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工作流 / 图像 / Lonecat's Anime to Real Workflow | 动漫转真人工作流
Lonecat's Anime to Real Workflow | 动漫转真人工作流

Lonecat's Anime to Real Workflow | 动漫转真人工作流

Lonecat's Anime to Real Workflow | 动漫转真人工作流

Comfy Manager is SLOW to upload. sometimes a day or so. If you get ANY missing nodes, just get them from my repo Here: https://github.com/lonecatone23All LC Notes now translate to the following:English, 中文, 繁體中文, Русский…

图像 101 个节点 185 次使用 lonecatone23 234 KB

下载工作流 JSON 查看官方来源

下载后把文件拖进 ComfyUI 窗口即可打开。

需要的权重

这个工作流引用了 1 个权重文件,其中 0 个能在本站模型库里找到。

anime 2 real (2).json 模型库暂未收录

节点构成

SetNode × 11
GetNode × 11
LCLabel × 9
LCNote × 5
LCBatchImageComparer × 4
LCControlPanel × 3
LC Bypasser × 3
ModelSamplingAuraFlow × 2
PrimitiveStringMultiline × 2
LoadImage × 2
LCJoinStrings × 2
PreviewImage × 2
LCVRAMCacheClear × 2
Fast Groups Bypasser (rgthree) × 2
LCPreviewMask × 2
LCAnySwitch × 2

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

1{
2 "id": "1b13ae27-b225-4bd5-b00d-d6184d3a780c",
3 "revision": 0,
4 "last_node_id": 1391,
5 "last_link_id": 2706,
6 "nodes": [
7 {
8 "id": 343,
9 "type": "ModelSamplingAuraFlow",
10 "pos": [
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12 70000
13 ],
14 "size": [
15 480,
16 90
17 ],
18 "flags": {
19 "collapsed": true,
20 "pinned": true
21 },
22 "order": 47,
23 "mode": 0,
24 "inputs": [
25 {
26 "name": "model",
27 "type": "MODEL",
28 "link": 2450
29 }
30 ],
31 "outputs": [
32 {
33 "name": "MODEL",
34 "type": "MODEL",
35 "links": [
36 2452
37 ]
38 }
39 ],
40 "properties": {
41 "cnr_id": "comfy-core",
42 "ver": "0.30.0",
43 "Node name for S&R": "ModelSamplingAuraFlow",
44 "ue_properties": {
45 "widget_ue_connectable": [],
46 "input_ue_unconnectable": [],
47 "version": "7.5.2"
48 }
49 },
50 "widgets_values": [
51 4,
52 "flow"
53 ],
54 "widgets_values_named": {
55 "shift": 4,
56 "sampling": "flow"
57 },
58 "color": "#222",
59 "bgcolor": "#000"
60 },
61 {
62 "id": 361,
63 "type": "ConditioningZeroOut",
64 "pos": [
65 215600,
66 70280
67 ],
68 "size": [
69 270,
70 30
71 ],
72 "flags": {
73 "collapsed": true,
74 "pinned": true
75 },
76 "order": 91,
77 "mode": 0,
78 "inputs": [
79 {
80 "name": "conditioning",
81 "type": "CONDITIONING",
82 "link": 2481
83 }
84 ],
85 "outputs": [
86 {
87 "name": "CONDITIONING",
88 "type": "CONDITIONING",
89 "links": [
90 2511,
91 2616
92 ]
93 }
94 ],
95 "properties": {
96 "cnr_id": "comfy-core",
97 "ver": "0.34.0",
98 "Node name for S&R": "ConditioningZeroOut",
99 "ue_properties": {
100 "widget_ue_connectable": [],
101 "input_ue_unconnectable": [],
102 "version": "7.5.2"
103 }
104 },
105 "color": "#322",
106 "bgcolor": "#533"
107 },
108 {
109 "id": 346,
110 "type": "PrimitiveStringMultiline",
111 "pos": [
112 215200,
113 70000
114 ],
115 "size": [
116 380,
117 90
118 ],
119 "flags": {
120 "pinned": true
121 },
122 "order": 0,
123 "mode": 0,
124 "inputs": [],
125 "outputs": [
126 {
127 "name": "STRING",
128 "type": "STRING",
129 "links": [
130 2421
131 ]
132 }
133 ],
134 "title": "Detail prompt",
135 "properties": {
136 "cnr_id": "comfy-core",
137 "ver": "0.32.0",
138 "Node name for S&R": "PrimitiveStringMultiline",
139 "ue_properties": {
140 "widget_ue_connectable": [],
141 "input_ue_unconnectable": [],
142 "version": "7.5.2"
143 }
144 },
145 "widgets_values": [
146 "A real photograph of a real person, natural human proportions, real fabric and hair, soft natural daylight, shot on a 50mm lens, shallow depth of field\n\n"
147 ],
148 "widgets_values_named": {
149 "value": "A real photograph of a real person, natural human proportions, real fabric and hair, soft natural daylight, shot on a 50mm lens, shallow depth of field\n\n"
150 },
151 "color": "#222",
152 "bgcolor": "#000"
153 },
154 {
155 "id": 329,
156 "type": "LoadImage",
157 "pos": [
158 213710,
159 70150
160 ],
161 "size": [
162 480,
163 710
164 ],
165 "flags": {
166 "pinned": true
167 },
168 "order": 1,
169 "mode": 0,
170 "inputs": [],
171 "outputs": [
172 {
173 "name": "IMAGE",
174 "type": "IMAGE",
175 "links": [
176 2444,
177 2620,
178 2697
179 ]
180 },
181 {
182 "name": "MASK",
183 "type": "MASK",
184 "links": null
185 }
186 ],
187 "properties": {
188 "cnr_id": "comfy-core",
189 "ver": "0.30.0",
190 "Node name for S&R": "LoadImage",
191 "ue_properties": {
192 "widget_ue_connectable": [],
193 "input_ue_unconnectable": [],
194 "version": "7.5.2"
195 },
196 "image": "clipspace-painted-masked-1790353453551.png [input]"
197 },
198 "widgets_values": [
199 "Lonecats Anima_2026-09-19_00003.png",
200 "image"
201 ],
202 "widgets_values_named": {
203 "image": "Lonecats Anima_2026-09-19_00003.png",
204 "upload": "image"
205 },
206 "color": "#233",
207 "bgcolor": "#355"
208 },
209 {
210 "id": 1229,
211 "type": "TextEncodeKrea2OstrisEdit",
212 "pos": [
213 215600,
214 70240
215 ],
216 "size": [
217 270,
218 220
219 ],
220 "flags": {
221 "collapsed": true,
222 "pinned": true
223 },
224 "order": 88,
225 "mode": 0,
226 "inputs": [
227 {
228 "name": "clip",
229 "type": "CLIP",
230 "link": 2484
231 },
232 {
233 "name": "vae",
234 "shape": 7,
235 "type": "VAE",
236 "link": 2455
237 },
238 {
239 "name": "image1",
240 "shape": 7,
241 "type": "IMAGE",
242 "link": 2524
243 },
244 {
245 "name": "image2",
246 "shape": 7,
247 "type": "IMAGE",
248 "link": 2533
249 },
250 {
251 "name": "image3",
252 "shape": 7,
253 "type": "IMAGE",
254 "link": null
255 },
256 {
257 "name": "prompt",
258 "type": "STRING",
259 "widget": {
260 "name": "prompt"
261 },
262 "link": 2425
263 }
264 ],
265 "outputs": [
266 {
267 "name": "CONDITIONING",
268 "type": "CONDITIONING",
269 "links": [
270 2481,
271 2510,
272 2615
273 ]
274 }
275 ],
276 "title": "Krea 2 Ostris Edit",
277 "properties": {
278 "cnr_id": "comfyui-krea2-ostris-edit",
279 "ver": "b1fd2abfb49f858500ee4b3a5bd7f86d1f1f9021",
280 "Node name for S&R": "TextEncodeKrea2OstrisEdit",
281 "ue_properties": {
282 "widget_ue_connectable": [],
283 "input_ue_unconnectable": [],
284 "version": "7.5.2"
285 }
286 },
287 "widgets_values": [
288 ""
289 ],
290 "widgets_values_named": {
291 "prompt": ""
292 },
293 "color": "#232",
294 "bgcolor": "#353"
295 },
296 {
297 "id": 1234,
298 "type": "Krea2OstrisEditModelPatch",
299 "pos": [
300 214890,
301 70040
302 ],
303 "size": [
304 300,
305 60
306 ],
307 "flags": {
308 "pinned": true
309 },
310 "order": 58,
311 "mode": 0,
312 "inputs": [
313 {
314 "name": "model",
315 "type": "MODEL",
316 "link": 2452
317 }
318 ],
319 "outputs": [
320 {
321 "name": "MODEL",
322 "type": "MODEL",
323 "links": [
324 2598
325 ]
326 }
327 ],
328 "properties": {
329 "cnr_id": "comfyui-krea2-ostris-edit",
330 "ver": "b1fd2abfb49f858500ee4b3a5bd7f86d1f1f9021",
331 "Node name for S&R": "Krea2OstrisEditModelPatch",
332 "ue_properties": {
333 "widget_ue_connectable": [],
334 "input_ue_unconnectable": [],
335 "version": "7.5.2"
336 }
337 },
338 "widgets_values": [
339 true
340 ],
341 "widgets_values_named": {
342 "kv_cache": true
343 },
344 "color": "#223",
345 "bgcolor": "#335"
346 },
347 {
348 "id": 1251,
349 "type": "LCJoinStrings",
350 "pos": [
351 215600,
352 70200
353 ],
354 "size": [
355 270,
356 130
357 ],
358 "flags": {
359 "collapsed": true,
360 "pinned": true
361 },
362 "order": 48,
363 "mode": 0,
364 "inputs": [
365 {
366 "name": "string_1",
367 "shape": 7,
368 "type": "STRING",
369 "link": 2421
370 },
371 {
372 "name": "string_2",
373 "shape": 7,
374 "type": "STRING",
375 "link": 2534
376 }
377 ],
378 "outputs": [
379 {
380 "name": "string",
381 "type": "STRING",
382 "links": [
383 2425
384 ]
385 }
386 ],
387 "properties": {
388 "cnr_id": "ComfyUI_LC123_nodes",
389 "ver": "4889a4c99adb876ee097fd83b50ff7970fd9ef2b",
390 "Node name for S&R": "LCJoinStrings",
391 "ue_properties": {
392 "widget_ue_connectable": [],
393 "input_ue_unconnectable": [],
394 "version": "7.8"
395 }
396 },
397 "widgets_values": [
398 2,
399 ", "
400 ],
401 "widgets_values_named": {
402 "inputcount": 2,
403 "delimiter": ", "
404 },
405 "color": "#222",
406 "bgcolor": "#000"
407 },
408 {
409 "id": 1252,
410 "type": "LCLoraLoader",
411 "pos": [
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413 70460
414 ],
415 "size": [
416 690,
417 240
418 ],
419 "flags": {
420 "pinned": true
421 },
422 "order": 69,
423 "mode": 0,
424 "inputs": [
425 {
426 "name": "model",
427 "shape": 7,
428 "type": "MODEL",
429 "link": 2598
430 },
431 {
432 "name": "clip",
433 "shape": 7,
434 "type": "CLIP",
435 "link": 2461
436 }
437 ],
438 "outputs": [
439 {
440 "name": "model",
441 "type": "MODEL",
442 "links": [
443 2599,
444 2601
445 ]
446 },
447 {
448 "name": "clip",
449 "type": "CLIP",
450 "links": [
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452 2602
453 ]
454 }
455 ],
456 "properties": {
457 "cnr_id": "ComfyUI_LC123_nodes",
458 "ver": "4889a4c99adb876ee097fd83b50ff7970fd9ef2b",
459 "Node name for S&R": "LCLoraLoader",
460 "ue_properties": {
461 "widget_ue_connectable": [],
462 "input_ue_unconnectable": [],
463 "version": "7.8"
464 }
465 },
466 "widgets_values": [
467 "[{\"on\":false,\"lora\":\"Krea 2\\\\Your Loras\\\\Krealistick_Turbo_LoRA.safetensors\",\"strength\":1},{\"on\":true,\"lora\":\"Krea 2\\\\Model Adjust\\\\eyeDetailsKrea_v1.safetensors\",\"strength\":1}]",
468 ""
469 ],
470 "widgets_values_named": {
471 "lora_rows": "[{\"on\":false,\"lora\":\"Krea 2\\\\Your Loras\\\\Krealistick_Turbo_LoRA.safetensors\",\"strength\":1},{\"on\":true,\"lora\":\"Krea 2\\\\Model Adjust\\\\eyeDetailsKrea_v1.safetensors\",\"strength\":1}]",
472 "lc_lora_face": ""
473 },
474 "color": "#432",
475 "bgcolor": "#653"
476 },
477 {
478 "id": 1258,
479 "type": "AspectRatioSimplifier",
480 "pos": [
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482 70000
483 ],
484 "size": [
485 300,
486 450
487 ],
488 "flags": {
489 "pinned": true
490 },
491 "order": 57,
492 "mode": 0,
493 "inputs": [
494 {
495 "name": "image",
496 "shape": 7,
497 "type": "IMAGE",
498 "link": 2444
499 },
500 {
501 "name": "mask",
502 "shape": 7,
503 "type": "MASK",
504 "link": null
505 },
506 {
507 "name": "max_resolution",
508 "type": "INT",
509 "widget": {
510 "name": "max_resolution"
511 },
512 "link": 2446
513 },
514 {
515 "name": "resolution_source",
516 "type": "BOOLEAN",
517 "widget": {
518 "name": "resolution_source"
519 },
520 "link": 2448
521 }
522 ],
523 "outputs": [
524 {
525 "name": "image",
526 "type": "IMAGE",
527 "links": [
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529 ]
530 },
531 {
532 "name": "mask",
533 "type": "MASK",
534 "links": null
535 },
536 {
537 "name": "width",
538 "type": "INT",
539 "links": [
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541 2604
542 ]
543 },
544 {
545 "name": "height",
546 "type": "INT",
547 "links": [
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549 2605
550 ]
551 },
552 {
553 "name": "latent",
554 "type": "LATENT",
555 "links": [
556 2512
557 ]
558 },
559 {
560 "name": "batch",
561 "type": "INT",
562 "links": []
563 },
564 {
565 "name": "resolution",
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567 "links": null
568 }
569 ],
570 "properties": {
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572 "ver": "4889a4c99adb876ee097fd83b50ff7970fd9ef2b",
573 "Node name for S&R": "AspectRatioSimplifier",
574 "ue_properties": {
575 "widget_ue_connectable": [],
576 "input_ue_unconnectable": [],
577 "version": "7.8"
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579 },
580 "widgets_values": [
581 2048,
582 false,
583 "custom",
584 1024,
585 1024,
586 "Off",
587 "lanczos",
588 "crop",
589 "center",
590 "0, 0, 0",
591 8,
592 1
593 ],
594 "widgets_values_named": {
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596 "resolution_source": false,
597 "aspect_ratio": "custom",
598 "custom_width": 1024,
599 "custom_height": 1024,
600 "swap_dimensions": "Off",
601 "upscale_method": "lanczos",
602 "proportion": "crop",
603 "crop_location": "center",
604 "pad_color": "0, 0, 0",
605 "divisible_by": 8,
606 "batch_size": 1
607 },
608 "color": "#324b4b",
609 "bgcolor": "#324b4b"
610 },
611 {
612 "id": 1260,
613 "type": "LCControlPanel",
614 "pos": [
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617 ],
618 "size": [
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620 90
621 ],
622 "flags": {
623 "pinned": true
624 },
625 "order": 2,
626 "mode": 0,
627 "inputs": [],
628 "outputs": [
629 {
630 "label": " ",
631 "name": "value_1",
632 "type": "*",
633 "links": [
634 2446
635 ]
636 },
637 {
638 "label": " ",
639 "name": "value_2",
640 "type": "*",
641 "links": [
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643 ]
644 },
645 {
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648 "type": "*",
649 "links": [
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651 ]
652 }
653 ],
654 "properties": {
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656 "ver": "4889a4c99adb876ee097fd83b50ff7970fd9ef2b",
657 "Node name for S&R": "LCControlPanel",
658 "ue_properties": {
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660 "input_ue_unconnectable": [],
661 "version": "7.8"
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663 "lc_rows": [
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666 "value": 1024,
667 "min": 512,
668 "max": 2048,
669 "step": 16,
670 "decimals": 0,
671 "auto": false
672 },
673 {
674 "name": "Use Image Aspect Ratio 📐",
675 "value": true,
676 "min": 0,
677 "max": 100,
678 "step": 1,
679 "decimals": 0,
680 "auto": false,
681 "kind": "boolean"
682 },
683 {
684 "name": "Remove background",
685 "value": false,
686 "min": 0,
687 "max": 100,
688 "step": 1,
689 "decimals": 0,
690 "auto": false,
691 "kind": "boolean"
692 }
693 ]
694 },
695 "widgets_values": [
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697 ""
698 ],
699 "widgets_values_named": {
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701 "lc_cp_face": ""
702 },
703 "color": "#c87a2c",
704 "bgcolor": "#b46618"
705 },
706 {
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708 "type": "LCInvertBoolean",
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713 "size": [
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717 "flags": {
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722 "mode": 0,
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726 "type": "*",
727 "link": 2447
728 }
729 ],
730 "outputs": [
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733 "type": "BOOLEAN",
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737 }
738 ],
739 "properties": {
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742 "Node name for S&R": "LCInvertBoolean",
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748 },
749 "widgets_values": [
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752 "widgets_values_named": {
753 "boolean": false
754 },
755 "color": "#28281E",
756 "bgcolor": "#28281E"
757 },
758 {
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760 "type": "LCSeed",
761 "pos": [
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765 "size": [
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767 130
768 ],
769 "flags": {
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771 },
772 "order": 3,
773 "mode": 0,
774 "inputs": [],
775 "outputs": [
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777 "name": "seed",
778 "type": "INT",
779 "links": [
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785 ],
786 "properties": {
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788 "ver": "4889a4c99adb876ee097fd83b50ff7970fd9ef2b",
789 "Node name for S&R": "LCSeed",
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802 "ue_properties": {
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804 "input_ue_unconnectable": [],
805 "version": "7.8"
806 }
807 },
808 "widgets_values": [
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810 "",
811 "",
812 "— last used seeds —"
813 ],
814 "widgets_values_named": {
815 "base_seed": -1,
816 "🎲 Randomize Each Time": "",
817 "🎲 New Fixed Random": "",
818 "seed history": "— last used seeds —"
819 },
820 "color": "#822305",
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823 {
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840 "outputs": [
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847 },
848 {
849 "name": "clip",
850 "type": "CLIP",
851 "links": [
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854 },
855 {
856 "name": "vae",
857 "type": "VAE",
858 "links": [
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861 2603
862 ]
863 },
864 {
865 "name": "summary",
866 "type": "STRING",
867 "links": null
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869 ],
870 "properties": {
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872 "ver": "4889a4c99adb876ee097fd83b50ff7970fd9ef2b",
873 "Node name for S&R": "LCOptimizer",
874 "ue_properties": {
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876 "input_ue_unconnectable": [],
877 "version": "7.8"
878 }
879 },
880 "widgets_values": [
881 "Krea 2 (Turbo)",
882 "Optimal",
883 "★ Recommended",
884 "★ Recommended",
885 "★ Recommended",
886 "Auto",
887 "auto",
888 "auto",
889 "auto",
890 "off",
891 "auto",
892 "auto",
893 "auto",
894 ""
895 ],
896 "widgets_values_named": {
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898 "goal": "Optimal",
899 "model_file": "★ Recommended",
900 "text_encoder": "★ Recommended",
901 "vae": "★ Recommended",
902 "speed_ups": "Auto",
903 "attention": "auto",
904 "fp16_accumulation": "auto",
905 "step_cache": "auto",
906 "torch_compile": "off",
907 "qwen21_cache": "auto",
908 "clip_type": "auto",
909 "spectrum": "auto",
910 "lc_optimizer_face": ""
911 },
912 "color": "#2E4A3B",
913 "bgcolor": "#2E4A3B"
914 },
915 {
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917 "type": "LCSamplerConfigureSimple",
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922 "size": [
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2957 "text": "**LC Smart Detailer 🩹**\n- Finds the face with SAM 3, redraws it at full detail, and blends it back in.\n- Runs **before** the upscale, on the small picture, where it is fast and sees the whole face.\n- **prompt:** \"Face\". Add **:1** (`Face:1`) for only the biggest face.\n- **threshold:** 0.5. Lower finds more (and more wrong things).\n- **grow:** 4 - 8. **feather:** 8 - 12.\n- **padding:** 64 - 128. More = the model sees more of the scene around the face.\n- **inpaint_resolution:** 1024.\n- **denoise:** 0.3 - 0.35. Higher starts adding blotches and freckles, then redraws a different face.\n- **blend:** 1. Want a lighter touch? Lower the denoise, not the blend.\n- **cfg:** 1. **tone_match:** on.\n- **inpaint_positive:** leave it empty, the main prompt is used.\n- ⚠️ Do not use \"detailed realistic skin\". In Krea 2 that means \"Hey! Make giant pores and blotches!!\"\n"
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2960 "text": "**LC Smart Detailer 🩹**\n- 用 SAM 3 找到人脸,以完整细节重绘,再混合回去。\n- 在放大**之前**、在小图上运行,这样速度快,也能看到完整的脸。\n- **prompt:**\"Face\"。加上 **:1**(`Face:1`)则只处理最大的那张脸。\n- **threshold:**0.5。调低能找到更多(也包括更多错误的东西)。\n- **grow:**4 - 8。**feather:**8 - 12。\n- **padding:**64 - 128。越大,模型看到的脸周围场景越多。\n- **inpaint_resolution:**1024。\n- **denoise:**0.3 - 0.35。更高就会开始出现斑点和雀斑,然后重绘成另一张脸。\n- **blend:**1。想要更轻的效果?调低 denoise,不要调 blend。\n- **cfg:**1。**tone_match:**开。\n- **inpaint_positive:**留空,会使用主提示词。\n- ⚠️ 不要用 \"detailed realistic skin\"。在 Krea 2 里它的意思是\"嘿!给我来巨大的毛孔和斑块!!\"\n\n",
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2965 "text": "**LC Smart Detailer 🩹**\n- SAM 3 で顔を見つけ、フルディテールで描き直して、元に戻してブレンドします。\n- アップスケールの**前**、小さい画像の段階で実行します。速く、顔全体も見えるからです。\n- **prompt:** \"Face\"。一番大きい顔だけにするなら **:1** を付けます(`Face:1`)。\n- **threshold:** 0.5。下げるとたくさん見つかります(間違いも増えます)。\n- **grow:** 4 - 8。**feather:** 8 - 12。\n- **padding:** 64 - 128。大きいほど、顔の周りのシーンがモデルに多く見えます。\n- **inpaint_resolution:** 1024。\n- **denoise:** 0.3 - 0.35。これより高いと、まだらやそばかすが出始め、そのうち別の顔に描き直されます。\n- **blend:** 1。控えめにしたい? blend ではなく denoise を下げてください。\n- **cfg:** 1。**tone_match:** オン。\n- **inpaint_positive:** 空のままにしてください。メインのプロンプトが使われます。\n- ⚠️ \"detailed realistic skin\" は使わないでください。Krea 2 では「ねえ! 巨大な毛穴とまだらを作って!!」という意味になります。\n",
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2970 "text": "**LC Smart Detailer 🩹**\n- SAM 3로 얼굴을 찾아서 최대 디테일로 다시 그린 뒤 자연스럽게 합성합니다.\n- 업스케일 **전**, 작은 이미지에서 실행됩니다. 그래서 빠르고 얼굴 전체가 한눈에 들어옵니다.\n- **prompt:** \"Face\". 가장 큰 얼굴 하나만 잡으려면 **:1**을 붙이세요 (`Face:1`).\n- **threshold:** 0.5. 낮추면 더 많이 찾지만 엉뚱한 것도 같이 잡힙니다.\n- **grow:** 4 - 8. **feather:** 8 - 12.\n- **padding:** 64 - 128. 클수록 모델이 얼굴 주변 장면을 더 많이 봅니다.\n- **inpaint_resolution:** 1024.\n- **denoise:** 0.3 - 0.35. 이보다 높으면 얼룩과 주근깨가 생기기 시작하고, 결국 다른 얼굴로 다시 그립니다.\n- **blend:** 1. 약하게 적용하고 싶다면 blend가 아니라 denoise를 낮추세요.\n- **cfg:** 1. **tone_match:** 켜기.\n- **inpaint_positive:** 비워 두세요. 메인 프롬프트가 사용됩니다.\n- ⚠️ \"detailed realistic skin\"은 쓰지 마세요. Krea 2에서는 \"이봐! 거대한 모공과 얼룩을 만들어!!\"라는 뜻이 됩니다.",
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3439 "label": "Before",
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3444 },
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3446 "label": "Skin detailed",
3447 "name": "image_b",
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3451 }
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3454 {
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3456 "type": "IMAGE",
3457 "links": []
3458 }
3459 ],
3460 "title": "Skin Compare",
3461 "properties": {
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3463 "ver": "1d09f85e3bed224313a6fa77f3f79c632d6004ae",
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3542 "title": "Skins stuffs",
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3545 "source": "en",
3546 "texts": {
3547 "en": {
3548 "text": "## LC Image Denoise\n- Kills decode grit so the skin nodes after it do not amplify noise.\n- **mode: smart** (default) measures the noise in each image, so the same settings work on clean and noisy renders. **legacy** is the old edge-gated blur.\n- **luma:** how hard grain is cleaned. **chroma:** color blotches and rainbow speckle. Raise chroma first, it costs the least detail.\n- **keep_detail:** brings back pores and hair where they stand above the noise. Lower it if grit comes back.\n- **strength:** 0 = original, 1 = fully denoised (0.75 default).\n- **noise_report** tells you how noisy each image actually was. Low number? Leave it alone.\n\n### LC Person Mask 🧍(Optional)\n\n**It's optional.** If all you care about is faces, then you do not need it. The node will find them by itself. It will also grab skin about 50% of the time. However, if you want **all** skin and make sure it misses clothes, then use it.\n**Settings**\n- **engine: mediapipe**, **face** + **body**, **remove_features** on. Mediapipe's body includes torso and neck skin (segformer's is arms and legs only).\n- **remove_features** cuts eyes, brows, lips and teeth out with SAM 3, so the nodes below never smooth or texture them.\n\n\n## LC Skin Master ✨\n\n**What is it?**\n- Your whole skin chain in one node: grit, pores, blemishes, lines, freckles, eyes, skin tone and colour. Each one done once, in order, on one skin map.\n\n- 💡Plug the **skin_mask** into **LC Sharpen Pro**, so skin_protect covers all the skin instead of the part a colour guess finds.\n- ✋ **First run downloads about 80 MB** (face finders) into `models/facexlib`.\n\n**Settings ⚙️**\n\n**Presets**: \n- **Natural** for every day. \n- **Soft Beauty** for images with makeup.\n- **Editorial Detail** for close-ups (sharp 🗡️)\n- **Real Skin Restore** for plastic skin\n- **Weathered** for character (my favorite in most cases)\n- **Sun-Kissed** for freckles. \n- *Moving a slider switches to Custom.*\n\n**Sliders:**\n\n- **pores**: 1 = as it is. Keep it at 1 or more with **pigmentation**, or the freckles look painted on.\n- **add_pores**: for skin that has none. Skin with detail gets less on its own.\n- **wrinkles**: below 0 softens, above 0 deepens the lines already there.\n- **warmth**: below 0 calms orange AI skin.\n- **eye_detail**: 0.5 default, 1.0 is the top.\n\n\n---\n**Credits:**\n\nSkin finding and the retouch adapted from sd-living-skin by sca-285 (MIT) [Here](https://github.com/sca-285/sd-living-skin)\n\n"
3549 },
3550 "zh": {
3551 "text": "## LC Image Denoise\n- 消除解码产生的颗粒感,这样它后面的皮肤节点就不会放大噪点。\n- **mode: smart**(默认)会测量每张图的噪点,所以同样的设置对干净和有噪点的渲染都适用。**legacy** 是旧的边缘门控模糊。\n- **luma:**清理颗粒的力度。**chroma:**色斑和彩虹状斑点。先调高 chroma,它损失的细节最少。\n- **keep_detail:**把高于噪点的毛孔和毛发找回来。如果颗粒感又回来了,就调低它。\n- **strength:**0 = 原图,1 = 完全去噪(默认 0.75)。\n- **noise_report** 会告诉你每张图实际的噪点程度。数值低?别动它。\n\n### LC Person Mask 🧍(可选)\n\n**它是可选的。**如果你只关心人脸,就不需要它。节点会自己找到人脸。它大约有 50% 的概率也能抓到皮肤。但如果你想要**全部**皮肤并确保避开衣服,就用它。\n**设置**\n- **engine: mediapipe**、**face** + **body**、**remove_features** 开启。Mediapipe 的 body 包含躯干和脖子的皮肤(segformer 的只有手臂和腿)。\n- **remove_features** 用 SAM 3 把眼睛、眉毛、嘴唇和牙齿抠掉,这样下面的节点就不会对它们做平滑或加质感。\n\n\n## LC Skin Master ✨\n\n**这是什么?**\n- 你整条皮肤处理链集于一个节点:颗粒、毛孔、瑕疵、纹路、雀斑、眼睛、肤色和色彩。每一项只做一次,按顺序,在同一张皮肤图上完成。\n\n- 💡把 **skin_mask** 接到 **LC Sharpen Pro** 上,这样 skin_protect 就能覆盖所有皮肤,而不只是颜色猜测找到的那部分。\n- ✋ **首次运行会下载约 80 MB**(人脸检测器)到 `models/facexlib`。\n\n**设置 ⚙️**\n\n**预设**: \n- **Natural** 日常使用。 \n- **Soft Beauty** 用于带妆的图像。\n- **Editorial Detail** 用于特写(锐利 🗡️)\n- **Real Skin Restore** 用于塑料感皮肤\n- **Weathered** 用于有性格的角色(大多数情况下我的最爱)\n- **Sun-Kissed** 用于雀斑。 \n- *移动任何滑块都会切换到 Custom。*\n\n**滑块:**\n\n- **pores**:1 = 保持原样。和 **pigmentation** 一起时保持在 1 或更高,否则雀斑看起来像画上去的。\n- **add_pores**:用于没有毛孔的皮肤。本身有细节的皮肤会少加一些。\n- **wrinkles**:低于 0 是柔化,高于 0 是加深已有的纹路。\n- **warmth**:低于 0 可以压住 AI 皮肤的橙色。\n- **eye_detail**:默认 0.5,1.0 是上限。\n\n\n---\n**致谢:**\n\n皮肤检测和修饰改编自 sca-285 的 sd-living-skin (MIT) [这里](https://github.com/sca-285/sd-living-skin)\n\n\n",
3552 "src": "9e5b10c4",
3553 "srcTitle": "Skins stuffs"
3554 },
3555 "ja": {
3556 "text": "## LC Image Denoise\n- デコードのザラつきを消して、後段のスキンノードがノイズを増幅しないようにします。\n- **mode: smart**(デフォルト)は画像ごとにノイズを測定するので、きれいな画像でもノイズの多い画像でも同じ設定が使えます。**legacy** は従来のエッジゲート付きブラーです。\n- **luma:** グレインをどれだけ強く除去するか。**chroma:** 色のまだらや虹色のブツブツ。先に chroma を上げてください。ディテールの損失が最も小さいです。\n- **keep_detail:** ノイズより際立っている毛穴や髪を戻します。ザラつきが戻ってきたら下げてください。\n- **strength:** 0 = 元のまま、1 = 完全に denoise(デフォルトは 0.75)。\n- **noise_report** は、各画像が実際にどれだけノイズを持っていたかを教えてくれます。数値が低い? 触らなくて大丈夫です。\n\n### LC Person Mask 🧍(オプション)\n\n**オプションです。** 顔だけが目的なら要りません。ノードが自分で見つけます。肌も半分くらいの確率で拾います。ですが、肌を**すべて**対象にして、服を確実に外したいなら、これを使ってください。\n**設定**\n- **engine: mediapipe**、**face** + **body**、**remove_features** オン。Mediapipe の body には胴体と首の肌が含まれます(segformer は腕と脚だけです)。\n- **remove_features** は SAM 3 で目、眉、唇、歯を切り抜くので、下のノードがそこをなめらかにしたりテクスチャを足したりすることはありません。\n\n\n## LC Skin Master ✨\n\n**これは何?**\n- 肌のチェーン全体を1つのノードにまとめたものです: ザラつき、毛穴、シミ、シワ、そばかす、目、肌のトーンと色。それぞれが、1枚のスキンマップに対して順番に1回ずつ処理されます。\n\n- 💡 **skin_mask** を **LC Sharpen Pro** につなぐと、skin_protect が、色の推測で見つかった部分だけでなく、肌全体をカバーします。\n- ✋ **初回実行時に約 80 MB**(顔検出モデル)が `models/facexlib` にダウンロードされます。\n\n**設定 ⚙️**\n\n**プリセット**: \n- **Natural** は普段使い。 \n- **Soft Beauty** はメイクをした画像向け。\n- **Editorial Detail** はクローズアップ向け(シャープ 🗡️)\n- **Real Skin Restore** はプラスチックっぽい肌向け\n- **Weathered** は個性づけ向け(ほとんどの場合、私のお気に入り)\n- **Sun-Kissed** はそばかす向け。 \n- *スライダーを動かすと Custom に切り替わります。*\n\n**スライダー:**\n\n- **pores**: 1 = そのまま。**pigmentation** と一緒に 1 以上にしておかないと、そばかすが描き込んだように見えます。\n- **add_pores**: 毛穴のない肌向け。ディテールのある肌には自動で少なくなります。\n- **wrinkles**: 0 未満でぼかし、0 より上で既にあるシワを深くします。\n- **warmth**: 0 未満で、オレンジっぽい AI 肌をおとなしくします。\n- **eye_detail**: デフォルトは 0.5、最大は 1.0。\n\n\n---\n**クレジット:**\n\n肌の検出とレタッチは、sca-285 の sd-living-skin (MIT) を元にしています [こちら](https://github.com/sca-285/sd-living-skin)\n\n",
3557 "src": "9e5b10c4",
3558 "srcTitle": "Skins stuffs"
3559 },
3560 "ko": {
3561 "text": "## LC Image Denoise\n- 디코드에서 생긴 거친 노이즈를 없애서, 뒤에 오는 피부 노드가 노이즈를 증폭하지 않게 합니다.\n- **mode: smart** (기본값)는 이미지마다 노이즈를 측정하므로 같은 설정이 깨끗한 렌더와 노이즈 많은 렌더 모두에 통합니다. **legacy**는 예전의 edge-gated blur입니다.\n- **luma:** 그레인을 얼마나 강하게 정리할지. **chroma:** 색 얼룩과 무지개빛 점. chroma를 먼저 올리세요. 디테일 손실이 가장 적습니다.\n- **keep_detail:** 노이즈 위로 두드러지는 모공과 털을 되살립니다. 노이즈가 다시 생기면 낮추세요.\n- **strength:** 0 = 원본, 1 = 완전 denoise (기본값 0.75).\n- **noise_report**는 각 이미지에 실제로 노이즈가 얼마나 있었는지 알려 줍니다. 숫자가 낮으면 건드리지 마세요.\n\n### LC Person Mask 🧍(선택)\n\n**선택 사항입니다.** 얼굴만 신경 쓴다면 필요 없습니다. 노드가 알아서 얼굴을 찾습니다. 피부도 50% 정도는 잡아냅니다. 하지만 **모든** 피부를 잡으면서 옷은 확실히 피하고 싶다면 쓰세요.\n**설정**\n- **engine: mediapipe**, **face** + **body**, **remove_features** 켜기. Mediapipe의 body는 몸통과 목 피부를 포함합니다 (segformer는 팔과 다리만).\n- **remove_features**는 SAM 3로 눈, 눈썹, 입술, 치아를 잘라내서, 아래의 노드들이 그 부분을 매끄럽게 하거나 질감을 입히지 않게 합니다.\n\n\n## LC Skin Master ✨\n\n**이게 뭔가요?**\n- 피부 체인 전체를 노드 하나에 담았습니다. 노이즈, 모공, 잡티, 주름, 주근깨, 눈, 피부 톤, 색까지. 각각 한 번씩, 순서대로, 하나의 피부 맵 위에서 처리합니다.\n\n- 💡**skin_mask**를 **LC Sharpen Pro**에 연결하면, skin_protect가 색으로 추측한 부분이 아니라 모든 피부를 감쌉니다.\n- ✋ **첫 실행 때 약 80 MB**(얼굴 검출기)를 `models/facexlib`에 다운로드합니다.\n\n**설정 ⚙️**\n\n**프리셋**: \n- **Natural**: 일상용. \n- **Soft Beauty**: 메이크업한 이미지용.\n- **Editorial Detail**: 클로즈업용 (날카로움 🗡️)\n- **Real Skin Restore**: 플라스틱 같은 피부용\n- **Weathered**: 캐릭터용 (대부분의 경우 제가 제일 좋아하는 것)\n- **Sun-Kissed**: 주근깨용. \n- *슬라이더를 움직이면 Custom으로 바뀝니다.*\n\n**슬라이더:**\n\n- **pores**: 1 = 그대로. **pigmentation**과 함께 쓸 때는 1 이상으로 두세요. 아니면 주근깨가 그려 넣은 것처럼 보입니다.\n- **add_pores**: 모공이 없는 피부용. 이미 디테일이 있는 피부에는 알아서 덜 적용됩니다.\n- **wrinkles**: 0 미만은 부드럽게, 0 초과는 이미 있는 주름을 더 깊게 합니다.\n- **warmth**: 0 미만은 AI 특유의 주황빛 피부를 가라앉힙니다.\n- **eye_detail**: 기본값 0.5, 최대 1.0.\n\n\n---\n**크레딧:**\n\n피부 검출과 리터치는 sca-285의 sd-living-skin(MIT)을 각색했습니다 [여기](https://github.com/sca-285/sd-living-skin)\n\n",
3562 "src": "9e5b10c4",
3563 "srcTitle": "Skins stuffs"
3564 }
3565 },
3566 "titles": {
3567 "en": "Skins stuffs",
3568 "zh": "皮肤相关",
3569 "ja": "スキン関連",
3570 "ko": "피부 관련 도구"
3571 }
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3580 "English ✏️",
3581 "## LC Image Denoise\n- Kills decode grit so the skin nodes after it do not amplify noise.\n- **mode: smart** (default) measures the noise in each image, so the same settings work on clean and noisy renders. **legacy** is the old edge-gated blur.\n- **luma:** how hard grain is cleaned. **chroma:** color blotches and rainbow speckle. Raise chroma first, it costs the least detail.\n- **keep_detail:** brings back pores and hair where they stand above the noise. Lower it if grit comes back.\n- **strength:** 0 = original, 1 = fully denoised (0.75 default).\n- **noise_report** tells you how noisy each image actually was. Low number? Leave it alone.\n\n### LC Person Mask 🧍(Optional)\n\n**It's optional.** If all you care about is faces, then you do not need it. The node will find them by itself. It will also grab skin about 50% of the time. However, if you want **all** skin and make sure it misses clothes, then use it.\n**Settings**\n- **engine: mediapipe**, **face** + **body**, **remove_features** on. Mediapipe's body includes torso and neck skin (segformer's is arms and legs only).\n- **remove_features** cuts eyes, brows, lips and teeth out with SAM 3, so the nodes below never smooth or texture them.\n\n\n## LC Skin Master ✨\n\n**What is it?**\n- Your whole skin chain in one node: grit, pores, blemishes, lines, freckles, eyes, skin tone and colour. Each one done once, in order, on one skin map.\n\n- 💡Plug the **skin_mask** into **LC Sharpen Pro**, so skin_protect covers all the skin instead of the part a colour guess finds.\n- ✋ **First run downloads about 80 MB** (face finders) into `models/facexlib`.\n\n**Settings ⚙️**\n\n**Presets**: \n- **Natural** for every day. \n- **Soft Beauty** for images with makeup.\n- **Editorial Detail** for close-ups (sharp 🗡️)\n- **Real Skin Restore** for plastic skin\n- **Weathered** for character (my favorite in most cases)\n- **Sun-Kissed** for freckles. \n- *Moving a slider switches to Custom.*\n\n**Sliders:**\n\n- **pores**: 1 = as it is. Keep it at 1 or more with **pigmentation**, or the freckles look painted on.\n- **add_pores**: for skin that has none. Skin with detail gets less on its own.\n- **wrinkles**: below 0 softens, above 0 deepens the lines already there.\n- **warmth**: below 0 calms orange AI skin.\n- **eye_detail**: 0.5 default, 1.0 is the top.\n\n\n---\n**Credits:**\n\nSkin finding and the retouch adapted from sd-living-skin by sca-285 (MIT) [Here](https://github.com/sca-285/sd-living-skin)\n\n"
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3584 "language": "English ✏️",
3585 "text": "## LC Image Denoise\n- Kills decode grit so the skin nodes after it do not amplify noise.\n- **mode: smart** (default) measures the noise in each image, so the same settings work on clean and noisy renders. **legacy** is the old edge-gated blur.\n- **luma:** how hard grain is cleaned. **chroma:** color blotches and rainbow speckle. Raise chroma first, it costs the least detail.\n- **keep_detail:** brings back pores and hair where they stand above the noise. Lower it if grit comes back.\n- **strength:** 0 = original, 1 = fully denoised (0.75 default).\n- **noise_report** tells you how noisy each image actually was. Low number? Leave it alone.\n\n### LC Person Mask 🧍(Optional)\n\n**It's optional.** If all you care about is faces, then you do not need it. The node will find them by itself. It will also grab skin about 50% of the time. However, if you want **all** skin and make sure it misses clothes, then use it.\n**Settings**\n- **engine: mediapipe**, **face** + **body**, **remove_features** on. Mediapipe's body includes torso and neck skin (segformer's is arms and legs only).\n- **remove_features** cuts eyes, brows, lips and teeth out with SAM 3, so the nodes below never smooth or texture them.\n\n\n## LC Skin Master ✨\n\n**What is it?**\n- Your whole skin chain in one node: grit, pores, blemishes, lines, freckles, eyes, skin tone and colour. Each one done once, in order, on one skin map.\n\n- 💡Plug the **skin_mask** into **LC Sharpen Pro**, so skin_protect covers all the skin instead of the part a colour guess finds.\n- ✋ **First run downloads about 80 MB** (face finders) into `models/facexlib`.\n\n**Settings ⚙️**\n\n**Presets**: \n- **Natural** for every day. \n- **Soft Beauty** for images with makeup.\n- **Editorial Detail** for close-ups (sharp 🗡️)\n- **Real Skin Restore** for plastic skin\n- **Weathered** for character (my favorite in most cases)\n- **Sun-Kissed** for freckles. \n- *Moving a slider switches to Custom.*\n\n**Sliders:**\n\n- **pores**: 1 = as it is. Keep it at 1 or more with **pigmentation**, or the freckles look painted on.\n- **add_pores**: for skin that has none. Skin with detail gets less on its own.\n- **wrinkles**: below 0 softens, above 0 deepens the lines already there.\n- **warmth**: below 0 calms orange AI skin.\n- **eye_detail**: 0.5 default, 1.0 is the top.\n\n\n---\n**Credits:**\n\nSkin finding and the retouch adapted from sd-living-skin by sca-285 (MIT) [Here](https://github.com/sca-285/sd-living-skin)\n\n"
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4701 "text": "## LC VOSR2 Upscale🧩\n\n**What is it?**\n\n- An upscaler built for *speed* and low VRAM, with the highest quality possible.\n\n- It uses a dedicated upscale model (VOSR 2.0) that sharpens and adds fine detail without redrawing the picture.\n\n- 💡Hook it up after my detailers with the pipe version. It passes along what the detailers already fixed, so LC Skin Upscale and LC Skin Texture don't turn skin pores into freckles or craters.\n---\n\n### Speed and size chart*\n\n| upscale_by | Output size | Time | GPU memory |\n|---|---|---|---|\n| 1.5x | 1596 x 2028 | 2.8 s | 4.7 GB |\n| 2x | 2128 x 2704 | 4.4 s | 4.8 GB |\n| 3x | 3192 x 4056 | 8.6 s | 5.1 GB |\n| 4x | 4256 x 5408 | 16 s | 5.7 GB |\n| 6x (3x + 2x) | 6384 x 8112 | 46 s | 8.4 GB |\n| 8x (4x + 2x) | 8512 x 10816 | 75 s | 12.0 GB |\n\n**All tests based on a 1064x1352 render on an RTX 5090, warm.*\n\n**⏱️ Time will vary by card, but the output size will not. About 5 GB covers 1.5x - 3x, so it can almost run on a 🥔**\n\n---\n\n**Settings ⚙️**\n\n- **tile_size:** 512, what it was trained at. Leave it.\n- **vae_tile_size:** lower = less VRAM, a little slower.\n- **seed:** only changes the finest grain.\n- **protected:** the detailers' areas at the new size. Wire it into **protect_mask** on LC Skin Upscale and LC Skin Texture so they do not add skin detail twice.\n- 👋🏼 **The first run downloads the weights (about 6.5 GB) into `models/vosr2`.** This takes a few minutes."
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4704 "text": "## LC VOSR2 Upscale🧩\n\n**这是什么?**\n\n- 一个追求*速度*、低 VRAM、同时尽可能高画质的放大器。\n\n- 它使用专用的放大模型(VOSR 2.0),在不重画画面的前提下锐化并补充细节。\n\n- 💡用 pipe 版本接在我的 detailer 之后。它会把 detailer 已经修好的内容传下去,这样 LC Skin Upscale 和 LC Skin Texture 就不会把皮肤毛孔变成雀斑或坑洞。\n---\n\n### 速度与尺寸表*\n\n| upscale_by | 输出尺寸 | 耗时 | 显存占用 |\n|---|---|---|---|\n| 1.5x | 1596 x 2028 | 2.8 s | 4.7 GB |\n| 2x | 2128 x 2704 | 4.4 s | 4.8 GB |\n| 3x | 3192 x 4056 | 8.6 s | 5.1 GB |\n| 4x | 4256 x 5408 | 16 s | 5.7 GB |\n| 6x (3x + 2x) | 6384 x 8112 | 46 s | 8.4 GB |\n| 8x (4x + 2x) | 8512 x 10816 | 75 s | 12.0 GB |\n\n**所有测试基于 RTX 5090 上 1064x1352 的渲染,已预热。*\n\n**⏱️ 耗时因显卡而异,但输出尺寸不会变。1.5x - 3x 大约 5 GB 就够,所以差不多能在一颗 🥔 上跑**\n\n---\n\n**设置 ⚙️**\n\n- **tile_size:** 512,训练时用的值。别动。\n- **vae_tile_size:** 越低 = VRAM 越少,速度稍慢。\n- **seed:** 只影响最细微的颗粒。\n- **protected:** detailer 处理过的区域(按新尺寸)。把它接到 LC Skin Upscale 和 LC Skin Texture 的 **protect_mask**,这样它们就不会重复添加皮肤细节。\n- 👋🏼 **第一次运行会把权重(约 6.5 GB)下载到 `models/vosr2`。** 需要几分钟。\n",
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4709 "text": "## LC VOSR2 Upscale🧩\n\n**これは何?**\n\n- *速度*と低 VRAM を重視しつつ、可能な限り高い品質を出すアップスケーラーです。\n\n- 専用のアップスケールモデル(VOSR 2.0)を使い、絵を描き直さずにシャープにして細かいディテールを加えます。\n\n- 💡 pipe 版を使って、私の detailer の後に接続してください。detailer がすでに直した部分を引き継ぐので、LC Skin Upscale や LC Skin Texture が肌の毛穴をそばかすやクレーターにしてしまうことがありません。\n---\n\n### 速度とサイズの表*\n\n| upscale_by | 出力サイズ | 時間 | GPU メモリ |\n|---|---|---|---|\n| 1.5x | 1596 x 2028 | 2.8 s | 4.7 GB |\n| 2x | 2128 x 2704 | 4.4 s | 4.8 GB |\n| 3x | 3192 x 4056 | 8.6 s | 5.1 GB |\n| 4x | 4256 x 5408 | 16 s | 5.7 GB |\n| 6x (3x + 2x) | 6384 x 8112 | 46 s | 8.4 GB |\n| 8x (4x + 2x) | 8512 x 10816 | 75 s | 12.0 GB |\n\n**すべてのテストは RTX 5090 で、ウォームアップ後の 1064x1352 レンダリングが基準です。*\n\n**⏱️ 時間はカードによって変わりますが、出力サイズは変わりません。約 5 GB で 1.5x - 3x をカバーできるので、🥔でもほぼ動きます**\n\n---\n\n**設定 ⚙️**\n\n- **tile_size:** 512、学習時のサイズです。そのままにしてください。\n- **vae_tile_size:** 小さいほど VRAM を節約でき、その分少し遅くなります。\n- **seed:** ごく細かいグレインだけが変わります。\n- **protected:** 新しいサイズでの detailer の領域です。LC Skin Upscale と LC Skin Texture の **protect_mask** に接続すると、肌のディテールが二重に加わりません。\n- 👋🏼 **初回実行時にウェイト(約 6.5 GB)が `models/vosr2` にダウンロードされます。** 数分かかります。",
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4714 "text": "## LC VOSR2 Upscale🧩\n\n**이게 뭐예요?**\n\n- *속도*와 낮은 VRAM에 맞춰 만들었으면서 가능한 최고 품질을 내는 업스케일러예요.\n\n- 전용 업스케일 모델(VOSR 2.0)을 써서, 그림을 다시 그리지 않고 선명도와 잔디테일을 더해요.\n\n- 💡 pipe 버전으로 내 detailer 뒤에 연결하세요. detailer가 이미 고친 부분을 그대로 넘겨주기 때문에, LC Skin Upscale과 LC Skin Texture가 피부 모공을 주근깨나 크레이터로 바꿔 놓지 않아요.\n---\n\n### 속도와 크기 표*\n\n| upscale_by | 출력 크기 | 시간 | GPU 메모리 |\n|---|---|---|---|\n| 1.5x | 1596 x 2028 | 2.8 s | 4.7 GB |\n| 2x | 2128 x 2704 | 4.4 s | 4.8 GB |\n| 3x | 3192 x 4056 | 8.6 s | 5.1 GB |\n| 4x | 4256 x 5408 | 16 s | 5.7 GB |\n| 6x (3x + 2x) | 6384 x 8112 | 46 s | 8.4 GB |\n| 8x (4x + 2x) | 8512 x 10816 | 75 s | 12.0 GB |\n\n**모든 테스트는 RTX 5090에서 1064x1352 렌더 기준, 워밍업 후 측정했어요.*\n\n**⏱️ 시간은 카드마다 다르지만 출력 크기는 같아요. 1.5x - 3x는 약 5 GB면 충분해서, 거의 🥔에서도 돌아가요**\n\n---\n\n**설정 ⚙️**\n\n- **tile_size:** 512, 학습된 크기예요. 그대로 두세요.\n- **vae_tile_size:** 낮출수록 VRAM이 줄고 조금 느려져요.\n- **seed:** 가장 미세한 그레인만 바뀌어요.\n- **protected:** 새 크기로 변환된 detailer 영역이에요. LC Skin Upscale과 LC Skin Texture의 **protect_mask**에 연결하면 피부 디테일이 두 번 더해지지 않아요.\n- 👋🏼 **처음 실행하면 가중치(약 6.5 GB)를 `models/vosr2`에 다운로드해요.** 몇 분 걸려요.\n",
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4733 "English ✏️",
4734 "## LC VOSR2 Upscale🧩\n\n**What is it?**\n\n- An upscaler built for *speed* and low VRAM, with the highest quality possible.\n\n- It uses a dedicated upscale model (VOSR 2.0) that sharpens and adds fine detail without redrawing the picture.\n\n- 💡Hook it up after my detailers with the pipe version. It passes along what the detailers already fixed, so LC Skin Upscale and LC Skin Texture don't turn skin pores into freckles or craters.\n---\n\n### Speed and size chart*\n\n| upscale_by | Output size | Time | GPU memory |\n|---|---|---|---|\n| 1.5x | 1596 x 2028 | 2.8 s | 4.7 GB |\n| 2x | 2128 x 2704 | 4.4 s | 4.8 GB |\n| 3x | 3192 x 4056 | 8.6 s | 5.1 GB |\n| 4x | 4256 x 5408 | 16 s | 5.7 GB |\n| 6x (3x + 2x) | 6384 x 8112 | 46 s | 8.4 GB |\n| 8x (4x + 2x) | 8512 x 10816 | 75 s | 12.0 GB |\n\n**All tests based on a 1064x1352 render on an RTX 5090, warm.*\n\n**⏱️ Time will vary by card, but the output size will not. About 5 GB covers 1.5x - 3x, so it can almost run on a 🥔**\n\n---\n\n**Settings ⚙️**\n\n- **tile_size:** 512, what it was trained at. Leave it.\n- **vae_tile_size:** lower = less VRAM, a little slower.\n- **seed:** only changes the finest grain.\n- **protected:** the detailers' areas at the new size. Wire it into **protect_mask** on LC Skin Upscale and LC Skin Texture so they do not add skin detail twice.\n- 👋🏼 **The first run downloads the weights (about 6.5 GB) into `models/vosr2`.** This takes a few minutes."
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4738 "text": "## LC VOSR2 Upscale🧩\n\n**What is it?**\n\n- An upscaler built for *speed* and low VRAM, with the highest quality possible.\n\n- It uses a dedicated upscale model (VOSR 2.0) that sharpens and adds fine detail without redrawing the picture.\n\n- 💡Hook it up after my detailers with the pipe version. It passes along what the detailers already fixed, so LC Skin Upscale and LC Skin Texture don't turn skin pores into freckles or craters.\n---\n\n### Speed and size chart*\n\n| upscale_by | Output size | Time | GPU memory |\n|---|---|---|---|\n| 1.5x | 1596 x 2028 | 2.8 s | 4.7 GB |\n| 2x | 2128 x 2704 | 4.4 s | 4.8 GB |\n| 3x | 3192 x 4056 | 8.6 s | 5.1 GB |\n| 4x | 4256 x 5408 | 16 s | 5.7 GB |\n| 6x (3x + 2x) | 6384 x 8112 | 46 s | 8.4 GB |\n| 8x (4x + 2x) | 8512 x 10816 | 75 s | 12.0 GB |\n\n**All tests based on a 1064x1352 render on an RTX 5090, warm.*\n\n**⏱️ Time will vary by card, but the output size will not. About 5 GB covers 1.5x - 3x, so it can almost run on a 🥔**\n\n---\n\n**Settings ⚙️**\n\n- **tile_size:** 512, what it was trained at. Leave it.\n- **vae_tile_size:** lower = less VRAM, a little slower.\n- **seed:** only changes the finest grain.\n- **protected:** the detailers' areas at the new size. Wire it into **protect_mask** on LC Skin Upscale and LC Skin Texture so they do not add skin detail twice.\n- 👋🏼 **The first run downloads the weights (about 6.5 GB) into `models/vosr2`.** This takes a few minutes."
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4963 "text": "\n\n**LC Apply LUT**\n- **strength** 0.2 to 0.4 is usually plenty. Full strength is a sledgehammer.\n- Leave **log** off unless the LUT was made for log footage (it will typically say so in the name).\n- Get free ones [Here](https://freshluts.com/)\n- Drop your `.cube` files here:\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n**LC Natural Look 🍃**\n- Takes the AI look out without making the picture dull.\n- Pulls back only the loudest colours, calms orange and plastic skin, rolls the highlights off instead of clipping them, and cuts the glossy glow while lifting fine texture.\n- Your black point, contrast and brightness stay where they were, with a whisper of grain on top.\n- Goes **last** in post, after the LUT, so the grain sits on top of everything.\n- **strength:** 0.3 - 0.6 for most renders.\n- **skin:** how much orange / plastic skin is calmed, on top of strength. 0 = skin untouched.\n\n\n**LC Image Crop 🖼️🔪**\n- First, so everything after it (depth, vignette, grain) lands on your final framing.\n- X / Y / width / height, or free.\n\n**LC Notify 🔊**\n- hook to any node outlet.\n- plays a selected sound upon completion\n- select from a list of preloaded sounds or place your own in the folder shown below\n\n\n\n```\n📂 ComfyUI/\n│── 📂 custom_nodes\n│ ├── 📂 ComfyUI_LC123_nodes\n│ │ └── 📂 assets\n│ │ └──📂 sounds\n│ │ └── any .mp3 sound\n```\n\n\n---\n\n*\"True Nothing is. Permitted Everything is\"*- Yoda Auditore, **Assassin's Wars**\n\n\n"
4964 },
4965 "zh": {
4966 "text": "### 🛑🚫✋ 我***强烈建议***:固定 seed,跑出图后,上游的任何东西都别再改,这样就不会重新处理。\n\n- VRAM 有问题?看 **LC123 Performance Settings ⚙️** 那条说明。\n- 在右边的 **LC Bypasser** 里开关各个节点。\n- 运行顺序是从左到右、从上到下:和光线穿过真实相机的顺序一样(场景、镜头、胶片)。\n\n**LC Sharpen Pro 🔪**\n- **🍄已升级**\n- **sharpen:** 消除模糊感,而不是描轮廓线。\n- **texture:** 毛孔、布料、头发。\n- **clarity:** 大尺度的冲击力。\n- **halo:** 1 = 没有亮边或暗边。\n- 💡 画作请用 **Lineart / Anime sharp / Illustration**,并把 **skin_protect** 设为 0。\n\n\n**Depth Anything V2 🗺️**\n- 用于 Depth FX。\n- 只有在 Depth FX 开启时才会运行。\n\n**LC Depth FX 🌫️**\n- **haze:** 远处区域向图像自身的雾色渐隐。\n- **light_wrap:** 背景光漫过主体边缘。消除\"剪纸贴图\"的感觉。\n- **dof_blur:** 带真实焦外虚化的景深。主体不会糊进背景。\n- **auto_focus** 会在画面中上部找到主体。\n\n**LC Bloom**\n- 把 **mode** 切到 **Pro-Mist**,就是镜头前加了一片柔光滤镜:柔和的辉光,对比度更温和。\n- 💡 一点点很梦幻。太多就是起雾。\n\n**LC Lens Profile**\n- 真实的镜头畸变、色差和暗角(Canon 50mm f/1.8、Helios 44-2 等)。\n\n**LC Bloom · Halation**\n- 胶片在亮边周围产生的红橙色光晕。不是粉色的一层雾。\n\n**LC Apply LUT**\n- **strength** 0.2 到 0.4 通常就够了。满强度像大锤。\n- 除非 LUT 是为 log 素材做的(名字里通常会写),否则保持 **log** 关闭。\n- 在[这里](https://freshluts.com/)获取免费的\n- 把你的 `.cube` 文件放到这里:\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n\n**LC Phone Filters 📱**\n- 就是 Instagram 滤镜。\n\n\n**LC Natural Look 🍃**\n- 去掉 AI 味,又不会让画面变灰变闷。\n- 只收敛最刺眼的颜色,压住偏橙和塑料感的皮肤,高光柔和滚降而不是直接裁切,去掉油亮的光晕同时提升细微纹理。\n- 你的黑点、对比度和亮度保持原样,顶上再加一点点颗粒。\n- 在后期里放**最后**,放在 LUT 之后,这样颗粒会盖在所有东西之上。\n- **strength:** 大多数渲染用 0.3 - 0.6。\n- **skin:** 在 strength 之外,额外压制多少偏橙 / 塑料感的皮肤。0 = 皮肤不动。\n\n\n**LC Image Crop 🖼️🔪**\n- 放第一个,这样后面所有东西(景深、暗角、颗粒)都落在你最终的构图上。\n- X / Y / width / height,或自由裁切。\n\n---\n\n*\"True Nothing is. Permitted Everything is\"*- Yoda Auditore, **Assassin's Wars**\n\n\n\n",
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4970 "ja": {
4971 "text": "### 🛑🚫✋ seed を固定して画像を実行し、再処理が走らないよう、それより上流には一切手を加えないことを***強くおすすめします***。\n\n- VRAM の問題? **LC123 Performance Settings ⚙️** のノートを見てください。\n- ノードのオン/オフは右側の **LC Bypasser** で行います。\n- 左から右、上から下へ処理が進みます。実際のカメラで光が通る順番(シーン、レンズ、フィルム)と同じです。\n\n**LC Sharpen Pro 🔪**\n- **🍄アップグレード済み**\n- **sharpen:** 輪郭線を描くのではなく、ぼやけを元に戻します。\n- **texture:** 毛穴、布、髪。\n- **clarity:** 大きなスケールでのメリハリです。\n- **halo:** 1 = 明るい縁や暗い縁が出ません。\n- 💡 イラストには **Lineart / Anime sharp / Illustration** を使い、**skin_protect** は 0 にします。\n\n\n**Depth Anything V2 🗺️**\n- Depth FX で使います。\n- Depth FX がオンのときだけ実行されます。\n\n**LC Depth FX 🌫️**\n- **haze:** 遠くの領域が、その画像自身のもやの色に向かってフェードします。\n- **light_wrap:** 背景の光が被写体の縁に回り込みます。切り抜きステッカーっぽさがなくなります。\n- **dof_blur:** 本物のボケを伴う被写界深度です。被写体が背景に溶け出すことはありません。\n- **auto_focus** はフレームの上寄りの中央にいる被写体を見つけます。\n\n**LC Bloom**\n- **mode** を **Pro-Mist** に切り替えると、レンズの前に置くディフュージョンフィルターになります。柔らかい輝きと穏やかなコントラストです。\n- 💡 少しならドリーミー。やりすぎると霧です。\n\n**LC Lens Profile**\n- 本物のレンズの歪み、色収差、ビネットを再現します(Canon 50mm f/1.8、Helios 44-2 など)。\n\n**LC Bloom · Halation**\n- フィルムが明るい縁の周りに出す赤橙色の光です。ピンクがかった霞とは違います。\n\n**LC Apply LUT**\n- **strength** は 0.2 から 0.4 でたいてい十分です。フル強度は大ハンマーです。\n- LUT がログ素材向けに作られたものでない限り、**log** はオフのままにしてください(たいてい名前でわかります)。\n- 無料のものは[こちら](https://freshluts.com/)\n- `.cube` ファイルはここに入れてください:\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n\n**LC Phone Filters 📱**\n- Instagram のフィルターです。\n\n\n**LC Natural Look 🍃**\n- 絵を味気なくせずに、AI っぽさだけを取り除きます。\n- 一番主張の強い色だけを引き戻し、オレンジ色やプラスチックっぽい肌を落ち着かせ、ハイライトはクリップせずなだらかに落とし、テカテカした輝きを抑えつつ細かいテクスチャを持ち上げます。\n- 黒レベル、コントラスト、明るさはそのままで、上にほんのりグレインを乗せます。\n- ポストの**最後**、LUT の後に置きます。グレインが全体の上に乗ります。\n- **strength:** たいていの出力では 0.3 - 0.6 です。\n- **skin:** strength に加えて、オレンジ/プラスチックっぽい肌をどれだけ落ち着かせるかを決めます。0 = 肌はそのままです。\n\n\n**LC Image Crop 🖼️🔪**\n- 最初に置きます。これより後のすべて(depth、vignette、grain)が最終的なフレーミングに対してかかります。\n- X / Y / width / height、またはフリーです。\n\n---\n\n*\"True Nothing is. Permitted Everything is\"*- Yoda Auditore, **Assassin's Wars**\n\n\n",
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4976 "text": "### 🛑🚫✋ seed를 고정하고 이미지를 한 번 돌린 다음, 업스트림은 건드리지 않기를 ***강력히 권해요***. 그래야 다시 처리되지 않아요.\n\n- VRAM 문제? **LC123 Performance Settings ⚙️** 노트를 보세요.\n- 오른쪽의 **LC Bypasser**에서 노드를 켜고 끄세요.\n- 왼쪽에서 오른쪽, 위에서 아래로 실행돼요: 실제 카메라에서 빛이 지나는 순서(장면, 렌즈, 필름)와 같아요.\n\n**LC Sharpen Pro 🔪**\n- **🍄업그레이드됨**\n- **sharpen:** 윤곽선을 그리는 대신 흐릿함을 되돌려요.\n- **texture:** 모공, 천, 머리카락.\n- **clarity:** 큰 스케일의 펀치감.\n- **halo:** 1 = 밝거나 어두운 테두리 없음.\n- 💡 그림에는 **Lineart / Anime sharp / Illustration**을 쓰고, **skin_protect**는 0으로 두세요.\n\n\n**Depth Anything V2 🗺️**\n- Depth FX에 사용돼요.\n- Depth FX가 켜져 있을 때만 실행돼요.\n\n**LC Depth FX 🌫️**\n- **haze:** 먼 영역이 이미지 자체의 안개 색으로 서서히 사라져요.\n- **light_wrap:** 배경 빛이 피사체 가장자리로 번져요. 오려 붙인 스티커 같은 느낌을 없애줘요.\n- **dof_blur:** 진짜 보케가 있는 피사계 심도. 피사체가 배경에 번지지 않아요.\n- **auto_focus**는 프레임 위쪽 가운데에서 피사체를 찾아요.\n\n**LC Bloom**\n- **mode**를 **Pro-Mist**로 바꾸면 렌즈 앞에 디퓨전 필터를 단 효과가 나요: 부드러운 글로우, 한결 완만한 대비.\n- 💡 조금이면 몽환적이고, 많이 하면 안개가 돼요.\n\n**LC Lens Profile**\n- 실제 렌즈의 왜곡, 색수차, 비네트 (Canon 50mm f/1.8, Helios 44-2 등).\n\n**LC Bloom · Halation**\n- 필름에서 밝은 가장자리 둘레에 생기는 붉은 주황색 글로우. 분홍빛으로 뒤덮이지 않아요.\n\n**LC Apply LUT**\n- **strength** 0.2에서 0.4면 보통 충분해요. 최대치는 쇠망치예요.\n- LUT이 log 영상용으로 만들어진 게 아니면 **log**는 끄세요 (보통 이름에 적혀 있어요).\n- 무료 LUT는 [여기](https://freshluts.com/)에서 받으세요\n- `.cube` 파일은 여기에 넣으세요:\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n\n**LC Phone Filters 📱**\n- 인스타그램 필터예요.\n\n\n**LC Natural Look 🍃**\n- 이미지를 밋밋하게 만들지 않으면서 AI 티를 빼줘요.\n- 가장 튀는 색만 덜어내고, 주황빛과 플라스틱 같은 피부를 가라앉히고, 하이라이트는 잘라내지 않고 부드럽게 굴려 주며, 번들거리는 광택은 줄이고 잔 텍스처는 살려요.\n- 블랙 포인트, 대비, 밝기는 그대로 유지하고, 위에 살짝 그레인을 얹어요.\n- 후처리에서 LUT 다음, **맨 마지막**에 넣어서 그레인이 모든 것 위에 얹히게 하세요.\n- **strength:** 대부분 0.3 - 0.6.\n- **skin:** strength에 더해, 주황빛/플라스틱 피부를 얼마나 가라앉힐지. 0 = 피부는 건드리지 않아요.\n\n\n**LC Image Crop 🖼️🔪**\n- 맨 처음에 넣어서, 이후의 모든 것(depth, vignette, grain)이 최종 프레이밍 위에 적용되게 하세요.\n- X / Y / width / height, 또는 free.\n\n---\n\n*\"True Nothing is. Permitted Everything is\"*- Yoda Auditore, **Assassin's Wars**\n\n\n\n",
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4996 "\n\n**LC Apply LUT**\n- **strength** 0.2 to 0.4 is usually plenty. Full strength is a sledgehammer.\n- Leave **log** off unless the LUT was made for log footage (it will typically say so in the name).\n- Get free ones [Here](https://freshluts.com/)\n- Drop your `.cube` files here:\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n**LC Natural Look 🍃**\n- Takes the AI look out without making the picture dull.\n- Pulls back only the loudest colours, calms orange and plastic skin, rolls the highlights off instead of clipping them, and cuts the glossy glow while lifting fine texture.\n- Your black point, contrast and brightness stay where they were, with a whisper of grain on top.\n- Goes **last** in post, after the LUT, so the grain sits on top of everything.\n- **strength:** 0.3 - 0.6 for most renders.\n- **skin:** how much orange / plastic skin is calmed, on top of strength. 0 = skin untouched.\n\n\n**LC Image Crop 🖼️🔪**\n- First, so everything after it (depth, vignette, grain) lands on your final framing.\n- X / Y / width / height, or free.\n\n**LC Notify 🔊**\n- hook to any node outlet.\n- plays a selected sound upon completion\n- select from a list of preloaded sounds or place your own in the folder shown below\n\n\n\n```\n📂 ComfyUI/\n│── 📂 custom_nodes\n│ ├── 📂 ComfyUI_LC123_nodes\n│ │ └── 📂 assets\n│ │ └──📂 sounds\n│ │ └── any .mp3 sound\n```\n\n\n---\n\n*\"True Nothing is. Permitted Everything is\"*- Yoda Auditore, **Assassin's Wars**\n\n\n"
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5000 "text": "\n\n**LC Apply LUT**\n- **strength** 0.2 to 0.4 is usually plenty. Full strength is a sledgehammer.\n- Leave **log** off unless the LUT was made for log footage (it will typically say so in the name).\n- Get free ones [Here](https://freshluts.com/)\n- Drop your `.cube` files here:\n```\nComfyUI/\n└── models/\n └── luts/\n ├── your_look.cube\n ├── film_emulation.cube\n └── ...\n```\n\n**LC Natural Look 🍃**\n- Takes the AI look out without making the picture dull.\n- Pulls back only the loudest colours, calms orange and plastic skin, rolls the highlights off instead of clipping them, and cuts the glossy glow while lifting fine texture.\n- Your black point, contrast and brightness stay where they were, with a whisper of grain on top.\n- Goes **last** in post, after the LUT, so the grain sits on top of everything.\n- **strength:** 0.3 - 0.6 for most renders.\n- **skin:** how much orange / plastic skin is calmed, on top of strength. 0 = skin untouched.\n\n\n**LC Image Crop 🖼️🔪**\n- First, so everything after it (depth, vignette, grain) lands on your final framing.\n- X / Y / width / height, or free.\n\n**LC Notify 🔊**\n- hook to any node outlet.\n- plays a selected sound upon completion\n- select from a list of preloaded sounds or place your own in the folder shown below\n\n\n\n```\n📂 ComfyUI/\n│── 📂 custom_nodes\n│ ├── 📂 ComfyUI_LC123_nodes\n│ │ └── 📂 assets\n│ │ └──📂 sounds\n│ │ └── any .mp3 sound\n```\n\n\n---\n\n*\"True Nothing is. Permitted Everything is\"*- Yoda Auditore, **Assassin's Wars**\n\n\n"
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6092 "version": "7.8"
6093 }
6094 },
6095 "widgets_values": [
6096 "Stitch"
6097 ],
6098 "widgets_values_named": {
6099 "value": "Stitch"
6100 },
6101 "color": "#232",
6102 "bgcolor": "#353"
6103 },
6104 {
6105 "id": 1380,
6106 "type": "LCBatchImageComparer",
6107 "pos": [
6108 216040,
6109 70810
6110 ],
6111 "size": [
6112 670,
6113 900
6114 ],
6115 "flags": {
6116 "pinned": true
6117 },
6118 "order": 55,
6119 "mode": 0,
6120 "inputs": [
6121 {
6122 "label": "original",
6123 "name": "image_a",
6124 "shape": 7,
6125 "type": "IMAGE",
6126 "link": 2705
6127 },
6128 {
6129 "label": "Final",
6130 "name": "image_b",
6131 "shape": 7,
6132 "type": "IMAGE",
6133 "link": 2706
6134 }
6135 ],
6136 "outputs": [
6137 {
6138 "name": "images",
6139 "type": "IMAGE",
6140 "links": null
6141 }
6142 ],
6143 "properties": {
6144 "cnr_id": "ComfyUI_LC123_nodes",
6145 "ver": "4889a4c99adb876ee097fd83b50ff7970fd9ef2b",
6146 "Node name for S&R": "LCBatchImageComparer",
6147 "comparer_mode": "Slide",
6148 "ue_properties": {
6149 "widget_ue_connectable": [],
6150 "input_ue_unconnectable": [],
6151 "version": "7.8"
6152 }
6153 },
6154 "color": "#324B4B",
6155 "bgcolor": "#324B4B"
6156 },
6157 {
6158 "id": 1381,
6159 "type": "LCImageLabel",
6160 "pos": [
6161 214920,
6162 69630
6163 ],
6164 "size": [
6165 208.9,
6166 208.9
6167 ],
6168 "flags": {
6169 "pinned": true
6170 },
6171 "order": 35,
6172 "mode": 0,
6173 "inputs": [],
6174 "outputs": [],
6175 "properties": {
6176 "imgW": 198.9,
6177 "imgH": 198.9,
6178 "angle": 0,
6179 "size": 199,
6180 "padding": 5,
6181 "borderWidth": 0,
6182 "borderColor": "#ffffff",
6183 "borderRadius": 0,
6184 "backgroundColor": "transparent",
6185 "bgTransparent": true,
6186 "syncImageRadius": true,
6187 "imageRadius": 0,
6188 "embeddedData": 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6191 "ue_properties": {
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6193 "version": "7.8",
6194 "input_ue_unconnectable": []
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6200 "widgets_values_named": {
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6202 },
6203 "color": "#fff0",
6204 "bgcolor": "#fff0"
6205 },
6206 {
6207 "id": 1382,
6208 "type": "LCLabel",
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6213 "size": [
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6217 "flags": {
6218 "pinned": true
6219 },
6220 "order": 36,
6221 "mode": 0,
6222 "inputs": [],
6223 "outputs": [],
6224 "properties": {
6225 "text": "Lonecat's",
6226 "font": "Georgia",
6227 "size": 100,
6228 "bold": true,
6229 "italic": false,
6230 "color": "#999999",
6231 "align": "center",
6232 "outline": false,
6233 "outlineColor": "#000000",
6234 "outlineWidth": 4,
6235 "shadow": false,
6236 "shadowBlur": 10,
6237 "bg": false,
6238 "bgColor": "#324B4B",
6239 "radius": 12,
6240 "padding": 8,
6241 "angle": 0,
6242 "width": 515,
6243 "cnr_id": "ComfyUI_LC123_nodes",
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6586 "en": {
6587 "text": "# Instructions\n\n---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n**What is it?**\n- Turns an anime, cartoon or illustrated picture into a real photo of the same person: same pose, same outfit, same framing.\n- **Krea 2 Ostris Edit** + the **Anime to Realism** edit LoRA. It edits the picture you load instead of making a new one, so the layout stays put.\n\n---\n## General:\n\n # 🛑🚫✋Do not manually bypass anything! There are switches for everything.\n\n\n## Model Links\n\n**loras**\n- ✋ [Anime to Realism](https://civitai.red/models/2783657/anime-to-realism?modelVersionId=3135402)\n\n\n**diffusion_models**\n- The **LC Model Optimizer ⚡** picks the files that fit your card. Missing one shows ★⬇: click it to download.\n- Or grab them yourself:\n - [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n - [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n**text_encoders**\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n\n## How to use\n\n**Image 1 🖼️**\n- Your anime picture.\n- **Max Resolution:** the long side of the picture. Lower it for VRAM savings.\n- **Use Image Aspect Ratio 📐** keeps the drawing's shape.\n- **Remove background** cuts the character out first (useful with teh second image)\n\n**Image 2**\n- Optional. Turn on **Use Image 2** to give the edit a second picture to look at (mainly background).\n\n**📝 Prompts**\n- **Detail prompt** leave it\n- **Custom Prompt** Helpful when you are trying to blend the two images. Leave it blank normally\n\n**Final 🖼️ & Save 💾**\n- Saves the picture and a before / after stitch into the **Anime 2 Real** folder.\n\n\n### OOM errors & Tricks\n- Lower **Max Resolution**.\n- Lower the **Upscale Size**, or turn VOSR2 off.\n\n\n### File Storage Locations\n\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── 📂 Krea 2/\n│ │ └── 📂 Utilities/\n│ │ └── Anime to Realism LoRA\n│ ├── 📂 luts\n│ │ └── Lut files\n```\n"
6588 }
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6602 "# Instructions\n\n---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n**What is it?**\n- Turns an anime, cartoon or illustrated picture into a real photo of the same person: same pose, same outfit, same framing.\n- **Krea 2 Ostris Edit** + the **Anime to Realism** edit LoRA. It edits the picture you load instead of making a new one, so the layout stays put.\n\n---\n## General:\n\n # 🛑🚫✋Do not manually bypass anything! There are switches for everything.\n\n\n## Model Links\n\n**loras**\n- ✋ [Anime to Realism](https://civitai.red/models/2783657/anime-to-realism?modelVersionId=3135402)\n\n\n**diffusion_models**\n- The **LC Model Optimizer ⚡** picks the files that fit your card. Missing one shows ★⬇: click it to download.\n- Or grab them yourself:\n - [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n - [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n**text_encoders**\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n\n## How to use\n\n**Image 1 🖼️**\n- Your anime picture.\n- **Max Resolution:** the long side of the picture. Lower it for VRAM savings.\n- **Use Image Aspect Ratio 📐** keeps the drawing's shape.\n- **Remove background** cuts the character out first (useful with teh second image)\n\n**Image 2**\n- Optional. Turn on **Use Image 2** to give the edit a second picture to look at (mainly background).\n\n**📝 Prompts**\n- **Detail prompt** leave it\n- **Custom Prompt** Helpful when you are trying to blend the two images. Leave it blank normally\n\n**Final 🖼️ & Save 💾**\n- Saves the picture and a before / after stitch into the **Anime 2 Real** folder.\n\n\n### OOM errors & Tricks\n- Lower **Max Resolution**.\n- Lower the **Upscale Size**, or turn VOSR2 off.\n\n\n### File Storage Locations\n\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── 📂 Krea 2/\n│ │ └── 📂 Utilities/\n│ │ └── Anime to Realism LoRA\n│ ├── 📂 luts\n│ │ └── Lut files\n```\n"
6603 ],
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6605 "language": "English ✏️",
6606 "text": "# Instructions\n\n---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n**What is it?**\n- Turns an anime, cartoon or illustrated picture into a real photo of the same person: same pose, same outfit, same framing.\n- **Krea 2 Ostris Edit** + the **Anime to Realism** edit LoRA. It edits the picture you load instead of making a new one, so the layout stays put.\n\n---\n## General:\n\n # 🛑🚫✋Do not manually bypass anything! There are switches for everything.\n\n\n## Model Links\n\n**loras**\n- ✋ [Anime to Realism](https://civitai.red/models/2783657/anime-to-realism?modelVersionId=3135402)\n\n\n**diffusion_models**\n- The **LC Model Optimizer ⚡** picks the files that fit your card. Missing one shows ★⬇: click it to download.\n- Or grab them yourself:\n - [krea2_turbo_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_turbo_fp8_scaled.safetensors)\n - [Krealism](https://civitai.red/models/2786809/krealism?modelVersionId=3139976)\n\n**text_encoders**\n- [qwen3vl_4b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors)\n- NSFW [qwen3vl_4b_Heritic](https://civitai.red/api/download/models/3066989?fileId=2945735)\n\n**vae**\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n\n## How to use\n\n**Image 1 🖼️**\n- Your anime picture.\n- **Max Resolution:** the long side of the picture. Lower it for VRAM savings.\n- **Use Image Aspect Ratio 📐** keeps the drawing's shape.\n- **Remove background** cuts the character out first (useful with teh second image)\n\n**Image 2**\n- Optional. Turn on **Use Image 2** to give the edit a second picture to look at (mainly background).\n\n**📝 Prompts**\n- **Detail prompt** leave it\n- **Custom Prompt** Helpful when you are trying to blend the two images. Leave it blank normally\n\n**Final 🖼️ & Save 💾**\n- Saves the picture and a before / after stitch into the **Anime 2 Real** folder.\n\n\n### OOM errors & Tricks\n- Lower **Max Resolution**.\n- Lower the **Upscale Size**, or turn VOSR2 off.\n\n\n### File Storage Locations\n\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── krea2_turbo_fp8_scaled.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── qwen3vl_4b_fp8_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── qwen_image_vae.safetensors\n│ ├──📂 loras/\n│ │ └── 📂 Krea 2/\n│ │ └── 📂 Utilities/\n│ │ └── Anime to Realism LoRA\n│ ├── 📂 luts\n│ │ └── Lut files\n```\n"
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7854 "widget": "rows",
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7869 "settings": [
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7872 "widget": "value",
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7886 "text": "The model, the sampler and the edit LoRA.\n\n💡 Missing a model file? The optimizer shows ★⬇. Click it to download.",
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7891 "why": "Krea 2 (Turbo). Leave the files on ★ Recommended and it picks what fits your card."
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7896 "why": "10 steps at cfg 1. That's Turbo."
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7920 ],
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7922 "settings": [
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7926 "why": "The realism prompt. Leave it."
7927 },
7928 {
7929 "node": 1284,
7930 "widget": "value",
7931 "why": "Background, action, anything to add or change: \"standing on a rainy street at night\". Empty keeps the scene."
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7937 "title": "Detailer Group 🔎",
7938 "groups": [
7939 {
7940 "title": "Detailer Group 🔎",
7941 "index": 1
7942 },
7943 {
7944 "title": "# ::Face 🙂",
7945 "index": 2
7946 }
7947 ],
7948 "nodes": [],
7949 "text": "Finds the face with SAM 3.1, redraws it at full detail and blends it back in.\n\n💡 Turn it on and off with pssst....over here 🤫",
7950 "settings": [
7951 {
7952 "node": 1290,
7953 "widget": "RGTHREE_TOGGLE_AND_NAV",
7954 "why": "On / off for the face detailer."
7955 },
7956 {
7957 "node": 1293,
7958 "widget": "rows",
7959 "why": "denoise 0.15 is a clean-up. feather blends the edges."
7960 },
7961 {
7962 "node": 1299,
7963 "widget": "positive",
7964 "why": "What the face detailer adds. Keep it short."
7965 }
7966 ]
7967 },
7968 {
7969 "title": "VOSR2 Upscale",
7970 "groups": [
7971 {
7972 "title": "#VOSR2 Upscale",
7973 "index": 6
7974 }
7975 ],
7976 "nodes": [
7977 "1327",
7978 "1342"
7979 ],
7980 "text": "An upscaler built for speed and low VRAM. It sharpens and adds fine detail without redrawing the picture.\n\n💡 The first run downloads its model, so give it a minute.",
7981 "settings": [
7982 {
7983 "node": 1327,
7984 "widget": "value",
7985 "why": "How big. Lower it if you run out of VRAM."
7986 },
7987 {
7988 "node": 1342,
7989 "widget": "RGTHREE_TOGGLE_AND_NAV",
7990 "why": "Turns the upscale off."
7991 }
7992 ]
7993 },
7994 {
7995 "title": "Skin Realism Suite",
7996 "groups": [
7997 {
7998 "title": "Skin Realism Suite",
7999 "index": 7
8000 }
8001 ],
8002 "nodes": [],
8003 "text": "Your whole skin chain: grit, pores, blemishes and tone.",
8004 "settings": [
8005 {
8006 "node": 1329,
8007 "widget": "rows",
8008 "why": "Switch Denoise, Person Mask and Skin Master on and off here."
8009 },
8010 {
8011 "node": 1336,
8012 "widget": "preset",
8013 "why": "Real Skin Restore is made for plastic skin. Exactly what an anime conversion gives you."
8014 }
8015 ]
8016 },
8017 {
8018 "title": "🎨 Post Processing (Realism Edition)",
8019 "groups": [
8020 {
8021 "title": "🎨 Post Processing (Realism Edition)",
8022 "index": 8
8023 }
8024 ],
8025 "nodes": [
8026 "1350"
8027 ],
8028 "text": "Color, the final AI clean-up, crop and the DING!",
8029 "settings": [
8030 {
8031 "node": 1350,
8032 "widget": "Enable 1",
8033 "why": "Turn each one on and off here."
8034 },
8035 {
8036 "node": 1368,
8037 "widget": "strength",
8038 "why": "0.2 to 0.4 is usually plenty. Full strength is a sledgehammer."
8039 },
8040 {
8041 "node": 1361,
8042 "widget": "strength",
8043 "why": "The holy grail of realism. 0.3 - 0.6 for most renders."
8044 }
8045 ]
8046 },
8047 {
8048 "title": "Final 🖼️& Save 💾",
8049 "groups": [
8050 {
8051 "title": "Final 🖼️& Save 💾",
8052 "index": 10
8053 }
8054 ],
8055 "nodes": [],
8056 "text": "Saves the picture and a before / after stitch.",
8057 "settings": [
8058 {
8059 "node": 1371,
8060 "widget": "folder",
8061 "why": "Everything lands in this folder."
8062 },
8063 {
8064 "node": 1371,
8065 "widget": "timestamp",
8066 "why": "Puts the date on the folder. Personal preference."
8067 }
8068 ]
8069 }
8070 ]
8071 }
8072 },
8073 "lc_guides": [
8074 {
8075 "axis": "y",
8076 "v": 69930,
8077 "kind": "group"
8078 },
8079 {
8080 "axis": "x",
8081 "v": 215810,
8082 "kind": "group"
8083 },
8084 {
8085 "axis": "x",
8086 "v": 215840,
8087 "kind": "node"
8088 },
8089 {
8090 "axis": "x",
8091 "v": 216320,
8092 "kind": "node"
8093 },
8094 {
8095 "axis": "x",
8096 "v": 216350,
8097 "kind": "node"
8098 },
8099 {
8100 "axis": "x",
8101 "v": 216730,
8102 "kind": "node"
8103 },
8104 {
8105 "axis": "x",
8106 "v": 216760,
8107 "kind": "group"
8108 },
8109 {
8110 "axis": "x",
8111 "v": 218370,
8112 "kind": "group"
8113 },
8114 {
8115 "axis": "x",
8116 "v": 218400,
8117 "kind": "group"
8118 },
8119 {
8120 "axis": "x",
8121 "v": 214540,
8122 "kind": "group"
8123 },
8124 {
8125 "axis": "x",
8126 "v": 214550,
8127 "kind": "node"
8128 },
8129 {
8130 "axis": "x",
8131 "v": 214510,
8132 "kind": "group"
8133 },
8134 {
8135 "axis": "y",
8136 "v": 69790,
8137 "kind": "node"
8138 }
8139 ]
8140 },
8141 "extensions": {
8142 "seed_widgets": {
8143 "1025": 0,
8144 "1093": 1,
8145 "1120": 3,
8146 "1187": 1
8147 }
8148 },
8149 "version": 0.4,
8150 "seed_widgets": {
8151 "1279": 0,
8152 "1334": 1,
8153 "1336": 16,
8154 "1361": 2
8155 }
8156}