size"},
{"id":"","label":"eta","localized":"","hint":"eta"},
{"id":"","label":"euler","localized":"","hint":"euler"},
{"id":"","label":"euler edm","localized":"","hint":"euler edm"},
{"id":"","label":"euler flowmatch","localized":"","hint":"euler flowmatch"},
{"id":"","label":"euler sgm","localized":"","hint":"euler sgm"},
{"id":"","label":"executionprovider.cpu","localized":"","hint":"executionprovider.cpu"},
{"id":"","label":"executionprovider.cuda","localized":"","hint":"executionprovider.cuda"},
{"id":"","label":"executionprovider.directml","localized":"","hint":"executionprovider.directml"},
{"id":"","label":"executionprovider.migraphx","localized":"","hint":"executionprovider.migraphx"},
{"id":"","label":"executionprovider.openvino","localized":"","hint":"executionprovider.openvino"},
{"id":"","label":"executionprovider.rocm","localized":"","hint":"executionprovider.rocm"},
{"id":"","label":"expandable segments","localized":"","hint":"expandable segments"},
{"id":"","label":"exponential","localized":"","hint":"exponential"},
{"id":"","label":"export","localized":"","hint":"export"},
{"id":"","label":"exposure","localized":"","hint":"exposure"},
{"id":"","label":"extra noise multiplier for img2img","localized":"","hint":"extra noise multiplier for img2img"},
{"id":"","label":"extract lora","localized":"","hint":"extract lora"},
{"id":"","label":"face","localized":"","hint":"face"},
{"id":"","label":"face confidence","localized":"","hint":"face confidence"},
{"id":"","label":"faceid model","localized":"","hint":"faceid model"},
{"id":"","label":"fall-off exponent (lower=higher detail)","localized":"","hint":"fall-off exponent (lower=higher detail)"},
{"id":"","label":"false","localized":"","hint":"false"},
{"id":"","label":"fast","localized":"","hint":"fast"},
{"id":"","label":"file or folder with user-defined styles","localized":"","hint":"file or folder with user-defined styles"},
{"id":"","label":"filename","localized":"","hint":"filename"},
{"id":"","label":"first-block cache enabled","localized":"","hint":"first-block cache enabled"},
{"id":"","label":"fixed unet precision","localized":"","hint":"fixed unet precision"},
{"id":"","label":"flash attention","localized":"","hint":"flash attention"},
{"id":"","label":"flavors","localized":"","hint":"flavors"},
{"id":"","label":"flow shift","localized":"","hint":"flow shift"},
{"id":"","label":"folder","localized":"","hint":"folder"},
{"id":"","label":"folder for control generate","localized":"","hint":"folder for control generate"},
{"id":"","label":"folder for control grids","localized":"","hint":"folder for control grids"},
{"id":"","label":"folder for disk offload","localized":"","hint":"folder for disk offload"},
{"id":"","label":"folder for huggingface cache","localized":"","hint":"folder for huggingface cache"},
{"id":"","label":"folder for image generate","localized":"","hint":"folder for image generate"},
{"id":"","label":"folder for img2img grids","localized":"","hint":"folder for img2img grids"},
{"id":"","label":"folder for init images","localized":"","hint":"folder for init images"},
{"id":"","label":"folder for manually saved images","localized":"","hint":"folder for manually saved images"},
{"id":"","label":"folder for onnx cached models","localized":"","hint":"folder for onnx cached models"},
{"id":"","label":"folder for onnx conversion","localized":"","hint":"folder for onnx conversion"},
{"id":"","label":"folder for openvino cache","localized":"","hint":"folder for openvino cache"},
{"id":"","label":"folder for processed images","localized":"","hint":"folder for processed images"},
{"id":"","label":"folder for text generate","localized":"","hint":"folder for text generate"},
{"id":"","label":"folder for tunable ops cache","localized":"","hint":"folder for tunable ops cache"},
{"id":"","label":"folder for txt2img grids","localized":"","hint":"folder for txt2img grids"},
{"id":"","label":"folder for videos","localized":"","hint":"folder for videos"},
{"id":"","label":"folder with bsrgan models","localized":"","hint":"folder with bsrgan models"},
{"id":"","label":"folder with chainner models","localized":"","hint":"folder with chainner models"},
{"id":"","label":"folder with clip models","localized":"","hint":"folder with clip models"},
{"id":"","label":"folder with codeformer models","localized":"","hint":"folder with codeformer models"},
{"id":"","label":"folder with control models","localized":"","hint":"folder with control models"},
{"id":"","label":"folder with esrgan models","localized":"","hint":"folder with esrgan models"},
{"id":"","label":"folder with gfpgan models","localized":"","hint":"folder with gfpgan models"},
{"id":"","label":"folder with huggingface models","localized":"","hint":"folder with huggingface models"},
{"id":"","label":"folder with hypernetwork models","localized":"","hint":"folder with hypernetwork models"},
{"id":"","label":"folder with ldsr models","localized":"","hint":"folder with ldsr models"},
{"id":"","label":"folder with lora network(s)","localized":"","hint":"folder with lora network(s)"},
{"id":"","label":"folder with realesrgan models","localized":"","hint":"folder with realesrgan models"},
{"id":"","label":"folder with scunet models","localized":"","hint":"folder with scunet models"},
{"id":"","label":"folder with stable diffusion models","localized":"","hint":"folder with stable diffusion models"},
{"id":"","label":"folder with swinir models","localized":"","hint":"folder with swinir models"},
{"id":"","label":"folder with text encoder files","localized":"","hint":"folder with text encoder files"},
{"id":"","label":"folder with textual inversion embeddings","localized":"","hint":"folder with textual inversion embeddings"},
{"id":"","label":"folder with unet files","localized":"","hint":"folder with unet files"},
{"id":"","label":"folder with user-defined wildcards","localized":"","hint":"folder with user-defined wildcards"},
{"id":"","label":"folder with vae files","localized":"","hint":"folder with vae files"},
{"id":"","label":"folder with yolo models","localized":"","hint":"folder with yolo models"},
{"id":"","label":"font color","localized":"","hint":"font color"},
{"id":"","label":"font file","localized":"","hint":"font file"},
{"id":"","label":"font size","localized":"","hint":"font size"},
{"id":"","label":"force model eval","localized":"","hint":"force model eval"},
{"id":"","label":"foreground threshold","localized":"","hint":"foreground threshold"},
{"id":"","label":"fp4","localized":"","hint":"fp4"},
{"id":"","label":"frame change sensitivity","localized":"","hint":"frame change sensitivity"},
{"id":"","label":"frames","localized":"","hint":"frames"},
{"id":"","label":"freeinit","localized":"","hint":"freeinit"},
{"id":"","label":"freeu enabled","localized":"","hint":"freeu enabled"},
{"id":"","label":"freeu preset","localized":"","hint":"freeu preset"},
{"id":"","label":"full vae","localized":"","hint":"full vae"},
{"id":"","label":"full-depth cudnn benchmark","localized":"","hint":"full-depth cudnn benchmark"},
{"id":"","label":"fuse strength","localized":"","hint":"fuse strength"},
{"id":"","label":"fused projections","localized":"","hint":"fused projections"},
{"id":"","label":"gamma","localized":"","hint":"gamma"},
{"id":"","label":"gamma corrected","localized":"","hint":"gamma corrected"},
{"id":"","label":"gate step","localized":"","hint":"gate step"},
{"id":"","label":"gc threshold","localized":"","hint":"gc threshold"},
{"id":"","label":"generation info","localized":"","hint":"generation info"},
{"id":"","label":"get changelog","localized":"","hint":"get changelog"},
{"id":"","label":"gpu","localized":"","hint":"gpu"},
{"id":"","label":"gradient","localized":"","hint":"gradient"},
{"id":"","label":"grid background color","localized":"","hint":"grid background color"},
{"id":"","label":"grid margins","localized":"","hint":"grid margins"},
{"id":"","label":"grid sections:","localized":"","hint":"grid sections:"},
{"id":"","label":"group size","localized":"","hint":"group size"},
{"id":"","label":"guidance","localized":"","hint":"guidance"},
{"id":"","label":"guidance start","localized":"","hint":"guidance start"},
{"id":"","label":"guidance stop","localized":"","hint":"guidance stop"},
{"id":"","label":"guidance strength","localized":"","hint":"guidance strength"},
{"id":"","label":"hands","localized":"","hint":"hands"},
{"id":"","label":"hdr range","localized":"","hint":"hdr range"},
{"id":"","label":"hed","localized":"","hint":"hed"},
{"id":"","label":"height after","localized":"","hint":"height after"},
{"id":"","label":"height before","localized":"","hint":"height before"},
{"id":"","label":"height mask","localized":"","hint":"height mask"},
{"id":"","label":"heun","localized":"","hint":"heun"},
{"id":"","label":"heun flowmatch","localized":"","hint":"heun flowmatch"},
{"id":"","label":"hibernate","localized":"","hint":"hibernate"},
{"id":"","label":"hide the custom checkpoint dropdown","localized":"","hint":"hide the custom checkpoint dropdown"},
{"id":"","label":"hidet","localized":"","hint":"hidet"},
{"id":"","label":"high threshold","localized":"","hint":"high threshold"},
{"id":"","label":"hires pass only","localized":"","hint":"hires pass only"},
{"id":"","label":"hq init latents","localized":"","hint":"hq init latents"},
{"id":"","label":"hue","localized":"","hint":"hue"},
{"id":"","label":"huggingface mirror","localized":"","hint":"huggingface mirror"},
{"id":"","label":"huggingface token","localized":"","hint":"huggingface token"},
{"id":"","label":"hunyuan","localized":"","hint":"hunyuan"},
{"id":"","label":"il","localized":"","hint":"il"},
{"id":"","label":"image height","localized":"","hint":"image height"},
{"id":"","label":"image quality","localized":"","hint":"image quality"},
{"id":"","label":"image transparent color fill","localized":"","hint":"image transparent color fill"},
{"id":"","label":"image watermark file","localized":"","hint":"image watermark file"},
{"id":"","label":"image watermark position","localized":"","hint":"image watermark position"},
{"id":"","label":"image width","localized":"","hint":"image width"},
{"id":"","label":"import","localized":"","hint":"import"},
{"id":"","label":"include images","localized":"","hint":"include images"},
{"id":"","label":"include main grid","localized":"","hint":"include main grid"},
{"id":"","label":"include mask in outputs","localized":"","hint":"include mask in outputs"},
{"id":"","label":"include original image","localized":"","hint":"include original image"},
{"id":"","label":"include sub grids","localized":"","hint":"include sub grids"},
{"id":"","label":"inductor","localized":"","hint":"inductor"},
{"id":"","label":"info","localized":"","hint":"info"},
{"id":"","label":"info object","localized":"","hint":"info object"},
{"id":"","label":"inpaint","localized":"","hint":"inpaint"},
{"id":"","label":"inpaint masked only","localized":"","hint":"inpaint masked only"},
{"id":"","label":"inpainting include greyscale mask in results","localized":"","hint":"inpainting include greyscale mask in results"},
{"id":"","label":"inpainting include masked composite in results","localized":"","hint":"inpainting include masked composite in results"},
{"id":"","label":"input model","localized":"","hint":"input model"},
{"id":"","label":"intermediates","localized":"","hint":"intermediates"},
{"id":"","label":"interpolate frames","localized":"","hint":"interpolate frames"},
{"id":"","label":"interpolation method","localized":"","hint":"interpolation method"},
{"id":"","label":"interrogate batch","localized":"","hint":"interrogate batch"},
{"id":"","label":"interrogate image","localized":"","hint":"interrogate image"},
{"id":"","label":"interrogate: offload models","localized":"","hint":"interrogate: offload models"},
{"id":"","label":"invert","localized":"","hint":"invert"},
{"id":"","label":"invert mask","localized":"","hint":"invert mask"},
{"id":"","label":"iou","localized":"","hint":"iou"},
{"id":"","label":"ipex","localized":"","hint":"ipex"},
{"id":"","label":"ipndm","localized":"","hint":"ipndm"},
{"id":"","label":"item edge blur","localized":"","hint":"item edge blur"},
{"id":"","label":"item padding","localized":"","hint":"item padding"},
{"id":"","label":"iterate seed per line","localized":"","hint":"iterate seed per line"},
{"id":"","label":"iterations","localized":"","hint":"iterations"},
{"id":"","label":"karras","localized":"","hint":"karras"},
{"id":"","label":"kdpm2","localized":"","hint":"kdpm2"},
{"id":"","label":"kdpm2 a","localized":"","hint":"kdpm2 a"},
{"id":"","label":"keep forever","localized":"","hint":"keep forever"},
{"id":"","label":"keep incomplete images","localized":"","hint":"keep incomplete images"},
{"id":"","label":"key","localized":"","hint":"key"},
{"id":"","label":"large","localized":"","hint":"large"},
{"id":"","label":"latent history size","localized":"","hint":"latent history size"},
{"id":"","label":"latent mode","localized":"","hint":"latent mode"},
{"id":"","label":"layer scales","localized":"","hint":"layer scales"},
{"id":"","label":"layerwise casting storage","localized":"","hint":"layerwise casting storage"},
{"id":"","label":"layerwise non-blocking operations","localized":"","hint":"layerwise non-blocking operations"},
{"id":"","label":"lcm","localized":"","hint":"lcm"},
{"id":"","label":"ldsr processing steps","localized":"","hint":"ldsr processing steps"},
{"id":"","label":"left","localized":"","hint":"left"},
{"id":"","label":"legend","localized":"","hint":"legend"},
{"id":"","label":"length","localized":"","hint":"length"},
{"id":"","label":"leres depth","localized":"","hint":"leres depth"},
{"id":"","label":"level","localized":"","hint":"level"},
{"id":"","label":"libs","localized":"","hint":"libs"},
{"id":"","label":"light","localized":"","hint":"light"},
{"id":"","label":"lineart","localized":"","hint":"lineart"},
{"id":"","label":"list","localized":"","hint":"list"},
{"id":"","label":"list model details","localized":"","hint":"list model details"},
{"id":"","label":"lite","localized":"","hint":"lite"},
{"id":"","label":"live update","localized":"","hint":"live update"},
{"id":"","label":"lmsd","localized":"","hint":"lmsd"},
{"id":"","label":"load custom diffusers pipeline","localized":"","hint":"load custom diffusers pipeline"},
{"id":"","label":"load model directly to gpu","localized":"","hint":"load model directly to gpu"},
{"id":"","label":"loaded lora","localized":"","hint":"loaded lora"},
{"id":"","label":"logsnr","localized":"","hint":"logsnr"},
{"id":"","label":"loop","localized":"","hint":"loop"},
{"id":"","label":"lora add hash info to metadata","localized":"","hint":"lora add hash info to metadata"},
{"id":"","label":"lora auto-apply tags","localized":"","hint":"lora auto-apply tags"},
{"id":"","label":"lora load using diffusers method for selected models","localized":"","hint":"lora load using diffusers method for selected models"},
{"id":"","label":"lora load using legacy method","localized":"","hint":"lora load using legacy method"},
{"id":"","label":"lora target filename","localized":"","hint":"lora target filename"},
{"id":"","label":"low order","localized":"","hint":"low order"},
{"id":"","label":"low threshold","localized":"","hint":"low threshold"},
{"id":"","label":"ltx model","localized":"","hint":"ltx model"},
{"id":"","label":"manual block merge","localized":"","hint":"manual block merge"},
{"id":"","label":"marigold depth","localized":"","hint":"marigold depth"},
{"id":"","label":"mask dropout","localized":"","hint":"mask dropout"},
{"id":"","label":"mask invert","localized":"","hint":"mask invert"},
{"id":"","label":"mask only","localized":"","hint":"mask only"},
{"id":"","label":"mask strength","localized":"","hint":"mask strength"},
{"id":"","label":"masked","localized":"","hint":"masked"},
{"id":"","label":"math attention","localized":"","hint":"math attention"},
{"id":"","label":"max faces","localized":"","hint":"max faces"},
{"id":"","label":"max flavors","localized":"","hint":"max flavors"},
{"id":"","label":"max guidance","localized":"","hint":"max guidance"},
{"id":"","label":"max length","localized":"","hint":"max length"},
{"id":"","label":"max object size","localized":"","hint":"max object size"},
{"id":"","label":"max range","localized":"","hint":"max range"},
{"id":"","label":"max words","localized":"","hint":"max words"},
{"id":"","label":"max-autotune","localized":"","hint":"max-autotune"},
{"id":"","label":"max-autotune-no-cudagraphs","localized":"","hint":"max-autotune-no-cudagraphs"},
{"id":"","label":"maximum image size (mp)","localized":"","hint":"maximum image size (mp)"},
{"id":"","label":"maximum number of units","localized":"","hint":"maximum number of units"},
{"id":"","label":"maximum rank","localized":"","hint":"maximum rank"},
{"id":"","label":"mediapipe face","localized":"","hint":"mediapipe face"},
{"id":"","label":"medium","localized":"","hint":"medium"},
{"id":"","label":"mediums","localized":"","hint":"mediums"},
{"id":"","label":"memory","localized":"","hint":"memory"},
{"id":"","label":"memory attention","localized":"","hint":"memory attention"},
{"id":"","label":"memory limit","localized":"","hint":"memory limit"},
{"id":"","label":"memory optimization","localized":"","hint":"memory optimization"},
{"id":"","label":"merge","localized":"","hint":"merge"},
{"id":"","label":"merge alpha","localized":"","hint":"merge alpha"},
{"id":"","label":"method","localized":"","hint":"method"},
{"id":"","label":"method after","localized":"","hint":"method after"},
{"id":"","label":"method before","localized":"","hint":"method before"},
{"id":"","label":"method mask","localized":"","hint":"method mask"},
{"id":"","label":"midas depth","localized":"","hint":"midas depth"},
{"id":"","label":"migraphx","localized":"","hint":"migraphx"},
{"id":"","label":"min flavors","localized":"","hint":"min flavors"},
{"id":"","label":"min guidance","localized":"","hint":"min guidance"},
{"id":"","label":"min object size","localized":"","hint":"min object size"},
{"id":"","label":"mine","localized":"","hint":"mine"},
{"id":"","label":"mlsd","localized":"","hint":"mlsd"},
{"id":"","label":"mode","localized":"","hint":"mode"},
{"id":"","label":"mode after","localized":"","hint":"mode after"},
{"id":"","label":"mode before","localized":"","hint":"mode before"},
{"id":"","label":"mode mask","localized":"","hint":"mode mask"},
{"id":"","label":"mode x-axis","localized":"","hint":"mode x-axis"},
{"id":"","label":"mode y-axis","localized":"","hint":"mode y-axis"},
{"id":"","label":"model auto-download on demand","localized":"","hint":"model auto-download on demand"},
{"id":"","label":"model autoload on start","localized":"","hint":"model autoload on start"},
{"id":"","label":"model compile fullgraph","localized":"","hint":"model compile fullgraph"},
{"id":"","label":"model compile suppress errors","localized":"","hint":"model compile suppress errors"},
{"id":"","label":"model compile verbose mode","localized":"","hint":"model compile verbose mode"},
{"id":"","label":"model info","localized":"","hint":"model info"},
{"id":"","label":"model metadata","localized":"","hint":"model metadata"},
{"id":"","label":"model name","localized":"","hint":"model name"},
{"id":"","label":"model precision","localized":"","hint":"model precision"},
{"id":"","label":"model type","localized":"","hint":"model type"},
{"id":"","label":"model url","localized":"","hint":"model url"},
{"id":"","label":"modern","localized":"","hint":"modern"},
{"id":"","label":"modules","localized":"","hint":"modules"},
{"id":"","label":"momentum","localized":"","hint":"momentum"},
{"id":"","label":"motion level","localized":"","hint":"motion level"},
{"id":"","label":"move base model to cpu when using refiner","localized":"","hint":"move base model to cpu when using refiner"},
{"id":"","label":"move base model to cpu when using vae","localized":"","hint":"move base model to cpu when using vae"},
{"id":"","label":"move detailer model to cpu when complete","localized":"","hint":"move detailer model to cpu when complete"},
{"id":"","label":"move refiner model to cpu when not in use","localized":"","hint":"move refiner model to cpu when not in use"},
{"id":"","label":"movements","localized":"","hint":"movements"},
{"id":"","label":"multi decoder","localized":"","hint":"multi decoder"},
{"id":"","label":"multistep restore","localized":"","hint":"multistep restore"},
{"id":"","label":"native","localized":"","hint":"native"},
{"id":"","label":"near threshold","localized":"","hint":"near threshold"},
{"id":"","label":"negative","localized":"","hint":"negative"},
{"id":"","label":"network negative prompt","localized":"","hint":"network negative prompt"},
{"id":"","label":"network parameters","localized":"","hint":"network parameters"},
{"id":"","label":"network prompt","localized":"","hint":"network prompt"},
{"id":"","label":"new model name","localized":"","hint":"new model name"},
{"id":"","label":"nf4","localized":"","hint":"nf4"},
{"id":"","label":"nms","localized":"","hint":"nms"},
{"id":"","label":"noise","localized":"","hint":"noise"},
{"id":"","label":"noise multiplier (eta)","localized":"","hint":"noise multiplier (eta)"},
{"id":"","label":"noise multiplier for image processing","localized":"","hint":"noise multiplier for image processing"},
{"id":"","label":"noise seed delta (eta)","localized":"","hint":"noise seed delta (eta)"},
{"id":"","label":"noise strength","localized":"","hint":"noise strength"},
{"id":"","label":"none","localized":"","hint":"none"},
{"id":"","label":"note","localized":"","hint":"note"},
{"id":"","label":"nothing","localized":"","hint":"nothing"},
{"id":"","label":"number","localized":"","hint":"number"},
{"id":"","label":"numbered filenames","localized":"","hint":"numbered filenames"},
{"id":"","label":"offload","localized":"","hint":"offload"},
{"id":"","label":"offload face module","localized":"","hint":"offload face module"},
{"id":"","label":"olive-ai","localized":"","hint":"olive-ai"},
{"id":"","label":"onediff","localized":"","hint":"onediff"},
{"id":"","label":"onnx","localized":"","hint":"onnx"},
{"id":"","label":"openbody","localized":"","hint":"openbody"},
{"id":"","label":"openclip","localized":"","hint":"openclip"},
{"id":"","label":"openvino disable memory cleanup after compile","localized":"","hint":"openvino disable memory cleanup after compile"},
{"id":"","label":"openvino disable model caching","localized":"","hint":"openvino disable model caching"},
{"id":"","label":"openvino mode","localized":"","hint":"openvino mode"},
{"id":"","label":"openvino_fx","localized":"","hint":"openvino_fx"},
{"id":"","label":"optional image description","localized":"","hint":"optional image description"},
{"id":"","label":"optional init image or video","localized":"","hint":"optional init image or video"},
{"id":"","label":"order","localized":"","hint":"order"},
{"id":"","label":"ortho","localized":"","hint":"ortho"},
{"id":"","label":"outpaint","localized":"","hint":"outpaint"},
{"id":"","label":"output model","localized":"","hint":"output model"},
{"id":"","label":"override resolution","localized":"","hint":"override resolution"},
{"id":"","label":"override sampler","localized":"","hint":"override sampler"},
{"id":"","label":"override scheduler","localized":"","hint":"override scheduler"},
{"id":"","label":"override steps","localized":"","hint":"override steps"},
{"id":"","label":"override t1 ratio","localized":"","hint":"override t1 ratio"},
{"id":"","label":"override t2 ratio","localized":"","hint":"override t2 ratio"},
{"id":"","label":"overwrite existing file","localized":"","hint":"overwrite existing file"},
{"id":"","label":"overwrite model","localized":"","hint":"overwrite model"},
{"id":"","label":"pad frames","localized":"","hint":"pad frames"},
{"id":"","label":"padding","localized":"","hint":"padding"},
{"id":"","label":"parallel process images in batch","localized":"","hint":"parallel process images in batch"},
{"id":"","label":"parameter free","localized":"","hint":"parameter free"},
{"id":"","label":"path to model file","localized":"","hint":"path to model file"},
{"id":"","label":"path to notification sound","localized":"","hint":"path to notification sound"},
{"id":"","label":"peft","localized":"","hint":"peft"},
{"id":"","label":"penalty","localized":"","hint":"penalty"},
{"id":"","label":"perflow","localized":"","hint":"perflow"},
{"id":"","label":"perform injection","localized":"","hint":"perform injection"},
{"id":"","label":"perform sdsa","localized":"","hint":"perform sdsa"},
{"id":"","label":"perform warmup","localized":"","hint":"perform warmup"},
{"id":"","label":"performance","localized":"","hint":"performance"},
{"id":"","label":"photomaker model","localized":"","hint":"photomaker model"},
{"id":"","label":"pidinet","localized":"","hint":"pidinet"},
{"id":"","label":"pipeline","localized":"","hint":"pipeline"},
{"id":"","label":"pixels to expand","localized":"","hint":"pixels to expand"},
{"id":"","label":"platform","localized":"","hint":"platform"},
{"id":"","label":"play","localized":"","hint":"play"},
{"id":"","label":"play a notification upon completion","localized":"","hint":"play a notification upon completion"},
{"id":"","label":"pndm","localized":"","hint":"pndm"},
{"id":"","label":"polyexponential","localized":"","hint":"polyexponential"},
{"id":"","label":"pony","localized":"","hint":"pony"},
{"id":"","label":"pose confidence","localized":"","hint":"pose confidence"},
{"id":"","label":"positive","localized":"","hint":"positive"},
{"id":"","label":"postprocess mask","localized":"","hint":"postprocess mask"},
{"id":"","label":"postprocess upscale","localized":"","hint":"postprocess upscale"},
{"id":"","label":"postprocessing operation order","localized":"","hint":"postprocessing operation order"},
{"id":"","label":"power","localized":"","hint":"power"},
{"id":"","label":"prediction method","localized":"","hint":"prediction method"},
{"id":"","label":"preset","localized":"","hint":"preset"},
{"id":"","label":"preset block merge","localized":"","hint":"preset block merge"},
{"id":"","label":"preview","localized":"","hint":"preview"},
{"id":"","label":"preview end","localized":"","hint":"preview end"},
{"id":"","label":"preview start","localized":"","hint":"preview start"},
{"id":"","label":"primary model","localized":"","hint":"primary model"},
{"id":"","label":"processor","localized":"","hint":"processor"},
{"id":"","label":"processor move to cpu after use","localized":"","hint":"processor move to cpu after use"},
{"id":"","label":"processor settings","localized":"","hint":"processor settings"},
{"id":"","label":"processor unload after use","localized":"","hint":"processor unload after use"},
{"id":"","label":"prompt attention normalization","localized":"","hint":"prompt attention normalization"},
{"id":"","label":"prompt ex","localized":"","hint":"prompt ex"},
{"id":"","label":"prompt processor","localized":"","hint":"prompt processor"},
{"id":"","label":"prompt strength","localized":"","hint":"prompt strength"},
{"id":"","label":"prompt thresholds:","localized":"","hint":"prompt thresholds:"},
{"id":"","label":"prompts","localized":"","hint":"prompts"},
{"id":"","label":"provider","localized":"","hint":"provider"},
{"id":"","label":"prune","localized":"","hint":"prune"},
{"id":"","label":"quad","localized":"","hint":"quad"},
{"id":"","label":"quantization activations type","localized":"","hint":"quantization activations type"},
{"id":"","label":"quantization mode","localized":"","hint":"quantization mode"},
{"id":"","label":"quantization type","localized":"","hint":"quantization type"},
{"id":"","label":"quantization weights type","localized":"","hint":"quantization weights type"},
{"id":"","label":"question","localized":"","hint":"question"},
{"id":"","label":"random seeds","localized":"","hint":"random seeds"},
{"id":"","label":"range","localized":"","hint":"range"},
{"id":"","label":"rebase","localized":"","hint":"rebase"},
{"id":"","label":"reduce-overhead","localized":"","hint":"reduce-overhead"},
{"id":"","label":"redux prompt strength","localized":"","hint":"redux prompt strength"},
{"id":"","label":"reference adain weight","localized":"","hint":"reference adain weight"},
{"id":"","label":"reference query weight","localized":"","hint":"reference query weight"},
{"id":"","label":"reference unit 1","localized":"","hint":"reference unit 1"},
{"id":"","label":"refine foreground","localized":"","hint":"refine foreground"},
{"id":"","label":"refresh","localized":"","hint":"refresh"},
{"id":"","label":"refresh bench","localized":"","hint":"refresh bench"},
{"id":"","label":"refresh data","localized":"","hint":"refresh data"},
{"id":"","label":"refresh state","localized":"","hint":"refresh state"},
{"id":"","label":"refresh ui values","localized":"","hint":"refresh ui values"},
{"id":"","label":"reinstall","localized":"","hint":"reinstall"},
{"id":"","label":"remove background","localized":"","hint":"remove background"},
{"id":"","label":"repeat x-axis","localized":"","hint":"repeat x-axis"},
{"id":"","label":"repeat y-axis","localized":"","hint":"repeat y-axis"},
{"id":"","label":"replace vae","localized":"","hint":"replace vae"},
{"id":"","label":"repos","localized":"","hint":"repos"},
{"id":"","label":"reprocess decode","localized":"","hint":"reprocess decode"},
{"id":"","label":"reprocess face","localized":"","hint":"reprocess face"},
{"id":"","label":"reprocess refine","localized":"","hint":"reprocess refine"},
{"id":"","label":"request browser notifications","localized":"","hint":"request browser notifications"},
{"id":"","label":"requeue failed","localized":"","hint":"requeue failed"},
{"id":"","label":"rescale","localized":"","hint":"rescale"},
{"id":"","label":"rescale betas with zero terminal snr","localized":"","hint":"rescale betas with zero terminal snr"},
{"id":"","label":"reset anchors","localized":"","hint":"reset anchors"},
{"id":"","label":"residual diff threshold","localized":"","hint":"residual diff threshold"},
{"id":"","label":"resize background color","localized":"","hint":"resize background color"},
{"id":"","label":"resize method","localized":"","hint":"resize method"},
{"id":"","label":"resize mode","localized":"","hint":"resize mode"},